## Publications

### Preprints and Working Papers

[] L. Marla, L. R. Varshney, D. Shah, N. A. Prakash, and M. E. Gale, “Short and Wide Network Paths,” arXiv:1911.00344 [cs.NE].

[] A. Tandon, V. Y. F. Tan, and L. R. Varshney, “On the Bee-Identification Error Exponent with Absentee Bees,” arXiv:1910.10333 [cs.IT].

[] H. Yu, I. Mineyev, and L. R. Varshney, “Orbit Computation for Atomically Generated Subgroups of Isometries of Z^{n},” arXiv:1910.01317 [math.GR].

[] N. S. Keskar, B. McCann, L. R. Varshney, C. Xiong, and R. Socher, “CTRL: A Conditional Transformer Language Model for Controllable Generation,” arXiv:1909.05858 [cs.CL].

[] L. Wang, H. Zhou, B. Li, L. R. Varshney, and Z. Zhao, “Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits,” arXiv:1909.05886 [cs.LG].

[] Y. Kim, Y. Cassuto, and L. R. Varshney, “Boosting Classifiers with Noisy Inference,” arXiv:1909.04766 [cs.LG].

[] L. R. Varshney, N. S. Keskar, and R. Socher, “Pretrained AI Models: Performativity, Mobility, and Change,” arXiv:1909.03290 [cs.CY].

[] D. Seo, A. Chaaban, L. R. Varshney, and M.-S. Alouini, “Classes of Full-Duplex Channels with Capacity Achieved Without Adaptation,” arXiv:1908.04327 [cs.IT].

[] D. Seo, A. Chatterjee, and L. R. Varshney, “On Multiple-Access Systems with Queue-Length Dependent Service Quality,” arXiv:1905.13099 [cs.IT].

[] R. Chen and L. R. Varshney, “Optimal Recovery of Missing Values for Non-negative Matrix Factorization,” biorXiv 647560.

[] S. Agarwal and L. R. Varshney, “Limits of Deepfake Detection: A Robust Estimation Viewpoint,” arXiv:1905.03493 [cs.LG].

[] T. Nishida, L. R. Varshney, and Y. Ishikawa, “Dynamic Network Signatures of Labor Flows: Evidence from a Large Business Social Network,” submitted.

[] D. G. Dobakhshari, L. R. Varshney, and V. Gupta, “Mechanism Design for Task Delegation to Agents with Private Ordering Preferences,” arXiv:1902.00138 [math.OC].

[] D. Seo and L. R. Varshney, “The CEO Problem with rth Power of Difference and Logarithmic Distortions,” arXiv:1812.00903 [cs.IT].

[] H. Yu, I. Mineyev, and L. R. Varshney, “A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering,” arXiv:1807.11167 [cs.LG].

[] S. Basu and L. R. Varshney, “Universal and Succinct Source Coding of Deep Neural Networks,” arXiv:1804.02800 [cs.IT].

[] T.-Y. Wu, A. Tandon, L. R. Varshney, and M. Motani, “Skip-Sliding Window Codes,” arXiv:1711.09494 [cs.IT].

[] R. K. Raman and L. R. Varshney, “Dynamic Distributed Storage for Scaling Blockchains,” arXiv:1711.07617 [cs.IT].

[] M. A. Donmez, M. Raginsky, A. C. Singer, and L. R. Varshney, “Cost-Performance Tradeoffs in Fusing Unreliable Computational Units,” arXiv:1705.07779 [cs.PF].

[] A. Chatterjee and L. R. Varshney, “Energy-Reliability Limits in Nanoscale Circuits,” arXiv:1607.03572 [cs.IT].

[] L. R. Varshney, S. Agarwal, Y.-M. Chee, R. R. Sindhgatta, D. V. Oppenheim, J. Lee, and K. Ratakonda, “Cognitive Coordination of Global Service Delivery,” arXiv:1406.0215 [cs.OH].

### Journal Papers and Magazine Articles

[58] D. Somaya and L. R. Varshney, “Ownership Dilemmas in an Age of Creative Machines,” *Issues in Science and Technology*, vol. 36, no. 2, pp. 79-85, Winter 2020.

[57] A. Tandon, V. Y. F. Tan, and L. R. Varshney, “The Bee-Identification Problem: Bounds on the Error Exponent,” *IEEE Transactions on Communications*, vol. 67, no. 11, pp. 7405-7416, November 2019.

[56] D. Seo, R. K. Raman, J. B. Rhim, V. K. Goyal, and L. R. Varshney, “Beliefs in Decision-Making Cascades,” *IEEE Transactions on Signal Processing*, vol. 67, no. 19, pp. 5103-5117, October 2019.

[55] J. Mulrow, N. Kshetry, D. A. Brose, K. Kumar, D. Jain, M. Shah, T. E. Kunetz, and L. R. Varshney, “Prediction of Odor Complaints at a Large Composite Reservoir in a Highly Urbanized Area,” *Water Environment Research*, to appear.

[54] N. C. Sevuktekin, L. R. Varshney, P. K. Hanumolu, and A. C. Singer, “Signal Processing Foundations for Time-based Signal Representations,” *IEEE Signal Processing Magazine*, vol. 36, no. 6, pp. 38-50, November 2019.

[53] A. Tandon, M. Motani, and L. R. Varshney, “Are RLL Codes Suitable for Simultaneous Energy and Information Transfer?,” *IEEE Transactions on Green Communications and Networking*, vol. 3, no. 4, pp. 988-996, December 2019.

[52] T.-Y. Wu, L. R. Varshney, and V. Y. F. Tan, “On the Throughput of Channels that Wear Out,” *IEEE Transactions on Communications*, vol. 67, no. 8, pp. 5311-5320, August 2019.

[51] D. Seo and L. R. Varshney, “Information and Energy Transmission with Experimentally-Sampled Harvesting Functions,” *IEEE Transactions on Communications*, vol. 67, no. 6, pp. 4479-4490, June 2019.

[50] L. R. Varshney, “Mathematical Limit Theorems for Computational Creativity,” *IBM Journal of Research and Development*, vol. 63, no. 1, pp. 2:1-2:12, January/February 2019.

[49] L. R. Varshney, F. Pinel, K. R. Varshney, D. Bhattacharjya, A. Schoergendorfer, and Y.-M. Chee, “A Big Data Approach to Computational Creativity: The Curious Case of Chef Watson,” *IBM Journal of Research and Development*, vol. 63, no. 1, pp. 7:1-7:18, January/February 2019.

[48] L. R. Varshney, “Must Surprise Trump Information?,” *IEEE Technology and Society Magazine*, vol. 38, no. 1, pp. 81–87, March 2019.

[47] Y. Kim, R. K. Raman, Y.-S. Kim, L. R. Varshney, and N. R. Shanbhag, “Efficient Local Secret Sharing for Distributed Blockchain Systems,” *IEEE Communications Letters*, vol. 23, no. 2, pp. 282–285, February 2019.

[46] N. R. Shanbhag, N. Verma, Y. Kim, A. D. Patil, and L. R. Varshney, “Shannon-inspired Statistical Computing for the Nanoscale Era,” *Proceedings of the IEEE*, vol. 107, no. 1, pp. 90–107, January 2019.

[45] A. Sarathy, N. B. M. Athreya, L. R. Varshney, and J.-P. Leburton, “Classification of Epigenetic Biomarkers with Atomically Thin Nanopores,” *Journal of Physical Chemistry Letters*, vol. 9, no. 19, pp. 5718–5725, October 2018.

[44] R. K. Raman and L. R. Varshney, “Universal Joint Image Clustering and Registration using Multivariate Information Measures,” *IEEE Journal of Selected Topics in Signal Processing*, vol. 12, no. 4, pp. 928–943, October 2018.

[43] Y. Kim, M. Kang, L. R. Varshney, and N. R. Shanbhag, “Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs,” *IEEE Transactions on Communications*, vol. 66, no. 10, pp. 4826–4841, October 2018.

[42] M. Kazama, M. Sugimoto, C. Hosokawa, K. Matsushima, L. R. Varshney, and Y. Ishikawa, “A Neural Network System for Transformation of Regional Cuisine Style,” *Frontiers in ICT*, vol. 5, no. 14, July 2018.

[41] A. Vempaty, L. R. Varshney, G. J. Koop, A. H. Criss, and P. K. Varshney, “Experiments and Models for Decision Fusion by Humans in Inference Networks,” *IEEE Transactions on Signal Processing*, vol. 66, no. 11, pp. 2960–2971, June 2018.

[40] A. Chatterjee, M. Borokhovich, L. R. Varshney, and S. Vishwanath, “Efficient and Flexible Crowdsourcing of Specialized Tasks with Precedence Constraints,” *IEEE/ACM Transactions on Networking*, vol. 26, no. 2, pp. 879–892, April 2018.

[39] A. J. Gross, D. Murthy, and L. R. Varshney, “Pace of Life in Cities and the Emergence of Town Tweeters,” *SAGE Open*, vol. 7, no. 4, October-December 2017.

[38] A. Chatterjee, L. R. Varshney, and S. Vishwanath, “Work Capacity of Regulated Freelance Platforms: Fundamental Limits and Decentralized Schemes,” *IEEE/ACM Transactions on Networking*, vol. 25, no. 6, pp. 3641–3654, December 2017.

[37] I. Lobel, E. Sadler, and L. R. Varshney, “Customer Referral Incentives and Social Media,” *Management Science*, vol. 63, no. 10, pp. 3514–3529, October 2017.

[36] A. Sharma, K. Jagannathan, and L. R. Varshney, “Queuing Approaches to Principal-Agent Communication under Information Overload,” *IEEE Transactions on Information Theory*, vol. 63, no. 9, pp. 6041–6058, September 2017.

[35] N. Kshetry and L. R. Varshney, “Foodsheds in Virtual Water Flow Networks: A Spectral Graph Theory Approach,” *Frontiers in ICT*, vol. 4, no. 17, June 2017.

[34] A. Chatterjee, D. Seo, and L. R. Varshney, “Capacity of Systems with Queue-Length Dependent Service Quality,” *IEEE Transactions on Information Theory*, vol. 63, no. 6, pp. 3950–3963, June 2017.

[33] F. Ji, W. P. Tay, and L. R. Varshney, “An Algorithmic Framework for Estimating Rumor Sources with Different Start Times,” *IEEE Transactions on Signal Processing*, vol. 65, no. 10, pp. 2517–2530, May 2017.

[32] L. Chang, A. Chatterjee, and L. R. Varshney, “Performance of LDPC Decoders with Missing Connections,” *IEEE Transactions on Communications*, vol. 65, no. 2, pp. 511–524, February 2017.

[31] Q. Li, A. Vempaty, L. R. Varshney, and P. K. Varshney, “Multi-object Classification via Crowdsourcing with a Reject Option,” *IEEE Transactions on Signal Processing*, vol. 65, no. 4, pp. 1068–1081, February 2017.

[30] L. R. Varshney and K. R. Varshney, “Decision Making with Quantized Priors Leads to Discrimination,” *Proceedings of the IEEE*, vol. 105, no. 2, pp. 241–255, February 2017.

[29] L. R. Varshney, J. Kusuma, and V. K. Goyal, “On Palimpsests in Neural Memory: An Information Theory Viewpoint,” *IEEE Transactions on Molecular, Biological, and Multi-Scale Communications*, vol. 2, no. 2, pp. 143–153, December 2016.

[28] L. R. Varshney, J. Kusuma, and V. K. Goyal, “Malleable Coding for Updatable Cloud Caching,” *IEEE Transactions on Communications*, vol. 64, no. 12, pp. 4946–4955, December 2016.

[27] L. R. Varshney, J. Wang, and K. R. Varshney, “Associative Algorithms for Computational Creativity,” *Journal of Creative Behavior*, vol. 50, no. 3, pp. 211–223, September 2016.

[26] A. Tandon, M. Motani, and L. R. Varshney, “Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer,” *IEEE Transactions on Information Theory*, vol. 62, no. 7, pp. 4212–4227, July 2016.

[25] L. R. Varshney, “Fundamental Limits of Data Analytics in Sociotechnical Systems,” *Frontiers in ICT*, vol. 3, no. 2, February 2016. (*Inaugural Article*)

[24] K. R. Varshney and L. R. Varshney, “Olfactory Signal Processing,” *Digital Signal Processing*, vol. 48, pp. 84–92, January 2016.

[23] M. Hasegawa-Johnson, J. Cole, P. Jyothi, and L. R. Varshney, “Models of Dataset Size, Question Design, and Cross-Language Speech Perception for Speech Crowdsourcing Applications,” *Laboratory Phonology*, vol. 6, no. 3-4, pp. 381–431, October 2015.

[22] B. He, A. Wein, L. R. Varshney, J. Kusuma, A. G. Richardson, and L. Srinivasan, “Generalized Analog Thresholding for Spike Acquisition at Ultra-Low Sampling Rates,” *Journal of Neurophysiology*, vol. 114, no. 1, pp. 746–760, July 2015.

[21] A. Vempaty and L. R. Varshney, “The Non-Regular CEO Problem,” *IEEE Transactions on Information Theory*, vol. 61, no. 5, pp. 2764–2775, May 2015.

[20] K. R. Varshney and L. R. Varshney, “Optimal Grouping for Group Minimax Hypothesis Testing,” *IEEE Transactions on Information Theory*, vol. 60, no. 10, pp. 6511–6521, October 2014.

[19] H. Chen, L. R. Varshney, and P. K. Varshney, “Noise-Enhanced Information Systems,” *Proceedings of the IEEE*, vol. 102, no. 10, pp. 1607–1621, October 2014.

[18] A. Karbasi, A. H. Salavati, A. Shokrollahi, and L. R. Varshney, “Noise Facilitation in Associative Memories of Exponential Capacity,” *Neural Computation*, vol. 26, no. 11, pp. 2493–2526, November 2014.

[17] A. Vempaty, L. R. Varshney, and P. K. Varshney, “Reliable Crowdsourcing for Multi-Class Labeling using Coding Theory,” *IEEE Journal of Selected Topics in Signal Processing*, vol. 8, no. 4, pp. 667–679, August 2014.

[16] S. U. Appel, D. Botti, J. Jamison, L. Plant, J. Y. Shyr, and L. R. Varshney, “Predictive Analytics can Facilitate Proactive Property Vacancy Policies for Cities,” *Technological Forecasting and Social Change*, vol. 89, pp. 161–173, November 2014.

[15] L. R. Varshney, “The Wiring Economy Principle for Designing Inference Networks,” *IEEE Journal on Selected Areas in Communications*, vol. 31, no. 6, pp. 1095–1104, June 2013.

[14] L. R. Varshney and J. Z. Sun, “Why Do We Perceive Logarithmically?,” *Significance*, vol. 10, no. 1, pp. 28–31, February 2013.

[13] J. Z. Sun, G. I. Wang, V. K. Goyal, and L. R. Varshney, “A Framework for Bayesian Optimality of Psychophysical Laws,” *Journal of Mathematical Psychology*, vol. 56, no. 6, pp. 495–501, December 2012.

[12] L. R. Varshney, S. K. Mitter, and V. K. Goyal, “An Information-Theoretic Characterization of Channels That Die,” *IEEE Transactions on Information Theory*, vol. 58, no. 9, pp. 5711–5724, September 2012.

[11] J. B. Rhim, L. R. Varshney, and V. K. Goyal, “Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing,” *IEEE Transactions on Signal Processing*, vol. 60, no. 9, pp. 4537–4550, September 2012.

[10] L. R. Varshney, “The Google Effect in Doctoral Theses,” *Scientometrics*, vol. 92, no. 3, pp. 785–793, September 2012.

[9] L. R. Varshney and S. K. Mitter, “Sensitivity of Quadratic Gaussian Matching to Interference,” *IEEE Communications Letters*, vol. 15, no. 9, pp. 922–924, September 2011.

[8] V. Misra, V. K. Goyal, and L. R. Varshney, “Distributed Scalar Quantization for Computing: High-Resolution Analysis and Extensions,” *IEEE Transactions on Information Theory*, vol. 57, no. 8, pp. 5298–5325, August 2011.

[7] H. Q. Nguyen, V. K. Goyal, and L. R. Varshney, “Frame Permutation Quantization,” *Applied and Computational Harmonic Analysis*, vol. 31, no. 1, pp. 74–97, July 2011.

[6] L. R. Varshney “Performance of LDPC Codes Under Faulty Iterative Decoding,” *IEEE Transactions on Information Theory*, vol. 57, no. 7, pp. 4427–4444, July 2011.

[5] L. R. Varshney, B. L. Chen, E. Paniagua, D. H. Hall, and D. B. Chklovskii, “Structural Properties of the *Caenorhabditis elegans* Neuronal Network,” *PLoS Computational Biology*, vol. 7, no. 2, e1001066, February 2011.

[4] H. Q. Nguyen, L. R. Varshney, and V. K. Goyal, “Concentric Permutation Source Codes,” *IEEE Transactions on Communications*, vol. 58, no. 11, pp. 3154–3164, November 2010.

[3] K. R. Varshney and L. R. Varshney, “Quantization of Prior Probabilities for Hypothesis Testing,” *IEEE Transactions on Signal Processing*, vol. 56, no. 10, pp. 4553–4562, October 2008.

[2] L. R. Varshney, “Local Fidelity, Constrained Codes, and the Meru Prastara,” *IEEE Potentials*, vol. 27, no. 2, pp. 27–32, March/April 2008.

[1] L. R. Varshney, P. J. Sjöström, and D. B. Chklovskii, “Optimal Information Storage in Noisy Synapses under Resource Constraints,” *Neuron*, vol. 52, no. 3, pp. 409–423, November 2006.

### Anthology Contributions

[1] L. R. Varshney and J. Z. Sun, “Why Do We Perceive Logarithmically?,” in *The Best Writing on Mathematics 2014*, M. Pitici (ed.), Princeton University Press, 2014: pp. 64-73.

### Book Reviews

[1] L. R. Varshney, “Mathematizing the World,” *Issues in Science and Technology*, vol. 35, no. 2, pp. 93–95, Winter 2019. [review of J. Soni and R. Goodman, *A Mind at Play: How Claude Shannon Invented the Information Age*, New York, NY: Simon & Schuster, 2017.]

### Book Chapters (excluding conference proceedings)

[9] A. Chatterjee and L. R. Varshney, “Optimal Energy Allocation in Reliable Neural Sensory Processing,” in *Encyclopedia of Computational Neuroscience,* D. Jaeger and R. Jung (eds.), Springer, 2020, to appear.

[8] R. K. Raman and L. R. Varshney, “Universal Clustering” in *Information-Theoretic Methods in Data Science,* Y. Eldar and M. Rodrigues (eds.), Cambridge University Press, 2019, to appear.

[7] L. R. Varshney, “Dimensions, Bits, and Wows in Accelerating Materials Discovery,” in *Materials Discovery and Design*, T. Lookman, S. Eidenbenz, F. Alexander, and C. Barnes (eds.), Springer Nature, 2018, pp. 1–14.

[6] G. V. Ranade and L. R. Varshney, “The Role of Information Patterns in Designing Crowdsourcing Contests,” in *Creating and Capturing Value Through Crowdsourcing*, C. Tucci, A. Afuah, and G. Viscusi (eds.), Oxford University Press, 2018, pp. 154–177.

[5] R. Vaculin, Y.-M. Chee, D. V. Oppenheim, and L. R. Varshney, “A Service-Oriented Algebra for Optimizing the Management of Service Requests,” in *Maximizing Management Performance and Quality with Service Analytics*, Y. Diao and D. Rosu (eds.), IGI Global, 2015, pp. 347–375.

[4] F. Pinel, L. R. Varshney, and D. Bhattacharjya, “A Culinary Computational Creativity System,” in *Computational Creativity Research: Towards Creative Machines*, T. R. Besold, M. Schorlemmer, and A. Smaill (eds.), Springer, 2015: pp. 327–346.

[3] D. V. Oppenheim, L. R. Varshney, and Y.-M. Chee, “Work as a Service,” in *Advanced Web Services*, A. Bouguettaya, Q. Z. Sheng, and F. Daniel (eds.), Springer, 2014: pp. 409–430.

[2] J. B. Rhim, L. R. Varshney, and V. K. Goyal, “Distributed Decision Making by Categorically-Thinking Agents,” in *Decision Making and Imperfection*, T. V. Guy, M. Karny, and D. H. Wolpert (eds.), Springer, 2013: pp. 37–63.

[1] L. R. Varshney and S. D. Servetto, “A Distributed Transmitter for the Sensor Reachback Problem Based on Radar Signals,” in *Advances in Pervasive Computing and Networking*, B. K. Szymanski and B. Yener (eds.), Boston: Kluwer Academic Publishers, 2005: pp. 37–63.

### Conference Papers

[132] H. H. Lee, K. Shu, P. Achananuparp, P. K. Prasetyo, Y. Liu, L. R. Varshney and E.-P. Lim, “RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System,” to appear in *Proceedings of the Web Conference (WWW)*, Taipei, Taiwan, 20-24 April 2020.

[131] S. Basu, D. Seo, and L. R. Varshney, “Functional Epsilon Entropy,” to appear in *Proceedings of the IEEE Data Compression Conference*, Snowbird, Utah, 24-27 March 2020.

[130] H. Zhou, L. Wang, L. R. Varshney, and E.-P. Lim, “A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits,” in *Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)*, New York, New York, 7-12 February 2020.

[129] L. R. Varshney, N. S. Keskar, and R. Socher, “Limits of Detecting Text Generated by Large-Scale Language Models,” in *Proceedings of the 2020 Information Theory and its Applications Workshop (ITA)*, San Diego, California, 2-7 February 2020.

[128] H. Lee, P. Achananuparp, Y. Liu, E.-P. Lim and L. R. Varshney, “Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning,” in *Proceedings of the 9th International Digital Public Health Conference (DPH 2019)*, Marseille, France, 20-23 November 2019.

[127] A. Tandon, V. Y. F. Tan, and L. R. Varshney, “Random Coding Error Exponent for the Bee-Identification Problem,” in *Proceedings of the 2019 IEEE Information Theory Workshop (ITW)*, Visby, Sweden, 25-28 August 2019.

[126] T.-Y. Wu, A. Tandon, M. Motani, and L. R. Varshney, “On the Outage-Constrained Capacity of Skip-Sliding Window Codes,” in *Proceedings of the 2019 IEEE Information Theory Workshop (ITW)*, Visby, Sweden, 25-28 August 2019.

[125] D. Seo and L. R. Varshney, “The CEO Problem with *r*th Power of Difference Distortion,” in *Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT)*, Paris, France, 7-12 July 2019.

[124] D. Seo and L. R. Varshney, “Information and Energy Transmission with Experimentally-Sampled Harvesting Functions,” in *Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT)*, Paris, France, 7-12 July 2019.

[123] E. Dupraz and L. R. Varshney, “Binary Recursive Estimation on Noisy Hardware,” in *Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT)*, Paris, France, 7-12 July 2019.

[122] T.-Y. Wu, A. Tandon, L. R. Varshney, and M. Motani, “Multicasting Energy and Information Simultaneously,” in *Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT)*, Paris, France, 7-12 July 2019.

[121] T. Mamalis, S. Bose, and L. R. Varshney, “Ridesharing Systems with Electric Vehicles,” in *Proceedings of the 2019 American Control Conference (ACC)*, Philadelphia, Pennsylvania, 10-12 July 2019.

[120] S. Basu and L. R. Varshney, “Polar Codes for Simultaneous Information and Energy Transmission,” in *Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications* (SPAWC), Cannes, France, 2-5 July 2019.

[119] S. Agarwal and L. R. Varshney, “Limits of Deepfake Detection: A Robust Estimation Viewpoint,” in *Proceedings of the ICML Workshop on Deep Learning for Detecting AudioVisual Fakes*, Long Beach, California, 15 June 2019.

[118] H. Zhou, A. Jagmohan, and L. R. Varshney, “Generalized Jordan Center: A Source Localization Heuristic for Noisy and Incomplete Observations,” in *Proceedings of the IEEE Data Science Workshop (DSW)*, Minneapolis, Minnesota, 2-5 June 2019.

[117] R. Chen and L. R. Varshney, “Non-negative Matrix Factorization of Clustered Data with Missing Values,” in *Proceedings of the IEEE Data Science Workshop (DSW)*, Minneapolis, Minnesota, 2-5 June 2019.

[116] N. Kshetry and L. R. Varshney, “Safety in the Face of Unknown Unknowns: Algorithm Fusion in Data-Driven Engineering Systems,” in *Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)*, Brighton, England, 12-17 May 2019.

[115] I. Chien, H. Zhou, and P. Li, “HS^{2}: Active Learning over Hypergraphs,” in *Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019)*, Okinawa, Japan, 16-18 April 2019.

[114] X. Ge, R. T. Goodwin, J. R. Gregory, R. E. Kirchain, J. Maria, and L. R. Varshney,” Accelerated Discovery of Sustainable Building Materials,” in *Proceedings of the AAAI Spring Symposium on Towards AI for Collaborative Open Science*, Palo Alto, California, 25-27 March 2019.

[113] L. R. Varshney, “Towards Information-Theoretic Limits of the Global Neuronal Workspace Architecture,” in *Proceedings of the AAAI Spring Symposium on Towards Conscious AI Systems*, Palo Alto, California, 25-27 March 2019.

[112] R. Chen, A. B. Das, and L. R. Varshney, “Registration for Image-Based Transcriptomics: Parametric Signal Features and Multivariate Information Measures,” in *Proceedings of the 53rd Annual Conference on Information Sciences and Systems (CISS)*, Baltimore, Maryland, 20-22 March 2019.

[111] T. Mamalis, S. Bose, and L. R. Varshney, “Business-to-Peer Carsharing Systems with Electric Vehicles,” in *Proceedings of the 53rd Annual Conference on Information Sciences and Systems (CISS)*, Baltimore, Maryland, 20-22 March 2019.

[110] H. Yu, I. Mineyev, and L. R. Varshney, “To Abstract via Algebraic Innateness: Hierarchical, Interpretable, and Task-Free Clustering,” in *Proceedings of the 2019 Information Theory and its Applications Workshop (ITA)*, San Diego, California, 10-15 February 2019.

[109] S. Basu and L. R. Varshney, “Succinct Source Coding of Deep Neural Networks,” in *Proceedings of NeurIPS Compact Deep Neural Network Representation with Industrial Applications Workshop (CDNNRIA)*, Montreal, Canada, 7 December 2018.

[108] S. E. Brown, X. Ge, P. Rana, L. R. Varshney, and D. C. Miller, “Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India,” in *Proceedings of the Data for Good Exchange (D4GX)*, New York, New York, 16 September 2018.

[107] X. Ge, J. Xiong, and L. R. Varshney, “Computational Creativity for Valid Rube Goldberg Machines,” in *Proceedings of the Ninth International Conference on Computational Creativity (ICCC)*, Salamanca, Spain, 25-29 June 2018.

[106] D. Bhattacharjya, D. Subramanian, and L. R. Varshney, “Generalization across Contexts in Unsupervised Computational Creativity,” in *Proceedings of the Ninth International Conference on Computational Creativity (ICCC)*, Salamanca, Spain, 25-29 June 2018.

[105] R. K. Raman and L. R. Varshney, “Dynamic Distributed Storage for Blockchains,” in *Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT)*, Vail, Colorado, 17-22 June 2018.

[104] D. Seo, A. Chatterjee, and L. R. Varshney, “On Multiuser Systems with Queue-Length Dependent Service Quality,” in *Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT)*, Vail, Colorado, 17-22 June 2018.

[103] Y. Kim, M. Kang, L. R. Varshney, and N. R. Shanbhag, “SRAM Bit-line Swings Optimization using Generalized Waterfilling,” in *Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT)*, Vail, Colorado, 17-22 June 2018.

[102] T.-Y. Wu, A. Tandon, L. R. Varshney, and M. Motani, “Skip Sliding Window Codes,” in *Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT)*, Vail, Colorado, 17-22 June 2018.

[101] R. K. Raman and S. Pattabiraman, “Selfish Learning: Leveraging the Greed in Social Learning,” in *Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)*, Calgary, Canada, 15-20 April 2018.

[100] D. Seo, R. K. Raman, and L. R. Varshney, “Probability Reweighting in Social Learning: Optimality and Suboptimality,” in *Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)*, Calgary, Canada, 15-20 April 2018.

[99] T.-Y. Wu, X. Ge, and L. R. Varshney, “Surprising Sequences for Communication and Conversation,” in *Proceedings of the 52nd Annual Conference on Information Sciences and Systems (CISS)*, Princeton, New Jersey, 21-23 March 2018. (*LRV Invited*)

[98] R. K. Raman and L. R. Varshney, “Distributed Storage Meets Secret Sharing on the Blockchain,” in *Proceedings of the 2018 Information Theory and its Applications Workshop (ITA), *San Diego, California, 11-16 February 2018. (*LRV Invited*)

[97] D. Somaya and L. R. Varshney, “Embodiment, Anthropomorphism, and Intellectual Property Rights for AI Creations,” in *Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, *New Orleans, Louisiana, 2-3 February 2018.

[96] H. Yu, T. Li, and L. R. Varshney, “Probabilistic Rule Realization and Selection,” in *Proceedings of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS)*, Long Beach, California, 4-9 December 2017.

[95] D. G. Dobakhshari, L. R. Varshney, and V. Gupta, “A Game-Theoretic Approach to a Task Delegation Problem,” in *Conference Record of the Fifty-First Asilomar Conference on Signals, Systems and Computers*, Pacific Grove, California, 29 October – 1 November 2017.

[94] B. S. Newell and L. R. Varshney, “The First Cohort in a New Innovation, Leadership, and Engineering Entrepreneurship B. S. Degree Program,” in *Proceedings of the 2017 IEEE Frontiers in Education Conference (FIE)*, Indianapolis, Indiana, 18-21 October 2017.

[93] T.-Y. Wu, L. R. Varshney, and V. Y. F. Tan, “Communication over a Channel that Wears Out,” in *Proceedings of the IEEE International Symposium on Information Theory (ISIT)*, Aachen, Germany, 25-30 June 2017.

[92] A. Chatterjee and L. R. Varshney, “Towards Optimal Quantization of Neural Networks,” in *Proceedings of the IEEE International Symposium on Information Theory (ISIT)*, Aachen, Germany, 25-30 June 2017.

[91] R. K. Raman and L. R. Varshney, “Universal Joint Image Clustering and Registration using Partition Information,” in *Proceedings of the IEEE International Symposium on Information Theory (ISIT)*, Aachen, Germany, 25-30 June 2017.

[90] R. K. Raman and L. R. Varshney, “Budget-Optimal Clustering via Crowdsourcing,” in *Proceedings of the IEEE International Symposium on Information Theory (ISIT)*, Aachen, Germany, 25-30 June 2017.

[89] A. Chaaban, L. R. Varshney, and M.-S. Alouini, “The Capacity of Injective Semi-Deterministic Two-Way Channels,” in *Proceedings of the IEEE International Symposium on Information Theory (ISIT)*, Aachen, Germany, 25-30 June 2017.

[88] M. Amencherla and L. R. Varshney, “Color-Based Visual Sentiment for Social Communication,” in *Proceedings of the 15th Canadian Workshop on Information Theory*, Quebec City, Canada, 11-14 June 2017.

[87] H. Yu and L. R. Varshney, “Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music,” in *Proceedings of the 5th International Conference on Learning Representations (ICLR)*, Toulon, France, 24-26 April 2017.

[86] S. Basu and L. R. Varshney, “Universal Source Coding of Deep Neural Networks,” in *Proceedings of the IEEE Data Compression Conference*, Snowbird, Utah, 4-7 April 2017.

[85] A. Chatterjee and L. R. Varshney, “Energy-Reliability Limits in Nanoscale Neural Networks,” in *Proceedings of the Conference on Information Sciences and Systems (CISS)*, Baltimore, Maryland, 22-24 March 2017.

[84] R. K. Raman, H. Yu, and L. R. Varshney, “Illum Information,” in *Proceedings of the 2017 Information Theory and its Applications Workshop (ITA)*, San Diego, California, 12-17 February 2017. (*LRV Invited*)

[83] W. Chen, M. Hasegawa-Johnson, N. F. Chen, P. Jyothi, and L. R. Varshney, “Mismatched Crowdsourcing with Clustering-Based Phonetic Projection for Low-Resourced ASR,” in *Proceedings of the 26th International Conference on Computational Linguistics Workshops (COLING 2016)*, Osaka, Japan, 11 December 2016.

[82] J. Feng, W. P. Tay, and L. R. Varshney, “Estimating the Number of Infection Sources in a Tree,” in *Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)*, Washington, D.C., 7-9 December 2016.

[81] M. A. Donmez, M. Raginsky, A. C. Singer, and L. R. Varshney, “Cost-Performance Tradeoffs in Unreliable Computation Architectures,” in *Conference Record of the Fiftieth Asilomar Conference on Signals, Systems and Computers*, Pacific Grove, California, 6-9 November 2016.

[80] A. Chatterjee, D. Seo, and L. R. Varshney, “Capacity of Systems with Queue-Length Dependent Service Quality,” in *Proceedings of the International Symposium on Information Theory and Its Applications (ISITA)*, Monterey, California, 30 October – 2 November 2016.

[79] D. Seo and L. R. Varshney, “Information-Theoretic Limits of Algorithmic Noise Tolerance,” in *Proceedings of the IEEE International Conference on Rebooting Computing (ICRC 2016)*, San Diego, California, 17-19 October 2016.

[78] L. Chang, A. Chatterjee, and L. R. Varshney, “LDPC Decoders with Missing Connections,” in *Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT)*, Barcelona, Spain, 10-15 July 2016.

[77] A. Tandon, M. Motani, and L. R. Varshney, “Subblock Energy-Constrained Codes for Simultaneous Energy and Information Transfer,” in *Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT)*, Barcelona, Spain, 10-15 July 2016.

[76] H. Yu, L. R. Varshney, G. E. Garnett, and R. Kumar, “MUS-ROVER: A Self-Learning System for Musical Compositional Rules,” in *Proceedings of the 4th International Workshop on Musical Metacreation (MUME 2016)*, Paris, France, 27 June 2016.

[75] H. Yu, L. R. Varshney, G. E. Garnett, and R. Kumar, “Learning Interpretable Musical Compositional Rules and Traces,” in *2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016)*, New York, New York, 23 June 2016.

[74] C.-S. Yang and L. R. Varshney, “Self-Sustainable OFDM Transmissions with Smooth Energy Delivery,” in *Proceedings of the 5th International Symposium on Next-Generation Electronics (ISNE 2016)*, Hsinchu, Taiwan, 3-6 May 2016.

[73] A. Chatterjee, M. Borokhovich, L. R. Varshney, and S. Vishwanath, “Efficient and Flexible Crowdsourcing of Specialized Tasks with Precedence Constraints,” in *Proceedings of the 2016 IEEE Conference on Computer Communications (INFOCOM)*, San Francisco, California, 10-15 April 2016.

[72] L. R. Varshney, “Bottleneck Capacity of Random Graphs for Connectomics,” in *Proceedings of the 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)*, Shanghai, China, 20-25 March 2016.

[71] Song Jianhan, V. W. I. Phua, and L. R. Varshney, “Distributed Estimation via Paid Crowd Work,” in *Proceedings of the 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)*, Shanghai, China, 20-25 March 2016.

[70] L. R. Varshney and K. R. Varshney, “Fidelity Loss in Distribution-Preserving Anonymization and Histogram Equalization,” in *Proceedings of the 50th Annual Conference on Information Sciences and Systems (CISS)*, Princeton, New Jersey, 16-18 March 2016.

[69] A. Chatterjee and L. R. Varshney, “Energy-Reliability Limits in Nanoscale Circuits,” in *Proceedings of the 2016 Information Theory and its Applications Workshop (ITA)*, San Diego, California, 31 January – 5 February 2016. (*AC Invited*)

[68] L. R. Varshney, P. Jyothi, and M. Hasegawa-Johnson, “Language Coverage for Mismatched Crowdsourcing,” in *Proceedings of the 2016 Information Theory and its Applications Workshop (ITA)*, San Diego, California, 31 January – 5 February 2016. (*PJ Invited*)

[67] H. Bai, R. Chunara, and L. R. Varshney, “Social Capital Deserts: Obesity Surveillance using a Location-Based Social Network,” in *Proceedings of the Data for Good Exchange (D4GX)*, New York, New York, 28 September 2015. (*NYC Media Lab – Bloomberg Data for Good Exchange Paper Award*)

[66] M. Borokhovich, A. Chatterjee, J. Rogers, L. R. Varshney, and S. Vishwanath, “Improving Impact Sourcing via Efficient Global Service Delivery,” in *Proceedings of the Data for Good Exchange (D4GX)*, New York, New York, 28 September 2015.

[65] A. Vempaty, L. R. Varshney, G. J. Koop, A. H. Criss, and P. K. Varshney, “Decision Fusion by People: Experiments, Models, and Sociotechnical System Design,” in *Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)*, Orlando, Florida, 14-16 December 2015.

[64] L. R. Varshney, “Toward Limits of Constructing Reliable Memories from Unreliable Components,” in *Proceedings of the IEEE Information Theory Workshop (ITW)*, Jeju Island, Korea, 11-15 October 2015.

[63] M. Karzand and L. R. Varshney, “Communication Strategies for Low Latency Trading,” in *Proceedings of the 2015 IEEE International Symposium on Information Theory (ISIT)*, Hong Kong, 14-19 June 2015.

[62] A. Tandon, M. Motani, and L. R. Varshney, “Real-time Simultaneous Energy and Information Transfer,” in *Proceedings of the 2015 IEEE International Symposium on Information Theory (ISIT)*, Hong Kong, 14-19 June 2015.

[61] A. Vempaty and L. R. Varshney, “CEO Problem for Belief Sharing,” in *Proceedings of the IEEE Information Theory Workshop (ITW)*, Jerusalem, 26 April – 1 May, 2015.

[60] A. Chatterjee, L. R. Varshney, and S. Vishwanath, “Work Capacity of Freelance Markets: Fundamental Limits and Decentralized Schemes,” in *Proceedings of the 2015 IEEE Conference on Computer Communications (INFOCOM)*, Hong Kong, 26 April – 1 May, 2015.

[59] A. Tandon, M. Motani, and L. R. Varshney, “On the Capacity and Applications of Codes with Certain Subblock Constraints,” in *Proceedings of the 2015 Information Theory and its Applications Workshop (ITA)*, San Diego, California, 1-6 February 2015. (*MM Invited*)

[58] A. Tandon, M. Motani, and L. R. Varshney, “Constant Subblock Composition Codes for Simultaneous Energy and Information Transfer,” in *Proceedings of the IEEE SECON 2014 Workshop on Energy Harvesting Communications*, Singapore, 30 June 2014.

[57] K. R. Varshney and L. R. Varshney, “Active Odor Cancellation,” in *Proceedings of the 2014 IEEE Statistical Signal Processing Workshop (SSP)*, Jupiters, Gold Coast, Australia, 29 June – 2 July 2014.

[56] K. R. Varshney and L. R. Varshney, “Food Steganography with Olfactory White,” in *Proceedings of the 2014 IEEE Statistical Signal Processing Workshop (SSP)*, Jupiters, Gold Coast, Australia, 29 June – 2 July 2014.

[55] A. Sharma, K. Jagannathan, and L. R. Varshney, “Information Overload and Human Priority Queuing,” in *Proceedings of the 2014 IEEE International Symposium on Information Theory (ISIT)*, Honolulu, Hawaii, 29 June – 4 July 2014.

[54] A. Jagmohan, Y. Li, N. Shao, A. Sheopuri, D. Wang, L. R. Varshney, and P. Huang, “Exploring Application Domains for Computational Creativity,” in *Proceedings of the 5th International Conference on Computational Creativity (ICCC)*, Ljublijana, Slovenia, 10-13 June 2014.

[53] L. R. Varshney, “Engineering for Problems of Excess,” in *Proceedings of the 2014 IEEE International Symposium on Ethics in Engineering, Science, and Technology*, Chicago, Illinois, 23-24 May 2014.

[52] F. Pinel and L. R. Varshney, “Computational Creativity for Culinary Recipes,” in *Proceedings of the ACM CHI Conference on Human Factors in Computing Systems*, Toronto, Canada, 26 April – 1 May 2014.

[51] L. R. Varshney and K. C. Ratakonda, “An Information-Theoretic View of Cloud Workloads,” in *Proceedings of the IEEE International Conference on Cloud Engineering (IC2E 2014)*, Boston, Massachusetts, 10-14 March 2014.

[50] A. Tandon, M. Motani, and L. R. Varshney, “On Code Design for Simultaneous Energy and Information Transfer,” in *Proceedings of the 2014 Information Theory and its Applications Workshop (ITA)*, San Diego, 9-14 February 2014. (*MM Invited*)

[49] L. R. Varshney, A. Vempaty, and P. K. Varshney, “Assuring Privacy and Reliability in Crowdsourcing with Coding,” in *Proceedings of the 2014 Information Theory and its Applications Workshop (ITA)*, San Diego, 9-14 February 2014. (*LRV Invited*)

[48] A. Vempaty, Y. S. Han, L. R. Varshney, and P. K. Varshney, “Coding Theory for Reliable Signal Processing,” in *Proceedings of the 2014 IEEE International Conference on Computing, Networking, and Communications (ICNC)*, Honolulu, Hawaii, 3-6 February 2014. (*YSH Invited*)

[47] A. Karbasi, A. H. Salavati, A. Shokrollahi, and L. R. Varshney, “Noise-Enhanced Associative Memories,” in *Proceedings of the Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS)*, Lake Tahoe, Nevada, 5-8 December 2013. (*Spotlight*, *2013 Best Student Paper Award of the IEEE Data Storage Technical Committee*)

[46] K. R. Varshney, L. R. Varshney, J. Wang, and D. Meyers, “Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data,” in *Proceedings of the International Joint Conference on Artificial Intelligence Workshops*, Beijing, China, 3 August 2013.

[45] L. R. Varshney, F. Pinel, K. R. Varshney, A. Schörgendorfer, and Y.-M. Chee, “Cognition as a Part of Computational Creativity,” in *Proceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC)*, New York, New York, 16-18 July 2013.

[44] L. R. Varshney, “To Surprise and Inform,” in *Proceedings of the 2013 IEEE International Symposium on Information Theory (ISIT)*, Istanbul, Turkey, 7-12 July 2013.

[43] L. R. Varshney, “Two Way Communication over Exponential Family Type Channels,” in *Proceedings of the 2013 IEEE International Symposium on Information Theory (ISIT)*, Istanbul, Turkey, 7-12 July 2013.

[42] A. Vempaty, L. R. Varshney, and P. K. Varshney, “Reliable Classification by Unreliable Crowds,” in *Proceedings of the 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)*, Vancouver, Canada, 26-31 May 2013.

[41] A. Mani, L. R. Varshney, and A. Pentland, “Quantization Games on Networks,” in *Proceedings of the IEEE Data Compression Conference (DCC)*, Snowbird, Utah, 20-22 March 2013.

[40] S. Mehta, R. Pimplikar, A. Singh, L. R. Varshney, and K. Visweswariah, “Efficient Multifaceted Screening of Job Applicants,” in *Proceedings of the 16th International Conference on Extending Database Technology (EDBT)*, Genoa, Italy, 18-22 March 2013.

[39] L. R. Varshney, “Participation in Crowd Systems,” in *Proceedings of the Fiftieth Annual Allerton Conference on Communication, Control, and Computing*, Monticello, Illinois, 1-5 October 2012. (*LRV Invited*)

[38] L. R. Varshney, “Privacy and Reliability in Crowdsourcing Service Delivery,” in *Proceedings of the 2012 SRII Global Conference*, San Jose, California, 24-27 July 2012. (*Best Cross-Enterprise Collaboration Paper Award*)

[37] R. Vaculin, Y.-M. Chee, D. V. Oppenheim, and L. R. Varshney, “Work as a Service Meta-model and Protocol for Adjustable Visibility, Coordination, and Control,” in *Proceedings of the 2012 SRII Global Conference*, San Jose, California, 24-27 July 2012.

[36] L. Limonad, L. R. Varshney, D. V. Oppenheim, E. Fein, P. Soffer, Y. Wand, M. Gavish, and A. Anaby-Tavor, “The WaaSABE Model: Marrying WaaS and Business-Entities to Support Cross-Enterprise Collaboration,” in *Proceedings of the 2012 SRII Global Conference*, San Jose, California, 24-27 July 2012.

[35] D. V. Oppenheim, Y.-M. Chee, and L. R. Varshney, “Allegro: A Metrics Framework for Globally Distributed Service Delivery,” in *Proceedings of the 2012 SRII Global Conference*, San Jose, California, 24-27 July 2012.

[34] G. V. Ranade and L. R. Varshney, “To Crowdsource or not to Crowdsource?,” in *Proceedings of the 4th Human Computation Workshop (HCOMP)*, Toronto, Canada, 23 July 2012.

[33] L. R. Varshney, “On Energy/Information Cross-Layer Architectures,” in *Proceedings of the 2012 IEEE International Symposium on Information Theory (ISIT)*, Cambridge, Massachusetts, 1-6 July 2012.

[32] J. B. Rhim, L. R. Varshney, and V. K. Goyal, “Benefits of Collaboration and Diversity in Teams of Categorically-Thinking Decision Makers,” in *Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)*, Hoboken, New Jersey, 17-20 June 2012. (*1st Place in Student Paper Contest*)

[31] L. R. Varshney, “Toward a Comparative Cognitive History: Archimedes and D. H. J. Polymath,” in *Proceedings of Collective Intelligence 2012*, Cambridge, Massachusetts, 18-20 March 2012.

[30] L. R. Varshney, P. Grover, and A. Sahai, “Securing Inductively Coupled Communication,” in *Proceedings of the 2012 Information Theory and its Applications Workshop (ITA)*, San Diego, California, 5-10 February 2012. (*LRV Invited*)

[29] J. B. Rhim, L. R. Varshney, and V. K. Goyal, “Distributed Decision Making by Categorically-Thinking Agents,” in *Proceedings of the NIPS 2011 Workshop on Decision Making with Multiple Imperfect Decision Makers*, Sierra Nevada, Spain, 16 December 2011.

[28] A. K. Fletcher, S. Rangan, L. R. Varshney, and A. Bhargava, “Neural Reconstruction with Approximate Message Passing (NeuRAMP),” in *Proceedings of the Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS)*, Granada, Spain, 13-15 December 2011.

[27] D. V. Oppenheim, L. R. Varshney, and Y.-M. Chee, “Work as a Service,” in *Proceedings of the Ninth International Conference on Service Oriented Computing (ICSOC)*, Paphos, Cyprus, 5-8 December 2011.

[26] L. R. Varshney and D. Shah, “Informational Limits of Neural Circuits,” in *Proceedings of the Forty-Ninth Annual Allerton Conference on Communication, Control, and Computing*, Monticello, Illinois, 28-30 September 2011.

[25] L. R. Varshney and D. V. Oppenheim, “On Cross-Enterprise Collaboration,” in *Proceedings of the 9th International Conference on Business Process Management (BPM)*, Clermont-Ferrand, France, 28 August – 2 September 2011. (*Invited*)

[24] J. Kusuma, L. R. Varshney, and V. K. Goyal, “Malleable Coding with Fixed Segment Reuse,” in *Proceedings of the 2011 IEEE International Symposium on Information Theory (ISIT)*, St. Petersburg, Russia, 31 July – 5 August 2011.

[23] K. R. Varshney and L. R. Varshney, “Multilevel Minimax Hypothesis Testing,” in *Proceedings of the IEEE International Workshop on Statistical Signal Processing (SSP)*, Nice, France, 28-30 June 2011.

[22] L. R. Varshney and D. V. Oppenheim, “Coordinating Global Service Delivery in the Presence of Uncertainty,” in *Proceedings of the 12th International Research Symposium on Service Excellence in Management (QUIS12)*, Ithaca, New York, 2-5 June 2011.

[21] J. B. Rhim, L. R. Varshney, and V. K. Goyal, “Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities,” in *Proceedings of the IEEE Data Compression Conference (DCC)*, Snowbird, Utah, 29-31 March 2011.

[20] J. B. Rhim, L. R. Varshney, and V. K. Goyal, “Conflict in Distributed Hypothesis Testing with Quantized Prior Probabilities,” in *Proceedings of the IEEE Data Compression Conference (DCC)*, Snowbird, Utah, 29-31 March 2011.

[19] L. R. Varshney, J. B. Rhim, K. R. Varshney, and V. K. Goyal, “Categorical Decision Making by People, Committees, and Crowds,” in *Proceedings of the 2011 Information Theory and its Applications Workshop (ITA)*, La Jolla, California, 6-11 February 2011. (*LRV Invited*)

[18] L. R. Varshney and D. V. Oppenheim, “Towards a Stochastic Systems Theory of Coordination,” in *Proceedings of the Workshop on Coordination, Collaboration and Ad-hoc Processes (COCOA)*, Palo Alto, California, 6 December 2010. (*LRV Invited*)

[17] L. Srinivasan, L. R. Varshney, and J. Kusuma, “Acquisition of Action Potentials with Ultra-Low Sampling Rates,” in *Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)*, Buenos Aires, Argentina, 31 August – 4 September 2010.

[16] L. R. Varshney, “Distributed Inference Networks with Costly Wires,” in *Proceedings of the 2010 American Control Conference (ACC)*, Baltimore, Maryland, 30 June – 2 July 2010.

[15] H. Q. Nguyen, V. K. Goyal, and L. R. Varshney, “Frame Permutation Quantization,” in *Proceedings of the Forty-Fourth Annual Conference on Information Sciences and Systems (CISS)*, Princeton, New Jersey, 17-19 March 2010.

[14] L. R. Varshney, S. K. Mitter, and V. K. Goyal, “Channels That Die,” in *Proceedings of the Forty-Seventh Annual Allerton Conference on Communication, Control, and Computing*, Monticello, Illinois, 30 September ? 2 October 2009.

[13] L. R. Varshney, J. Kusuma, and V. K. Goyal, “Malleable Coding with Edit-Distance Cost,” in *Proceedings of the 2009 IEEE International Symposium on Information Theory (ISIT)*, Seoul, Korea, 28 June – 3 July 2009.

[12] H. Q. Nguyen, V. K. Goyal, and L. R. Varshney, “On Concentric Spherical Codes and Permutation Codes With Multiple Initial Codewords,” in *Proceedings of the 2009 IEEE International Symposium on Information Theory (ISIT)*, Seoul, Korea, 28 June – 3 July 2009.

[11] L. R. Varshney, “Transporting Information and Energy Simultaneously,” in *Proceedings of the 2008 IEEE International Symposium on Information Theory (ISIT)*, Toronto, Canada, 6-11 July 2008.

[10] K. R. Varshney and L. R. Varshney, “Minimum Mean Bayes Risk Error Quantization of Prior Probabilities,” in *Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)*, Las Vegas, Nevada, 30 March – 4 April 2008.

[9] V. Misra, V. K. Goyal, and L. R. Varshney, “High-Resolution Functional Quantization,” in *Proceedings of the IEEE Data Compression Conference (DCC)*, Snowbird, Utah, 25-27 March 2008.

[8] V. Misra, V. K. Goyal, and L. R. Varshney, “High-Resolution Distributed Functional Quantization,” in *Proceedings of the 2008 Information Theory and its Applications Workshop (ITA)*, La Jolla, California, 27 January – 1 February 2008. (*VKG Invited*)

[7] L. R. Varshney, “Performance of LDPC Codes Under Noisy Message-Passing Decoding,” in *Proceedings of the 2007 IEEE Information Theory Workshop (ITW)*, Lake Tahoe, California, 2-6 September 2007.

[6] L. R. Varshney and D. B. Chklovskii, “On Optimal Information Storage in Synapses,” in *Proceedings of the 2007 IEEE Information Theory Workshop (ITW)*, Lake Tahoe, California, 2-6 September 2007. (*LRV Invited*)

[5] L. R. Varshney and V. K. Goyal, “On Universal Coding of Unordered Data,” in *Proceedings of the 2007 Information Theory and its Applications Workshop (ITA)*, La Jolla, California, 29 January – 2 February 2007. (*VKG Invited*)

[4] L. R. Varshney and V. K. Goyal, “Toward a Source Coding Theory for Sets,” in *Proceedings of the IEEE Data Compression Conference (DCC)*, Snowbird, Utah, 28-30 March 2006. (*Capocelli Prize*)

[3] L. R. Varshney and V. K. Goyal, “Ordered and Disordered Source Coding,” in *Proceedings of the Information Theory and its Applications Inaugural Workshop (ITA)*, La Jolla, California, 6-10 February 2006. (*VKG Invited*)

[2] L. R. Varshney, “Engineering Theory and Mathematics in the Early Development of Information Theory,” in *Proceedings of the 2004 IEEE Conference on the History of Electronics*, Bletchley Park, England, 28-30 June 2004. (*IEEE Region 1 Student Paper Contest Winner*)

[1] L. R. Varshney and D. Thomas, “Sidelobe Reduction for Matched Filter Range Processing,” in *Proceedings of the 2003 IEEE Radar Conference*, Huntsville, Alabama, 5-8 May 2003. (*Best Student Paper Award*)

### Conference Presentations

[46] H. Yu, L. R. Varshney, and G. Stein-O’Brien, “Towards Learning Human-Interpretable Laws of Neurogenesis from Single-Cell RNA-Seq Data via Information Lattices,” to be presented at *Learning Meaningful Representations of Life Workshop at NeurIPS 2019*, Vancouver, Canada, 13 December 2019.

[45] S. Basu and L. R. Varshney, “Universal and Succinct Source Coding of Deep Neural Networks,” presented at *Stanford Compression Workshop 2019*, Palo Alto, California, 15 February 2019.

[44] T.-Y. Wu, A. Tandon, L. R. Varshney, and M. Motani, “Multicasting Energy and Information Simultaneously,” presented at *2018 IEEE Information Theory Workshop*, Guangzhou, China, 25-29 November 2018.

[43] H. Ito, T. Nishida, L. R. Varshney, and Y. Ishikawa, “Weak Ties in Job Change: Evidence from Business Card Exchange in Japan,” presented at *2018 International Conference on Computational Social Science*, Evanston, Illinois, 13-15 July 2018.

[42] M. Kazama, M. Sugimoto, C. Hosokawa, K. Matsushima, L. R. Varshney, and Y. Ishikawa, “A Novel System for Transformation of Regional Cuisine Style,” presented at *2018 International Conference on Computational Social Science*, Evanston, Illinois, 13-15 July 2018.

[41] H. Ito, T. Nishida, L. R. Varshney, and Y. Ishikawa, “Weak Ties in Job Change: Evidence from Business Card Exchange in Japan,” presented at *NetSci: International School and Conference on Network Science*, Paris, France, 11-15 June 2018.

[40] L. R. Varshney, L. Marla, and D. Shah, “Computing Information-Theoretic Limits on Behavioral Speed in *C. **elegans* and *Ciona** intestinalis* (L.),” presented at *Analysis and Interpretation of Connectomes*, Janelia Research Campus, Ashburn, Virginia, 20-23 May 2018.

[39] N. Kshetry and L. R. Varshney, “Optimal Wastewater Management Using Advanced Analytics,” presented at *2018 Illinois Wastewater Professionals Conference*, Springfield, 16-18 April 2018.

[38] L. R. Varshney and K. R. Varshney, “Decision Making With Quantized Priors Leads to Discrimination,” presented at *Illinois Summit on Diversity in Psychological Science*, Champaign, 26-28 March 2018.

[37] T.-Y. Wu, A. Tandon, L. R. Varshney, and M. Motani, “On Skip Sliding Window Codes,” presented at *2018 Information Theory and its Applications Workshop (ITA), *San Diego, California, 11-16 February 2018.

[36] A. Chatterjee and L. R. Varshney, “Optimal Energy Allocation in Reliable Neural Sensory Processing,” presented at *Inaugural Conference on Cognitive Computational Neuroscience (CCN)*, New York, New York, 6-8 September 2017.

[35] A. Vempaty, L. R. Varshney, and P. K. Varshney, “A Coupon-Collector Model of Machine-Aided Discovery,” presented at *KDD Workshop on Data-Driven Discovery*, Halifax, Canada, 14 August 2017.

[34] X. Ge, J. Xiong, and L. R. Varshney, “CELA: Creating Experiential Learning Activities,” presented at *International Conference on Computational Creativity*, Atlanta, Georgia, 19-23 June 2017.

[33] A. D. Patil, N. R. Shanbhag, L. R. Varshney, E. Pop, H.-S. P. Wong, S. Mitra, J. Rabaey, J. Weldon, L. Pileggi, S. Manipatruni, D. Nikonov, and I. A. Young, “A Systems Approach to Computing in Beyond CMOS Fabrics,” presented at *Design Automation Conference (DAC 2017)*, Austin, Texas, 18-22 June 2017.

[32] A. Sarathy, J.-P. Leburton, and L. R. Varshney, “On Nanopore Sequencing of the Epigenome in the Presence of Noise,” presented at *15th Canadian Workshop on Information Theory*, Quebec City, Canada, 11-14 June 2017.

[31] M. Jere, R. K. Raman, and L. R. Varshney, “The Eurekometric Connectome: Discovering Unexplored Areas of Neuroscience Research,” presented at *NetSci: International School and Conference on Network Science*, Indianapolis, Indiana, 19-23 June 2017.

[30] D. Bhattacharjya and L. R. Varshney, “Multiattribute Preference Models for Computational Creativity,” presented at *INFORMS Annual Meeting*, Nashville, Tennessee, 13-16 November 2016.

[29] A. Chatterjee and L. R. Varshney, “The Role of Information Theory and Queuing Theory in Human Computation Systems,” presented at *HCOMP 2016 Workshop on Mathematical Foundations of Human Computation*, 3 November 2016.

[28] N. Kshetry and L. R. Varshney, “Foodsheds in Virtual Water Flow Networks: A Spectral Graph Theory Approach,” presented at *Food and Data Workshop: Interoperability through the Food Pipeline*, 12-13 September 2016.

[27] L. Chang and L. R. Varshney, “World Culture of Food Texture Networks,” presented at *Food and Data Workshop: Interoperability through the Food Pipeline*, 12-13 September 2016.

[26] A. J. Gross, D. Murthy, and L. R. Varshney, “Pace of Life in Cities and the Emergence of Town Tweeters,” presented at *66th Annual Conference of the International Communication Association (ICA)*, Fukuoka, Japan, 9-13 June 2016.

[25] Z. He and L. R. Varshney, “Inducement Prizes in Data Science: Specialization, Community, and National Performance,” presented at *International Symposium on Science of Science*, Washington, DC, 22-23 March 2016.

[24] A. Tandon, M. Motani, and L. R. Varshney, “Coding for Constrained Communication Systems,” presented at *Information Theory and its Applications Workshop (ITA)*, San Diego, California, 31 January – 5 February 2016.

[23] I. Lobel, E. Sadler, and L. R. Varshney, “Customer Referral Incentives and Social Media,” presented at *16th ACM Conference on Economics and Computation (EC 2015)*, Portland, Oregon, 15-19 June 2015.

[22] A. J. Gross, D. Murthy, and L. R. Varshney, “Pace of Life in Cities and the Emergence of Town Tweeters,” presented at *International Conference on Computational Social Science (IC2S2)*, Helsinki, Finland, 8-11 June 2015.

[21] L. R. Varshney, “Are there Informational Limits to Creativity?,” presented at *Information Theory and its Applications Workshop (ITA)*, San Diego, California, 1-6 February 2015. (*LRV Invited*)

[20] L. R. Varshney, “Block Diagrams in Information Theory: Drawing Things Closed,” presented at *SHOT Special Interest Group on Computers, Information, and Society Workshop 2014*, Dearborn, Michigan, 9 November 2014.

[19] E. Sadler, I. Lobel, and L. R. Varshney, “Customer Referral Incentives and Social Media,” presented at *INFORMS Annual Meeting*, San Francisco, California, 9-12 November 2014.

[18] N. Shao, K. R. Varshney, L. R. Varshney, and F. Pinel, “Personalization of Product Novelty Assessment via Bayesian Surprise,” presented at *2014 Joint Statistical Meetings (JSM)*, Boston, Massachusetts, 2-7 August 2014.

[17] A. Vempaty, L. R. Varshney, and P. K. Varshney, “Error-Correcting Codes allow Privacy and Quality Assurance in Crowdsourcing,” presented at *CrowdConf 2013*, San Francisco, California, 22 October 2013.

[16] F. Pinel, L. R. Varshney, and L. Tounsi, “Information in Networks as Inspiration: Value for Culinary Computational Creativity,” presented at *Workshop on Information in Networks (WIN)*, New York, New York, 4-5 October 2013.

[15] L. R. Varshney, “Fundamental Limits of Data Analytics for Sequential Selection,” presented at *2013 Information Theory and its Applications Workshop (ITA)*, San Diego, California, 10-15 February 2013. (*LRV Invited*)

[14] A. Mani, L. R. Varshney, and A. Pentland, “Focal Vocabularies vs. Shared Vocabularies in Social Networks: Balancing Individual Concerns and Social Exchange,” presented at *Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS)*, Cambridge, Massachusetts, 8-9 November 2012.

[13] L. R. Varshney, “Directed Acyclic Motifs for Conversation Analytics,” presented at *Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS)*, Cambridge, Massachusetts, 8-9 November 2012.

[12] D. Bhattacharjya, L. R. Varshney, F. Pinel, and Y.-M. Chee, “Computational Creativity: A Two-attribute Search Technique,” presented at *INFORMS Annual Meeting*, Phoenix, Arizona, 14-17 October 2012.

[11] A. Wein, J. Kusuma, L. R. Varshney, A. Richardson, and L. Srinivasan, “A Path towards Robust Sub-Nyquist Spike Acquisition for Neuroscience Applications,” presented at *34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society*, San Diego, California, 28 August – 1 September 2012.

[10] R. Williams, W. M. Gifford, and L. R. Varshney, “Using Statistical Algorithms to Predict Abuse against Children and Prioritize Cases,” presented at *18th National Conference on Child Abuse and Neglect*, Washington, DC, 16-20 April 2012.

[9] A. K. Fletcher, S. Rangan, L. R. Varshney, and A. Bhargava, “Neural Connectivity and Receptive Field Estimation via Hybrid Message Passing,” presented at *2012 Information Theory and its Applications Workshop (ITA)*, San Diego, California, 5-10 February 2012.

[8] L. Srinivasan, L. R. Varshney, and J. Kusuma, “Spike Acquisition at Ultra-Low Sampling Rates for Neuroprosthetic Devices,” presented at *Neuroscience 2010: Society for Neuroscience 40th Annual Meeting*, Program No. 20.13, San Diego, California, 13-17 November 2010.

[7] L. R. Varshney, “Communication with Unreliable Receivers,” presented at *2010 Information Theory and its Applications Workshop (ITA)*, La Jolla, California, 1-5 February 2010.

[6] V. Misra, V. K. Goyal, and L. R. Varshney, “Distributed Functional Scalar Quantization with Limited Encoder Interaction,” presented at *2009 Information Theory and its Applications Workshop (ITA)*, La Jolla, California, 8-13 February 2009. (*VKG Invited*)

[5] L. R. Varshney, “Meeting Shannon: Information-Theoretic Thinking in Engineering and Science,” presented at *2008 IEEE Information Theory Workshop (ITW)*, Porto, Portugal, 5-9 May 2008. (*LRV Invited*)

[4] L. R. Varshney, P. J. Sjöström, and D. B. Chklovskii, “Optimal Information Storage in Noisy Synapses,” presented at *2006 Cold Spring Harbor Laboratory Meeting on Channels, Receptors & Synapses*, Cold Spring Harbor, New York, 18-22 April 2006.

[3] D. B. Chklovskii and L. R. Varshney, “Noisy Synapses and Information Storage,” presented at *Neuroscience 2005: Society for Neuroscience 35th Annual Meeting*, Program No. 965.17, Washington, D.C., 12-16 November 2005.

[2] L. R. Varshney and D. B. Chklovskii, “Reliability and Information Storage Capacity of Synapses,” presented at *2005 Cold Spring Harbor Laboratory Meeting on Learning & Memory*, Cold Spring Harbor, New York, 20-24 April 2005.

[1] L. R. Varshney and S. D. Servetto, “A Distributed Transmitter for the Sensor Reachback Problem based on Radar Signals,” presented at *NSF-RPI Workshop on Pervasive Computing and Networking*, Troy, New York, 29-30 April 2004.

### Invited Festschrift Contributions

[1] L. R. Varshney, “Mathematization and Novel Systems,” in *Glimpses of Systems Theory and Novel Applications*, H. S. Sekhon, et al., Eds. Aligarh, India: Systems Society of India Punjab Chapter, 2005, pp. 144-148.

### M.S. and Ph.D. Theses

[8] D. Seo, “Information-Theoretic Analysis of Human-Machine Mixed Systems,” Ph.D. dissertation, University of Illinois at Urbana-Champaign, Urbana, IL, Aug. 2019.

[7] H. Yu, “Automatic Concept Learning via Information Lattices,” Ph.D. dissertation, University of Illinois at Urbana-Champaign, Urbana, IL, May 2019.

[6] R. K. Raman, “On the Information Theory of Clustering, Registration, and Blockchains,” Ph.D. dissertation, University of Illinois at Urbana-Champaign, Urbana, IL, May 2019.

[5] R. Chen, “Missing Values Imputation and Image Registration for Genetics Applications,” M.S. thesis, University of Illinois at Urbana-Champaign, Urbana, IL, May 2019.

[4] S. Agarwal, “A Study on Creativity: Detection and Network Structures,” M.S. thesis, University of Illinois at Urbana-Champaign, Urbana, IL, May 2019.

[3] R. Zhuang, “Science of Science: Biological Research Network,” M.S. thesis, University of Illinois at Urbana-Champaign, Urbana, IL, May 2019.

[2] X. Ge, “Computational Creativity Applications in Engineering,” M.S. thesis, University of Illinois at Urbana-Champaign, Urbana, IL, Dec. 2018.

[1] L. Chang, “Changing Edges in Graphical Model Algorithms,” M.S. thesis, University of Illinois at Urbana-Champaign, Urbana, IL, Dec. 2016.