| 2026 | EACL | DeepInsert: Early Layer Bypass for Efficient and Performant Multimodal Understanding. | Moulik Choraria, Xinbo Wu, Akhil Bhimaraju, Nitesh Sekhar, Yue Wu, Xu Zhang, Prateek Singhal, Lav R. Varshney |
| 2026 | ISIT | Iterative Decoding of Stabilizer Codes under Radiation-Induced Correlated Noise. | Anuj K. Nayak, Paul Baity, Peter J. Love, Nicholas Jeon, Byung-Jun Yoon, Adolfy Hoisie, Lav R. Varshney |
| 2025 | ICML | ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. | Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Jae-wook Ahn, Debanjana Kar, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri |
| 2025 | IUI | Conceptualizing Agency: A Framework for Human-AI Interaction. | Alexander Zhang, Lav R. Varshney |
| 2025 | NAACL | Transformer-based Causal Language Models Perform Clustering. | Xinbo Wu, Lav R. Varshney |
| 2024 | ACL | A Meta-Learning Perspective on Transformers for Causal Language Modeling. | Xinbo Wu, Lav R. Varshney |
| 2024 | CIKM | Fractional Budget Allocation for Influence Maximization under General Marketing Strategies. | Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal |
| 2024 | ISIT | Federated Learning via Lattice Joint Source-Channel Coding. | Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney |
| 2024 | ISIT | Directed Information Flow in Computing Systems with Living Neurons. | Austin R. Ellis-Mohr, Lav R. Varshney |
| 2024 | ISIT | Modeling Clinical Symptoms of Cognitive Decline in Neurodegenerative Disease as Faulty Computing. | Anant Naik, Paul M. Arnold, Lav R. Varshney |
| 2024 | ISIT | Semantic Compression with Information Lattice Learning. | Haizi Yu, Lav R. Varshney |
| 2023 | AAAI | Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. | Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das |
| 2023 | AAAI | Learning Optimal Features via Partial Invariance. | Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney |
| 2023 | CISS | Search for Extraterrestrial Intelligence as One-Shot Hypothesis Testing. | Ian George, Xinan Chen, Lav R. Varshney |
| 2023 | ICLR | Prompt Programming for the Visual Domain. | Alayt Issak, Lav R. Varshney |
| 2023 | ISCA | Programmable Olfactory Computing. | Nathaniel Bleier, Abigail Wezelis, Lav R. Varshney, Rakesh Kumar |
| 2023 | IUI | A Banal Account of a Safety-Creativity Tradeoff in Generative AI 163-165. | Kush R. Varshney, Lav R. Varshney |
| 2022 | ACSSC | Awareness-Constrained Discrete Choice in Multilayer Network Formation and Evolution. | Sam Spencer, Lav R. Varshney |
| 2022 | ISIT | Scheduling Group Tests over Time. | Akhil Bhimaraju, Lav R. Varshney |
| 2021 | AAAI | Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. | Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao |
| 2021 | ACSSC | Rational Inattention in Choice Overload: Clustering for Discrete Choices. | Pankaj Sharma, Lav R. Varshney |
| 2021 | AIES | GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. | Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong |
| 2021 | DCC | The Twelvefold Way of Non-Sequential Lossless Compression. | Taha Ameen ur Rahman, Alton S. Barbehenn, Xinan Chen, Hassan Dbouk, James A. Douglas, Yuncong Geng, Ian George, John B. Harvill, Sung Woo Jeon, Kartik K. Kansal, Kiwook Lee, Kelly A. Levick, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney |
| 2021 | ICASSP | Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. | Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao |
| 2021 | ICLR | Mirostat: a Neural Text decoding Algorithm that directly controls perplexity. | Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney |
| 2021 | ICLR | BERTology Meets Biology: Interpreting Attention in Protein Language Models. | Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani |
| 2021 | ITW | Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. | Elsa Dupraz, Lav R. Varshney, Franois Leduc-Primeau |
| 2020 | AAAI | A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. | Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim |
| 2020 | ACSSC | Distributed Boosting Classifiers over Noisy Channels. | Yongjune Kim, Yuval Cassuto, Lav R. Varshney |
| 2020 | DCC | Functional Epsilon Entropy. | Sourya Basu, Daewon Seo, Lav R. Varshney |
| 2020 | EMNLP | Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding. | Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan |
| 2020 | ISIT | Hypergraph-based Coding Schemes for Two Source Coding Problems under Maximal Distortion. | Sourya Basu, Daewon Seo, Lav R. Varshney |
| 2020 | ISIT | Noisy In-Memory Recursive Computation with Memristor Crossbars. | Elsa Dupraz, Lav R. Varshney |
| 2020 | ISIT | Registration of Finite Resolution Images: a Second-order Analysis. | Ravi Kiran Raman, Lav R. Varshney |
| 2020 | ISIT | Social Learning with Beliefs in a Parallel Network. | Daewon Seo, Ravi Kiran Raman, Lav R. Varshney |
| 2020 | ISIT | Bee-Identification Error Exponent with Absentee Bees. | Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney |
| 2020 | ITA | Limits of Detecting Text Generated by Large-Scale Language Models. | Lav R. Varshney, Nitish Shirish Keskar, Richard Socher |
| 2020 | WWW | RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. | Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney |
| 2019 | CISS | Registration for Image-Based Transcriptomics: Parametric Signal Features and Multivariate Information Measures. | Rebecca Chen, Abhinav B. Das, Lav R. Varshney |
| 2019 | CISS | Business-to-Peer Carsharing Systems with Electric Vehicles. | Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney |
| 2019 | ICASSP | Safety in the Face of Unknown Unknowns: Algorithm Fusion in Data-driven Engineering Systems. | Nina Kshetry, Lav R. Varshney |
| 2019 | ISIT | Binary Recursive Estimation on Noisy Hardware. | Elsa Dupraz, Lav R. Varshney |
| 2019 | ISIT | Information and Energy Transmission with Experimentally-Sampled Harvesting Functions. | Daewon Seo, Lav R. Varshney |
| 2019 | ISIT | The CEO Problem with rth Power of Difference Distortion. | Daewon Seo, Lav R. Varshney |
| 2019 | ISIT | Multicasting Energy and Information Simultaneously. | Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani |
| 2019 | ITW | Random Coding Error Exponent for the Bee-Identification Problem. | Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney |
| 2019 | ITW | On the Outage-Constrained Rate of Skip-Sliding Window Codes. | Ting-Yi Wu, Anshoo Tandon, Mehul Motani, Lav R. Varshney |
| 2018 | AIES | Embodiment, Anthropomorphism, and Intellectual Property Rights for AI Creations. | Deepak Somaya, Lav R. Varshney |
| 2018 | CISS | Surprising sequences for communication and conversation. | Ting-Yi Wu, Xiou Ge, Lav R. Varshney |
| 2018 | ICASSP | Probability Reweighting in Social Learning: Optimality and Suboptimality. | Daewon Seo, Ravi Kiran Raman, Lav R. Varshney |
| 2018 | ISIT | SRAM Bit-line Swings Optimization using Generalized Waterfilling. | Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag |
| 2018 | ISIT | Dynamic Distributed Storage for Blockchains. | Ravi Kiran Raman, Lav R. Varshney |
| 2018 | ISIT | On Multiuser Systems with Queue-Length Dependent Service Quality. | Daewon Seo, Avhishek Chatterjee, Lav R. Varshney |
| 2018 | ISIT | Skip-Sliding Window Codes. | Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani |
| 2018 | ITA | Distributed Storage Meets Secret Sharing on the Blockchain. | Ravi Kiran Raman, Lav R. Varshney |
| 2017 | ACSSC | A game-theoretic approach to a task delegation problem. | Donya Ghavidel Dobakhshari, Lav R. Varshney, Vijay Gupta |
| 2017 | CISS | Energy-reliability limits in nanoscale neural networks. | Avhishek Chatterjee, Lav R. Varshney |
| 2017 | DAC | A Systems Approach to Computing in Beyond CMOS Fabrics: Invited. | Ameya Patil, Naresh R. Shanbhag, Lav R. Varshney, Eric Pop, H.-S. Philip Wong, Subhasish Mitra, Jan M. Rabaey, Jeffrey A. Weldon, Larry T. Pileggi, Sasikanth Manipatruni, Dmitri E. Nikonov, Ian A. Young |
| 2017 | DCC | Universal Source Coding of Deep Neural Networks. | Sourya Basu, Lav R. Varshney |
| 2017 | FIE | The first cohort in a new innovation, leadership, and engineering entrepreneurship B. S. degree program. | Brooke S. Newell, Lav R. Varshney |
| 2017 | ICLR | Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music. | Haizi Yu, Lav R. Varshney |
| 2017 | ISIT | The capacity of injective semi-deterministic two-way channels. | Anas Chaaban, Lav R. Varshney, Mohamed-Slim Alouini |
| 2017 | ISIT | Towards optimal quantization of neural networks. | Avhishek Chatterjee, Lav R. Varshney |
| 2017 | ISIT | Budget-optimal clustering via crowdsourcing. | Ravi Kiran Raman, Lav R. Varshney |
| 2017 | ISIT | Universal joint image clustering and registration using partition information. | Ravi Kiran Raman, Lav R. Varshney |
| 2017 | ISIT | Communication over a channel that wears out. | Ting-Yi Wu, Lav R. Varshney, Vincent Y. F. Tan |
| 2017 | ITA | Illum information. | Ravi Kiran Raman, Haizi Yu, Lav R. Varshney |
| 2016 | ACSSC | Cost-performance tradeoffs in unreliable computation architectures. | Mehmet A. Donmez, Maxim Raginsky, Andrew C. Singer, Lav R. Varshney |
| 2016 | CISS | Fidelity loss in distribution-preserving anonymization and histogram equalization. | Lav R. Varshney, Kush R. Varshney |
| 2016 | ICASSP | Distributed estimation via paid crowd work. | Song Jianhan, Vei Wang Isaac Phua, Lav R. Varshney |
| 2016 | ICASSP | Bottleneck capacity of random graphs for connectomics. | Lav R. Varshney |
| 2016 | INFOCOM | Efficient and flexible crowdsourcing of specialized tasks with precedence constraints. | Avhishek Chatterjee, Michael Borokhovich, Lav R. Varshney, Sriram Vishwanath |
| 2016 | ISIT | LDPC decoders with missing connections. | Linjia Chang, Avhishek Chatterjee, Lav R. Varshney |
| 2016 | ISIT | Subblock energy-constrained codes for simultaneous energy and information transfer. | Anshoo Tandon, Mehul Motani, Lav R. Varshney |
| 2016 | ISITA | Capacity of systems with queue-length dependent service quality. | Avhishek Chatterjee, Daewon Seo, Lav R. Varshney |
| 2016 | ITA | Energy-reliability limits in nanoscale circuits. | Avhishek Chatterjee, Lav R. Varshney |
| 2016 | ITA | Language coverage for mismatched crowdsourcing. | Lav R. Varshney, Preethi Jyothi, Mark Hasegawa-Johnson |
| 2015 | INFOCOM | Work capacity of freelance markets: Fundamental limits and decentralized schemes. | Avhishek Chatterjee, Lav R. Varshney, Sriram Vishwanath |
| 2015 | ISIT | Communication strategies for low-latency trading. | Mina Karzand, Lav R. Varshney |
| 2015 | ISIT | Real-time simultaneous energy and information transfer. | Anshoo Tandon, Mehul Motani, Lav R. Varshney |
| 2015 | ITW | Toward limits of constructing reliable memories from unreliable components. | Lav R. Varshney |
| 2015 | ITW | CEO problem for belief sharing. | Aditya Vempaty, Lav R. Varshney |
| 2014 | CHI | Computational creativity for culinary recipes. | Florian Pinel, Lav R. Varshney |
| 2014 | IC2E | An Information-Theoretic View of Cloud Workloads. | Lav R. Varshney, Krishna C. Ratakonda |
| 2014 | ISIT | Information overload and human priority queuing. | Aseem Sharma, Krishna P. Jagannathan, Lav R. Varshney |
| 2014 | ITA | On code design for simultaneous energy and information transfer. | Anshoo Tandon, Mehul Motani, Lav R. Varshney |
| 2014 | ITA | Assuring privacy and reliability in crowdsourcing with coding. | Lav R. Varshney, Aditya Vempaty, Pramod K. Varshney |
| 2014 | SECON | Constant subblock composition codes for simultaneous energy and information transfer. | Anshoo Tandon, Mehul Motani, Lav R. Varshney |
| 2013 | DCC | Quantization Games on Networks. | Ankur Mani, Lav R. Varshney, Alex Pentland |
| 2013 | EDBT | Efficient multifaceted screening of job applicants. | Sameep Mehta, Rakesh Pimplikar, Amit Singh, Lav R. Varshney, Karthik Visweswariah |
| 2013 | ICASSP | Reliable classification by unreliable crowds. | Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney |
| 2013 | ISIT | Two way communication over exponential family type channels. | Lav R. Varshney |
| 2013 | ISIT | To surprise and inform. | Lav R. Varshney |
| 2012 | ISIT | On energy/information cross-layer architectures. | Lav R. Varshney |
| 2012 | ITA | Securing inductively-coupled communication. | Lav R. Varshney, Pulkit Grover, Anant Sahai |
| 2011 | BPM | On Cross-Enterprise Collaboration. | Lav R. Varshney, Daniel V. Oppenheim |
| 2011 | DCC | Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities. | Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal |
| 2011 | DCC | Conflict in Distributed Hypothesis Testing with Quantized Prior Probabilities. | Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal |
| 2011 | ICSOC | Work as a Service. | Daniel V. Oppenheim, Lav R. Varshney, Yi-Min Chee |
| 2011 | ISIT | Malleable coding with fixed segment reuse. | Julius Kusuma, Lav R. Varshney, Vivek K. Goyal |
| 2011 | ITA | Categorical decision making by people, committees, and crowds. | Lav R. Varshney, Joong Bum Rhim, Kush R. Varshney, Vivek K. Goyal |
| 2010 | CISS | Frame permutation quantization. | Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney |
| 2009 | ISIT | On concentric spherical codes and permutation codes with multiple initial codewords. | Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney |
| 2009 | ISIT | Malleable coding with edit-distance cost. | Lav R. Varshney, Julius Kusuma, Vivek K. Goyal |
| 2008 | DCC | High-Resolution Functional Quantization. | Vinith Misra, Vivek K. Goyal, Lav R. Varshney |
| 2008 | ICASSP | Minimum mean bayes risk error quantization of prior probabilities. | Kush R. Varshney, Lav R. Varshney |
| 2008 | ISIT | Transporting information and energy simultaneously. | Lav R. Varshney |
| 2008 | ITW | Meeting Shannon: Information-theoretic thinking in engineering and science. | Lav R. Varshney |
| 2006 | DCC | Toward a Source Coding Theory for Sets. | Lav R. Varshney, Vivek K. Goyal |