Lav R. Varshney

370 papers A* 14A 3B 48C 14Misc 27Journal 218Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Pooling: Matching for Robust Generalization under Data Heterogeneity. CoRR Ayush Roy, Rudrasis Chakraborty, Lav R. Varshney, Vishnu Suresh Lokhande
2026	J	`jnl`	CAETC: Causal Autoencoding and Treatment Conditioning for Counterfactual Estimation over Time. CoRR Nghia D. Nguyen, Pablo Robles-Granda, Lav R. Varshney
2026	—	`conf`	DeepInsert: Early Layer Bypass for Efficient and Performant Multimodal Understanding. EACL (Volume 1: Long Papers) Moulik Choraria, Xinbo Wu, Akhil Bhimaraju, Nitesh Sekhar, Yue Wu, Xu Zhang, Prateek Singhal, Lav R. Varshney
2026	J	`jnl`	Dynamic batching of online arrivals to leverage economies of scale. Eur. J. Oper. Res. Akhil Bhimaraju, S. Rasoul Etesami, Lav R. Varshney
2026	J	`jnl`	Energy-Aware Routing to Large Reasoning Models. CoRR Austin R. Ellis-Mohr, Max Hartman, Lav R. Varshney
2026	J	`jnl`	Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning. Trans. Mach. Learn. Res. Raghav Singhal, Kaustubh Ponkshe, Rohit Vartak, Lav R. Varshney, Praneeth Vepakomma
2026	J	`jnl`	Iterative Decoding of Stabilizer Codes under Radiation-Induced Correlated Noise. CoRR Anuj K. Nayak, Paul Baity, Peter J. Love, Nicholas Jeon, Byung-Jun Yoon, Adolfy Hoisie, Lav R. Varshney
2025	J	`jnl`	A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search. CoRR Austin R. Ellis-Mohr, Anuj K. Nayak, Lav R. Varshney
2025	J	`jnl`	An Efficient Test-Time Scaling Approach for Image Generation. CoRR Vignesh Sundaresha, Akash Haridas, Vikram Appia, Lav R. Varshney
2025	J	`jnl`	An Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models. IEEE J. Sel. Top. Signal Process. Anuj K. Nayak, Lav R. Varshney
2025	J	`jnl`	Combinatorial Creativity: A New Frontier in Generalization Abilities. CoRR Samuel Schapiro, Sumuk Shashidhar, Alexi Gladstone, Jonah Black, Royce Moon, Dilek Hakkani-Tur, Lav R. Varshney
2025	J	`jnl`	Concealment of Intent: A Game-Theoretic Analysis. CoRR Xinbo Wu, Abhishek K. Umrawal, Lav R. Varshney
2025	—	`conf`	Conceptualizing Agency: A Framework for Human-AI Interaction. IUI Workshops Alexander Zhang, Lav R. Varshney
2025	J	`jnl`	Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study. Trans. Mach. Learn. Res. Razan Baltaji, Saurabh Pujar, Martin Hirzel, Louis Mandel, Luca Buratti, Lav R. Varshney
2025	J	`jnl`	Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning. CoRR Raghav Singhal, Kaustubh Ponkshe, Rohit Vartak, Lav R. Varshney, Praneeth Vepakomma
2025	J	`jnl`	Federated Nonlinear System Identification. CoRR Omkar Tupe, Max Hartman, Lav R. Varshney, Saurav Prakash
2025	J	`jnl`	Foundation Models for Discovery and Exploration in Chemical Space. CoRR Alexius Wadell, Anoushka Bhutani, Victor Azumah, Austin R. Ellis-Mohr, Celia Kelly, Hancheng Zhao, Anuj K. Nayak, Kareem Hegazy, Alexander Brace, Hongyi Lin, Murali Emani, Venkatram Vishwanath, Kevin Gering, Melisa Alkan, Tom Gibbs, Jack C. Wells, Lav R. Varshney, Bharath Ramsundar, Karthik Duraisamy, Michael W. Mahoney, Arvind Ramanathan, Venkatasubramanian Viswanathan
2025	A*	`conf`	ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. ICML 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	J	`jnl`	ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. CoRR 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, Pavankumar Murali, Jae-wook Ahn, Debanjana Kar, Ameet Rahane, Carlos Fonseca, 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	J	`jnl`	Inaccessible Entropy for Watermarking Generative Agents. IACR Cryptol. ePrint Arch. Daniel Alabi, Lav R. Varshney
2025	J	`jnl`	Many LLMs Are More Utilitarian Than One. CoRR Anita Keshmirian, Razan Baltaji, Babak Hemmatian, Hadi Asghari, Lav R. Varshney
2025	C	`conf`	Online Reinforcement Learning with Passive Memory. ACC Anay Pattanaik, Lav R. Varshney
2025	J	`jnl`	Platonic Grounding for Efficient Multimodal Language Models. CoRR Moulik Choraria, Xinbo Wu, Akhil Bhimaraju, Nitesh Sekhar, Yue Wu, Xu Zhang, Prateek Singhal, Lav R. Varshney
2025	J	`jnl`	Scalable Multiterminal Key Agreement via Error-Correcting Codes. CoRR Benjamin D. Kim, Daniel Alabi, Lav R. Varshney
2025	J	`jnl`	Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models. CoRR Max Hartman, Vidhata Arjun Jayaraman, Moulik Choraria, Akhil Bhimaraju, Lav R. Varshney
2025	J	`jnl`	Spark: A System for Scientifically Creative Idea Generation. CoRR Aishik Sanyal, Samuel Schapiro, Sumuk Shashidhar, Royce Moon, Lav R. Varshney, Dilek Hakkani-Tur
2025	J	`jnl`	SparseJEPA: Sparse Representation Learning of Joint Embedding Predictive Architectures. CoRR Max Hartman, Lav R. Varshney
2025	J	`jnl`	Transformational Creativity in Science: A Graphical Theory. CoRR Samuel Schapiro, Jonah Black, Lav R. Varshney
2025	—	`conf`	Transformer-based Causal Language Models Perform Clustering. NAACL (Findings) Xinbo Wu, Lav R. Varshney
2025	J	`jnl`	Watermarking Discrete Diffusion Language Models. CoRR Avi Bagchi, Akhil Bhimaraju, Moulik Choraria, Daniel Alabi, Lav R. Varshney
2024	—	`conf`	A Meta-Learning Perspective on Transformers for Causal Language Modeling. ACL (Findings) Xinbo Wu, Lav R. Varshney
2024	J	`jnl`	An Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models. CoRR Anuj K. Nayak, Lav R. Varshney
2024	J	`jnl`	Artificial Intelligence, Social Responsibility, and the Roles of the University. Commun. ACM Michael C. Loui, Nigel Bosch, Anita Say Chan, Jenny L. Davis, Rochelle Gutiérrez, Jingrui He, Karrie Karahalios, Sanmi Koyejo, Ruby Mendenhall, Madelyn Rose Sanfilippo, Hanghang Tong, Lav R. Varshney, Yang Wang
2024	J	`jnl`	Compute-Update Federated Learning: A Lattice Coding Approach. CoRR Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney
2024	J	`jnl`	Compute-Update Federated Learning: A Lattice Coding Approach. IEEE Trans. Signal Process. Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney
2024	J	`jnl`	Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration. CoRR Razan Baltaji, Babak Hemmatian, Lav R. Varshney
2024	—	`conf`	Directed Information Flow in Computing Systems with Living Neurons. ISIT (Workshops) Austin R. Ellis-Mohr, Lav R. Varshney
2024	J	`jnl`	Efficient Model-Agnostic Multi-Group Equivariant Networks. Trans. Mach. Learn. Res. Razan Baltaji, Sourya Basu, Lav R. Varshney
2024	B	`conf`	Federated Learning via Lattice Joint Source-Channel Coding. ISIT Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney
2024	J	`jnl`	Federated Learning via Lattice Joint Source-Channel Coding. CoRR Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney
2024	J	`jnl`	Formal Verification of Digital Twins with TLA and Information Leakage Control. CoRR Luwen Huang, Lav R. Varshney, Karen E. Willcox
2024	A	`conf`	Fractional Budget Allocation for Influence Maximization under General Marketing Strategies. CIKM Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal
2024	J	`jnl`	Fractional Budget Allocation for Influence Maximization under General Marketing Strategies. CoRR Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal
2024	B	`conf`	Leveraging Privacy-Enhancing Technology to Better Serve the United States' Public. IEEE Big Data Makini Chisolm-Straker, Lav R. Varshney
2024	—	`conf`	Modeling Clinical Symptoms of Cognitive Decline in Neurodegenerative Disease as Faulty Computing. ISIT (Workshops) Anant Naik, Paul M. Arnold, Lav R. Varshney
2024	J	`jnl`	On Carsharing Platforms With Electric Vehicles as Energy Service Providers. IEEE Trans. Intell. Transp. Syst. Xi Cheng, Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney
2024	J	`jnl`	Online Reinforcement Learning with Passive Memory. CoRR Anay Pattanaik, Lav R. Varshney
2024	J	`jnl`	Programmable Olfactory Computing. IEEE Micro Nathaniel Bleier, Abigail Wezelis, Lav R. Varshney, Rakesh Kumar
2024	J	`jnl`	Reliable Quantum Memories with Unreliable Components. CoRR Anuj K. Nayak, Eric Chitambar, Lav R. Varshney
2024	—	`conf`	Semantic Compression with Information Lattice Learning. ISIT (Workshops) Haizi Yu, Lav R. Varshney
2024	J	`jnl`	Semantic Compression with Information Lattice Learning. CoRR Haizi Yu, Lav R. Varshney
2024	J	`jnl`	SwitchCIT: Switching for Continual Instruction Tuning of Large Language Models. CoRR Xinbo Wu, Max Hartman, Vidhata Arjun Jayaraman, Lav R. Varshney
2024	J	`jnl`	Transformer-based Causal Language Models Perform Clustering. CoRR Xinbo Wu, Lav R. Varshney
2024	J	`jnl`	Transforming the Hybrid Cloud for Emerging AI Workloads. CoRR Deming Chen, Alaa Youssef, Ruchi Pendse, André Schleife, Bryan K. Clark, Hendrik F. Hamann, Jingrui He, Teodoro Laino, Lav R. Varshney, Yuxiong Wang, Avirup Sil, Reyhaneh Jabbarvand, Tianyin Xu, Volodymyr V. Kindratenko, Carlos H. A. Costa, Sarita V. Adve, Charith Mendis, Minjia Zhang, Santiago Núñez-Corrales, Raghu K. Ganti, Mudhakar Srivatsa, Nam Sung Kim, Josep Torrellas, Jian Huang, Seetharami R. Seelam, Klara Nahrstedt, Tarek F. Abdelzaher, Tamar Eilam, Huimin Zhao, Matteo Manica, Ravishankar K. Iyer, Martin Hirzel, Vikram S. Adve, Darko Marinov, Hubertus Franke, Hanghang Tong, Elizabeth A. Ainsworth, Han Zhao, Deepak Vasisht, Minh Do, Fábio Oliveira, Giovanni Pacifici, Ruchir Puri, Priya Nagpurkar
2023	—	`conf`	A Banal Account of a Safety-Creativity Tradeoff in Generative AI 163-165. IUI Workshops Kush R. Varshney, Lav R. Varshney
2023	J	`jnl`	A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering. J. Mach. Learn. Res. Haizi Yu, Igor Mineyev, Lav R. Varshney
2023	J	`jnl`	A Meta-Learning Perspective on Transformers for Causal Language Modeling. CoRR Xinbo Wu, Lav R. Varshney
2023	J	`jnl`	Designing Discontinuities. CoRR Ibtihal Ferwana, Suyoung Park, Ting-Yi Wu, Lav R. Varshney
2023	J	`jnl`	Distributed Boosting Classification Over Noisy Communication Channels. IEEE J. Sel. Areas Commun. Yongjune Kim, Junyoung Shin, Yuval Cassuto, Lav R. Varshney
2023	J	`jnl`	Dynamic Batching of Online Arrivals to Leverage Economies of Scale. CoRR Akhil Bhimaraju, S. Rasoul Etesami, Lav R. Varshney
2023	J	`jnl`	Dynamic Resource Allocation to Minimize Concave Costs of Shortfalls. IEEE Control. Syst. Lett. Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney
2023	A*	`conf`	Efficient Equivariant Transfer Learning from Pretrained Models. NeurIPS Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs-Campbell, Payel Das, Lav R. Varshney
2023	J	`jnl`	Efficient Model-Agnostic Multi-Group Equivariant Networks. CoRR Razan Baltaji, Sourya Basu, Lav R. Varshney
2023	A*	`conf`	Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. AAAI Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das
2023	J	`jnl`	Equivariant Few-Shot Learning from Pretrained Models. CoRR Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Rose Driggs-Campbell, Payel Das, Lav R. Varshney
2023	J	`jnl`	Information Lattice Learning. J. Artif. Intell. Res. Haizi Yu, James A. Evans, Lav R. Varshney
2023	J	`jnl`	Language Grounded QFormer for Efficient Vision Language Understanding. CoRR Moulik Choraria, Nitesh Sekhar, Yue Wu, Xu Zhang, Prateek Singhal, Lav R. Varshney
2023	A*	`conf`	Learning Optimal Features via Partial Invariance. AAAI Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney
2023	J	`jnl`	Learning Optimal Features via Partial Invariance. CoRR Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney
2023	J	`jnl`	Learning Transfers over Several Programming Languages. CoRR Razan Baltaji, Saurabh Pujar, Louis Mandel, Martin Hirzel, Luca Buratti, Lav R. Varshney
2023	J	`jnl`	Muslim-Violence Bias Persists in Debiased GPT Models. CoRR Babak Hemmatian, Razan Baltaji, Lav R. Varshney
2023	J	`jnl`	Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India. CoRR Xiou Ge, Sarah E. Brown, Pushpendra Rana, Lav R. Varshney, Daniel C. Miller
2023	J	`jnl`	On Simultaneous Information and Energy Transmission through Quantum Channels. CoRR Bishal Kumar Das, Lav R. Varshney, Vaibhav Madhok
2023	A*	`conf`	Programmable Olfactory Computing. ISCA Nathaniel Bleier, Abigail Wezelis, Lav R. Varshney, Rakesh Kumar
2023	—	`conf`	Prompt Programming for the Visual Domain. Tiny Papers @ ICLR Alayt Issak, Lav R. Varshney
2023	Misc	`conf`	Search for Extraterrestrial Intelligence as One-Shot Hypothesis Testing. CISS Ian George, Xinan Chen, Lav R. Varshney
2023	J	`jnl`	Transformers are Universal Predictors. CoRR Sourya Basu, Moulik Choraria, Lav R. Varshney
2023	J	`jnl`	Understanding Interactions Between Chip Architecture and Uncertainties in Semiconductor Supply and Demand. CoRR Ramakrishna Kanungo, Swamynathan Siva, Nathaniel Bleier, Muhammad Husnain Mubarik, Lav R. Varshney, Rakesh Kumar
2022	C	`conf`	Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. COMPASS Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney
2022	J	`jnl`	Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. CoRR Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney
2022	C	`conf`	Artistic Autonomy in AI Art. ICCC Alayt Issak, Lav R. Varshney
2022	—	`conf`	Awareness-Constrained Discrete Choice in Multilayer Network Formation and Evolution. IEEECONF Sam Spencer, Lav R. Varshney
2022	J	`jnl`	Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. CoRR Klara Nahrstedt, Naresh R. Shanbhag, Vikram S. Adve, Nancy M. Amato, Romit Roy Choudhury, Carl A. Gunter, Nam Sung Kim, Olgica Milenkovic, Sayan Mitra, Lav R. Varshney, Yurii Vlasov, Sarita V. Adve, Rashid Bashir, Andreas Cangellaris, James DiCarlo, Katie Driggs-Campbell, Nick Feamster, Mattia Gazzola, Karrie Karahalios, Sanmi Koyejo, Paul G. Kwiat, Bo Li, Negar Mehr, Ravish Mehra, Andrew Miller, Daniela Rus, Alexander G. Schwing, Anshumali Shrivastava
2022	J	`jnl`	Debiased Large Language Models Still Associate Muslims with Uniquely Violent Acts. CoRR Babak Hemmatian, Lav R. Varshney
2022	J	`jnl`	Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. CoRR Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das
2022	J	`jnl`	Expected Extinction Times of Epidemics With State-Dependent Infectiousness. IEEE Trans. Netw. Sci. Eng. Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney
2022	J	`jnl`	Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts. IEEE Signal Process. Mag. Payel Das, Lav R. Varshney
2022	J	`jnl`	Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion. IEEE J. Sel. Areas Inf. Theory Sourya Basu, Daewon Seo, Lav R. Varshney
2022	J	`jnl`	Hypergraph-based Source Codes for Function Computation Under Maximal Distortion. CoRR Sourya Basu, Daewon Seo, Lav R. Varshney
2022	J	`jnl`	Learning from One and Only One Shot. CoRR Haizi Yu, Igor Mineyev, Lav R. Varshney, James A. Evans
2022	J	`jnl`	Nonstationary Reinforcement Learning with Linear Function Approximation. Trans. Mach. Learn. Res. Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan
2022	J	`jnl`	Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau
2022	B	`conf`	Scheduling Group Tests over Time. ISIT Akhil Bhimaraju, Lav R. Varshney
2022	J	`jnl`	Short and Wide Network Paths. IEEE Trans. Netw. Sci. Eng. Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale
2022	—	`conf`	Source Identification for Exosomal Communication via Protein Language Models. MLSP Xinbo Wu, Alexandru Hanganu, Ayuko Hoshino, Lav R. Varshney
2022	J	`jnl`	Universal and Succinct Source Coding of Deep Neural Networks. IEEE J. Sel. Areas Inf. Theory Sourya Basu, Lav R. Varshney
2021	—	`conf`	A Predicament in Securing Blockchain Consensus via Controlling Cryptopuzzle Difficulty. IEEE ICBC Venkata Sriram Siddhardh Nadendla, Lav R. Varshney
2021	C	`conf`	AI-Aided Co-Creation for Wellbeing. ICCC Haizi Yu, James A. Evans, Donna Gallo, Adam Kruse, William M. Patterson, Lav R. Varshney
2021	A*	`conf`	Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. AAAI Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
2021	A*	`conf`	BERTology Meets Biology: Interpreting Attention in Protein Language Models. ICLR Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani
2021	J	`jnl`	Balancing Fairness and Robustness via Partial Invariance. CoRR Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney
2021	J	`jnl`	Coding for Scalable Blockchains via Dynamic Distributed Storage. IEEE/ACM Trans. Netw. Ravi Kiran Raman, Lav R. Varshney
2021	J	`jnl`	Decision Making in Star Networks With Incorrect Beliefs. IEEE Trans. Signal Process. Daewon Seo, Ravi Kiran Raman, Lav R. Varshney
2021	A*	`conf`	Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher
2021	J	`jnl`	Evaluating State-of-the-Art Classification Models Against Bayes Optimality. CoRR Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher
2021	C	`conf`	GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. AIES Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong
2021	J	`jnl`	Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning. CoRR Sourya Basu, Akshayaa Magesh, Harshit Yadav, Lav R. Varshney
2021	J	`jnl`	Guest Editoral Signal Processing Advances in Wireless Transmission of Information and Power. IEEE J. Sel. Top. Signal Process. Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini
2021	J	`jnl`	Limits of Detecting Extraterrestrial Civilizations. CoRR Ian George, Xinan Chen, Lav R. Varshney
2021	J	`jnl`	Mean Extinction Times of Epidemics with State-Dependent Infectiousness. CoRR Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney
2021	A*	`conf`	Mirostat: a Neural Text decoding Algorithm that directly controls perplexity. ICLR Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney
2021	Misc	`conf`	Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. ICASSP Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao
2021	J	`jnl`	Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. CoRR Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau
2021	J	`jnl`	Orbit Computation for Atomically Generated Subgroups of Isometries of ℤ SIAM J. Appl. Algebra Geom. Haizi Yu, Igor Mineyev, Lav R. Varshney
2021	B	`conf`	Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. ITW Elsa Dupraz, Lav R. Varshney, François Leduc-Primeau
2021	J	`jnl`	Quantization Games on Social Networks and Language Evolution. IEEE Trans. Signal Process. Ankur Mani, Lav R. Varshney, Alex Pentland
2021	—	`conf`	Rational Inattention in Choice Overload: Clustering for Discrete Choices. ACSCC Pankaj Sharma, Lav R. Varshney
2021	J	`jnl`	Skip-Sliding Window Codes. IEEE Trans. Commun. Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani
2021	—	`conf`	Social Bubbles and Superspreaders: Source Identification for Contagion Processes on Hypertrees. SSP Sam Spencer, Lav R. Varshney
2021	J	`jnl`	The CEO Problem With rth Power of Difference and Logarithmic Distortions. IEEE Trans. Inf. Theory Daewon Seo, Lav R. Varshney
2021	B	`conf`	The Twelvefold Way of Non-Sequential Lossless Compression. DCC 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	J	`jnl`	Wireless Network Coding With Intelligent Reflecting Surfaces. IEEE Commun. Lett. Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed-Slim Alouini
2021	J	`jnl`	Wireless Network Coding with Intelligent Reflecting Surfaces. CoRR Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed-Slim Alouini
2021	J	`jnl`	Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing. CoRR Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini
2021	J	`jnl`	Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing. IEEE J. Sel. Top. Signal Process. Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini
2020	J	`jnl`	A Difficulty in Controlling Blockchain Mining Costs via Cryptopuzzle Difficulty. CoRR Venkata Sriram Siddhardh Nadendla, Lav R. Varshney
2020	J	`jnl`	A Game-Theoretic Approach to a Task Delegation Problem. CoRR Donya Ghavidel Dobakhshari, Lav R. Varshney, Vijay Gupta
2020	A*	`conf`	A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. AAAI Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim
2020	J	`jnl`	Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. CoRR Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
2020	J	`jnl`	BERTology Meets Biology: Interpreting Attention in Protein Language Models. CoRR Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani
2020	B	`conf`	Bee-Identification Error Exponent with Absentee Bees. ISIT Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney
2020	J	`jnl`	Classes of Full-Duplex Channels With Capacity Achieved Without Adaptation. IEEE Trans. Commun. Daewon Seo, Anas Chaaban, Lav R. Varshney, Mohamed-Slim Alouini
2020	Misc	`conf`	Distributed Boosting Classifiers over Noisy Channels. ACSSC Yongjune Kim, Yuval Cassuto, Lav R. Varshney
2020	J	`jnl`	Energy-Reliability Limits in Nanoscale Feedforward Neural Networks and Formulas. IEEE J. Sel. Areas Inf. Theory Avhishek Chatterjee, Lav R. Varshney
2020	J	`jnl`	Explaining Creative Artifacts. CoRR Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher
2020	J	`jnl`	Finite-Sample Analysis of Image Registration. CoRR Ravi Kiran Raman, Lav R. Varshney
2020	B	`conf`	Functional Epsilon Entropy. DCC Sourya Basu, Daewon Seo, Lav R. Varshney
2020	J	`jnl`	GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. CoRR Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong
2020	J	`jnl`	Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge. CoRR Haizi Yu, Heinrich Taube, James A. Evans, Lav R. Varshney
2020	B	`conf`	Hypergraph-based Coding Schemes for Two Source Coding Problems under Maximal Distortion. ISIT Sourya Basu, Daewon Seo, Lav R. Varshney
2020	C	`conf`	Limits Theorems for Creativity with Intentionality. ICCC Lav R. Varshney
2020	Misc	`conf`	Limits of Detecting Text Generated by Large-Scale Language Models. ITA Lav R. Varshney, Nitish Shirish Keskar, Richard Socher
2020	J	`jnl`	Limits of Detecting Text Generated by Large-Scale Language Models. CoRR Lav R. Varshney, Nitish Shirish Keskar, Richard Socher
2020	J	`jnl`	Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding. CoRR Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan
2020	—	`conf`	Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding. EMNLP (1) Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan
2020	J	`jnl`	Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm. CoRR Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney
2020	B	`conf`	Noisy In-Memory Recursive Computation with Memristor Crossbars. ISIT Elsa Dupraz, Lav R. Varshney
2020	J	`jnl`	Nonstationary Reinforcement Learning with Linear Function Approximation. CoRR Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan
2020	J	`jnl`	On Multiple-Access in Queue-Length Sensitive Systems. IEEE Open J. Commun. Soc. Daewon Seo, Avhishek Chatterjee, Lav R. Varshney
2020	J	`jnl`	Outage-Constrained Rate of Skip-Sliding Window Codes. IEEE Trans. Green Commun. Netw. Ting-Yi Wu, Anshoo Tandon, Mehul Motani, Lav R. Varshney
2020	J	`jnl`	Planting trees at the right places: Recommending suitable sites for growing trees using algorithm fusion. CoRR Pushpendra Rana, Lav R. Varshney
2020	J	`jnl`	Quantization Games on Social Networks and Language Evolution. CoRR Ankur Mani, Lav R. Varshney, Alex Pentland
2020	—	`conf`	RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. WWW (Companion Volume) Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney
2020	J	`jnl`	RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. CoRR Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney
2020	B	`conf`	Registration of Finite Resolution Images: a Second-order Analysis. ISIT Ravi Kiran Raman, Lav R. Varshney
2020	J	`jnl`	Respect for Human Autonomy in Recommender Systems. CoRR Lav R. Varshney
2020	B	`conf`	Social Learning with Beliefs in a Parallel Network. ISIT Daewon Seo, Ravi Kiran Raman, Lav R. Varshney
2020	J	`jnl`	The Bee-Identification Error Exponent With Absentee Bees. IEEE Trans. Inf. Theory Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney
2020	J	`jnl`	The Twelvefold Way of Non-Sequential Lossless Compression. CoRR 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
2019	J	`jnl`	A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. CoRR Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim
2019	J	`jnl`	A big data approach to computational creativity: The curious case of Chef Watson. IBM J. Res. Dev. Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee
2019	J	`jnl`	Accelerated Discovery of Sustainable Building Materials. CoRR Xiou Ge, Richard T. Goodwin, Jeremy R. Gregory, Randolph E. Kirchain, Joana Maria, Lav R. Varshney
2019	J	`jnl`	Are Run-Length Limited Codes Suitable for Simultaneous Energy and Information Transfer? IEEE Trans. Green Commun. Netw. Anshoo Tandon, Mehul Motani, Lav R. Varshney
2019	J	`jnl`	Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits. CoRR Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao
2019	J	`jnl`	Beliefs in Decision-Making Cascades. IEEE Trans. Signal Process. Daewon Seo, Ravi Kiran Raman, Joong Bum Rhim, Vivek K. Goyal, Lav R. Varshney
2019	B	`conf`	Binary Recursive Estimation on Noisy Hardware. ISIT Elsa Dupraz, Lav R. Varshney
2019	J	`jnl`	Boosting Classifiers with Noisy Inference. CoRR Yongjune Kim, Yuval Cassuto, Lav R. Varshney
2019	Misc	`conf`	Business-to-Peer Carsharing Systems with Electric Vehicles. CISS Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney
2019	J	`jnl`	CTRL: A Conditional Transformer Language Model for Controllable Generation. CoRR Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher
2019	J	`jnl`	Classes of Full-Duplex Channels with Capacity Achieved Without Adaptation. CoRR Daewon Seo, Anas Chaaban, Lav R. Varshney, Mohamed-Slim Alouini
2019	J	`jnl`	Efficient Local Secret Sharing for Distributed Blockchain Systems. IEEE Commun. Lett. Yongjune Kim, Ravi Kiran Raman, Young-Sik Kim, Lav R. Varshney, Naresh R. Shanbhag
2019	J	`jnl`	Error Exponent Bounds for the Bee-Identification Problem. CoRR Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney
2019	—	`conf`	Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning. PDH Helena H. Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney
2019	J	`jnl`	Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning. CoRR Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney
2019	J	`jnl`	Functional Epsilon Entropy. CoRR Sourya Basu, Daewon Seo, Lav R. Varshney
2019	—	`conf`	Generalized Jordan Center: A Source Localization Heuristic For Noisy And Incomplete Observations. DSW Huozhi Zhou, Ashish Jagmohan, Lav R. Varshney
2019	J	`jnl`	Information and Energy Transmission With Experimentally Sampled Harvesting Functions. IEEE Trans. Commun. Daewon Seo, Lav R. Varshney
2019	B	`conf`	Information and Energy Transmission with Experimentally-Sampled Harvesting Functions. ISIT Daewon Seo, Lav R. Varshney
2019	J	`jnl`	Limits of Deepfake Detection: A Robust Estimation Viewpoint. CoRR Sakshi Agarwal, Lav R. Varshney
2019	J	`jnl`	Mathematical limit theorems for computational creativity. IBM J. Res. Dev. Lav R. Varshney
2019	B	`conf`	Multicasting Energy and Information Simultaneously. ISIT Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani
2019	J	`jnl`	Must Surprise Trump Information? IEEE Technol. Soc. Mag. Lav R. Varshney
2019	—	`conf`	Non-Negative Matrix Factorization of Clustered Data with Missing Values. DSW Rebecca Chen, Lav R. Varshney
2019	J	`jnl`	On Multiple-Access Systems with Queue-Length Dependent Service Quality. CoRR Daewon Seo, Avhishek Chatterjee, Lav R. Varshney
2019	J	`jnl`	On the Bee-Identification Error Exponent with Absentee Bees. CoRR Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney
2019	B	`conf`	On the Outage-Constrained Rate of Skip-Sliding Window Codes. ITW Ting-Yi Wu, Anshoo Tandon, Mehul Motani, Lav R. Varshney
2019	J	`jnl`	On the Throughput of Channels That Wear Out. IEEE Trans. Commun. Ting-Yi Wu, Lav R. Varshney, Vincent Y. F. Tan
2019	J	`jnl`	Orbit Computation for Atomically Generated Subgroups of Isometries of Z CoRR Haizi Yu, Igor Mineyev, Lav R. Varshney
2019	—	`conf`	Polar Codes for Simultaneous Information and Energy Transmission. SPAWC Sourya Basu, Lav R. Varshney
2019	J	`jnl`	Pretrained AI Models: Performativity, Mobility, and Change. CoRR Lav R. Varshney, Nitish Shirish Keskar, Richard Socher
2019	B	`conf`	Random Coding Error Exponent for the Bee-Identification Problem. ITW Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney
2019	Misc	`conf`	Registration for Image-Based Transcriptomics: Parametric Signal Features and Multivariate Information Measures. CISS Rebecca Chen, Abhinav B. Das, Lav R. Varshney
2019	C	`conf`	Ridesharing Systems with Electric Vehicles. ACC Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney
2019	Misc	`conf`	Safety in the Face of Unknown Unknowns: Algorithm Fusion in Data-driven Engineering Systems. ICASSP Nina Kshetry, Lav R. Varshney
2019	J	`jnl`	Shannon-Inspired Statistical Computing for the Nanoscale Era. Proc. IEEE Naresh R. Shanbhag, Naveen Verma, Yongjune Kim, Ameya D. Patil, Lav R. Varshney
2019	J	`jnl`	Short and Wide Network Paths. CoRR Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale
2019	J	`jnl`	Signal Processing Foundations for Time-Based Signal Representations: Neurobiological parallels to engineered systems designed for energy efficiency or hardware simplicity. IEEE Signal Process. Mag. Noyan Cem Sevüktekin, Lav R. Varshney, Pavan Kumar Hanumolu, Andrew C. Singer
2019	J	`jnl`	Social Learning with Beliefs in a Parallel Network. CoRR Daewon Seo, Ravi Kiran Raman, Lav R. Varshney
2019	J	`jnl`	The Bee-Identification Problem: Bounds on the Error Exponent. IEEE Trans. Commun. Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney
2019	B	`conf`	The CEO Problem with rth Power of Difference Distortion. ISIT Daewon Seo, Lav R. Varshney
2018	J	`jnl`	A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering. CoRR Haizi Yu, Igor Mineyev, Lav R. Varshney
2018	J	`jnl`	A Neural Network System for Transformation of Regional Cuisine Style. Frontiers ICT Masahiro Kazama, Minami Sugimoto, Chizuru Hosokawa, Keisuke Matsushima, Lav R. Varshney, Yoshiki Ishikawa
2018	J	`jnl`	Are RLL Codes Suitable for Simultaneous Energy and Information Transfer? CoRR Anshoo Tandon, Mehul Motani, Lav R. Varshney
2018	J	`jnl`	Beliefs and Expertise in Sequential Decision Making. CoRR Daewon Seo, Ravi Kiran Raman, Joong Bum Rhim, Vivek K. Goyal, Lav R. Varshney
2018	C	`conf`	Computational Creativity for Valid Rube Goldberg Machines. ICCC Jinjun Xiong, Xiou Ge, Lav R. Varshney
2018	Misc	`conf`	Distributed Storage Meets Secret Sharing on the Blockchain. ITA Ravi Kiran Raman, Lav R. Varshney
2018	B	`conf`	Dynamic Distributed Storage for Blockchains. ISIT Ravi Kiran Raman, Lav R. Varshney
2018	J	`jnl`	Efficient and Flexible Crowdsourcing of Specialized Tasks With Precedence Constraints. IEEE/ACM Trans. Netw. Avhishek Chatterjee, Michael Borokhovich, Lav R. Varshney, Sriram Vishwanath
2018	C	`conf`	Embodiment, Anthropomorphism, and Intellectual Property Rights for AI Creations. AIES Deepak Somaya, Lav R. Varshney
2018	J	`jnl`	Experiments and Models for Decision Fusion by Humans in Inference Networks. IEEE Trans. Signal Process. Aditya Vempaty, Lav R. Varshney, Gregory J. Koop, Amy H. Criss, Pramod K. Varshney
2018	C	`conf`	Generalization across Contexts in Unsupervised Computational Creativity. ICCC Dharmashankar Subramanian, Debarun Bhattacharjya, Lav R. Varshney
2018	J	`jnl`	Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs. IEEE Trans. Commun. Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag
2018	J	`jnl`	Information and Energy Transfer with Experimentally-Sampled Harvesting Functions. CoRR Daewon Seo, Lav R. Varshney
2018	J	`jnl`	Multicasting Energy and Information Simultaneously. CoRR Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani
2018	B	`conf`	On Multiuser Systems with Queue-Length Dependent Service Quality. ISIT Daewon Seo, Avhishek Chatterjee, Lav R. Varshney
2018	Misc	`conf`	Probability Reweighting in Social Learning: Optimality and Suboptimality. ICASSP Daewon Seo, Ravi Kiran Raman, Lav R. Varshney
2018	B	`conf`	SRAM Bit-line Swings Optimization using Generalized Waterfilling. ISIT Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag
2018	B	`conf`	Skip-Sliding Window Codes. ISIT Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani
2018	Misc	`conf`	Surprising sequences for communication and conversation. CISS Ting-Yi Wu, Xiou Ge, Lav R. Varshney
2018	J	`jnl`	The CEO Problem with rth Power of Difference and Logarithmic Distortions. CoRR Daewon Seo, Lav R. Varshney
2018	J	`jnl`	Universal Joint Image Clustering and Registration Using Multivariate Information Measures. IEEE J. Sel. Top. Signal Process. Ravi Kiran Raman, Lav R. Varshney
2018	J	`jnl`	Universal and Succinct Source Coding of Deep Neural Networks. CoRR Sourya Basu, Lav R. Varshney
2017	A*	`conf`	A Systems Approach to Computing in Beyond CMOS Fabrics: Invited. DAC 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	Misc	`conf`	A game-theoretic approach to a task delegation problem. ACSSC Donya Ghavidel Dobakhshari, Lav R. Varshney, Vijay Gupta
2017	B	`conf`	Budget-optimal clustering via crowdsourcing. ISIT Ravi Kiran Raman, Lav R. Varshney
2017	J	`jnl`	Capacity of Systems with Queue-Length Dependent Service Quality. IEEE Trans. Inf. Theory Avhishek Chatterjee, Daewon Seo, Lav R. Varshney
2017	—	`conf`	Color-based visual sentiment for social communication. CWIT Mayank Amencherla, Lav R. Varshney
2017	J	`jnl`	Communication over a Channel that Wears Out. CoRR Ting-Yi Wu, Lav R. Varshney, Vincent Y. F. Tan
2017	B	`conf`	Communication over a channel that wears out. ISIT Ting-Yi Wu, Lav R. Varshney, Vincent Y. F. Tan
2017	J	`jnl`	Cost-Performance Tradeoffs in Fusing Unreliable Computational Units. CoRR Mehmet A. Donmez, Maxim Raginsky, Andrew C. Singer, Lav R. Varshney
2017	J	`jnl`	Customer Referral Incentives and Social Media. Manag. Sci. Ilan Lobel, Evan Sadler, Lav R. Varshney
2017	J	`jnl`	Decision Making With Quantized Priors Leads to Discrimination. Proc. IEEE Lav R. Varshney, Kush R. Varshney
2017	J	`jnl`	Dynamic Distributed Storage for Scaling Blockchains. CoRR Ravi Kiran Raman, Lav R. Varshney
2017	Misc	`conf`	Energy-reliability limits in nanoscale neural networks. CISS Avhishek Chatterjee, Lav R. Varshney
2017	J	`jnl`	Foodsheds in Virtual Water Flow Networks: A Spectral Graph Theory Approach. Frontiers ICT Nina Kshetry, Lav R. Varshney
2017	J	`jnl`	Generalized Water-filling for Source-Aware Energy-Efficient SRAMs. CoRR Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag
2017	Misc	`conf`	Illum information. ITA Ravi Kiran Raman, Haizi Yu, Lav R. Varshney
2017	J	`jnl`	Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System. CoRR Shashi Shekhar, Joe Colletti, Francisco Muñoz-Arriola, Lakshmish Ramaswamy, Chandra Krintz, Lav R. Varshney, Debra J. Richardson
2017	J	`jnl`	Multi-Object Classification via Crowdsourcing With a Reject Option. IEEE Trans. Signal Process. Qunwei Li, Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney
2017	J	`jnl`	Performance of LDPC Decoders With Missing Connections. IEEE Trans. Commun. Linjia Chang, Avhishek Chatterjee, Lav R. Varshney
2017	—	`conf`	Probabilistic Rule Realization and Selection. NIPS Haizi Yu, Tianxi Li, Lav R. Varshney
2017	J	`jnl`	Probabilistic Rule Realization and Selection. CoRR Haizi Yu, Tianxi Li, Lav R. Varshney
2017	J	`jnl`	Queuing Approaches to Principal-Agent Communication Under Information Overload. IEEE Trans. Inf. Theory Aseem Sharma, Krishna P. Jagannathan, Lav R. Varshney
2017	J	`jnl`	Skip-Sliding Window Codes. CoRR Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani
2017	J	`jnl`	Sukiyaki in French style: A novel system for transformation of dietary patterns. CoRR Masahiro Kazama, Minami Sugimoto, Chizuru Hosokawa, Keisuke Matsushima, Lav R. Varshney, Yoshiki Ishikawa
2017	B	`conf`	The capacity of injective semi-deterministic two-way channels. ISIT Anas Chaaban, Lav R. Varshney, Mohamed-Slim Alouini
2017	C	`conf`	The first cohort in a new innovation, leadership, and engineering entrepreneurship B. S. degree program. FIE Brooke S. Newell, Lav R. Varshney
2017	—	`conf`	Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music. ICLR (Poster) Haizi Yu, Lav R. Varshney
2017	B	`conf`	Towards optimal quantization of neural networks. ISIT Avhishek Chatterjee, Lav R. Varshney
2017	J	`jnl`	Universal Joint Image Clustering and Registration using Partition Information. CoRR Ravi Kiran Raman, Lav R. Varshney
2017	B	`conf`	Universal Source Coding of Deep Neural Networks. DCC Sourya Basu, Lav R. Varshney
2017	B	`conf`	Universal joint image clustering and registration using partition information. ISIT Ravi Kiran Raman, Lav R. Varshney
2017	J	`jnl`	Work Capacity of Regulated Freelance Platforms: Fundamental Limits and Decentralized Schemes. IEEE/ACM Trans. Netw. Avhishek Chatterjee, Lav R. Varshney, Sriram Vishwanath
2016	Misc	`conf`	Bottleneck capacity of random graphs for connectomics. ICASSP Lav R. Varshney
2016	J	`jnl`	Capacity of Systems with Queue-Length Dependent Service Quality. CoRR Avhishek Chatterjee, Daewon Seo, Lav R. Varshney
2016	C	`conf`	Capacity of systems with queue-length dependent service quality. ISITA Avhishek Chatterjee, Daewon Seo, Lav R. Varshney
2016	—	`conf`	Clustering-based Phonetic Projection in Mismatched Crowdsourcing Channels for Low-resourced ASR. WSSANLP@COLING Wenda Chen, Mark Hasegawa-Johnson, Nancy F. Chen, Preethi Jyothi, Lav R. Varshney
2016	Misc	`conf`	Cost-performance tradeoffs in unreliable computation architectures. ACSSC Mehmet A. Donmez, Maxim Raginsky, Andrew C. Singer, Lav R. Varshney
2016	Misc	`conf`	Distributed estimation via paid crowd work. ICASSP Song Jianhan, Vei Wang Isaac Phua, Lav R. Varshney
2016	J	`jnl`	Efficient and Flexible Crowdsourcing of Specialized Tasks with Precedence Constraints. CoRR Avhishek Chatterjee, Michael Borokhovich, Lav R. Varshney, Sriram Vishwanath
2016	A*	`conf`	Efficient and flexible crowdsourcing of specialized tasks with precedence constraints. INFOCOM Avhishek Chatterjee, Michael Borokhovich, Lav R. Varshney, Sriram Vishwanath
2016	J	`jnl`	Energy-Reliability Limits in Nanoscale Circuits. CoRR Avhishek Chatterjee, Lav R. Varshney
2016	Misc	`conf`	Energy-reliability limits in nanoscale circuits. ITA Avhishek Chatterjee, Lav R. Varshney
2016	—	`conf`	Estimating the number of infection sources in a tree. GlobalSIP Feng Ji, Wee Peng Tay, Lav R. Varshney
2016	Misc	`conf`	Fidelity loss in distribution-preserving anonymization and histogram equalization. CISS Lav R. Varshney, Kush R. Varshney
2016	J	`jnl`	Fundamental Limits of Data Analytics in Sociotechnical Systems. Frontiers ICT Lav R. Varshney
2016	—	`conf`	Information-theoretic limits of algorithmic noise tolerance. ICRC Daewon Seo, Lav R. Varshney
2016	B	`conf`	LDPC decoders with missing connections. ISIT Linjia Chang, Avhishek Chatterjee, Lav R. Varshney
2016	Misc	`conf`	Language coverage for mismatched crowdsourcing. ITA Lav R. Varshney, Preethi Jyothi, Mark Hasegawa-Johnson
2016	J	`jnl`	Learning Interpretable Musical Compositional Rules and Traces. CoRR Haizi Yu, Lav R. Varshney, Guy E. Garnett, Ranjitha Kumar
2016	J	`jnl`	Malleable Coding for Updatable Cloud Caching. IEEE Trans. Commun. Lav R. Varshney, Julius Kusuma, Vivek K. Goyal
2016	J	`jnl`	Multi-object Classification via Crowdsourcing with a Reject Option. CoRR Qunwei Li, Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney
2016	J	`jnl`	Olfactory signal processing. Digit. Signal Process. Kush R. Varshney, Lav R. Varshney
2016	J	`jnl`	On Palimpsests in Neural Memory: An Information Theory Viewpoint. IEEE Trans. Mol. Biol. Multi Scale Commun. Lav R. Varshney, Julius Kusuma, Vivek K. Goyal
2016	J	`jnl`	Performance of LDPC Decoders with Missing Connections. CoRR Linjia Chang, Avhishek Chatterjee, Lav R. Varshney
2016	J	`jnl`	Queuing Approaches to Principal-Agent Communication under Information Overload. CoRR Aseem Sharma, Krishna P. Jagannathan, Lav R. Varshney
2016	B	`conf`	Subblock energy-constrained codes for simultaneous energy and information transfer. ISIT Anshoo Tandon, Mehul Motani, Lav R. Varshney
2016	J	`jnl`	Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer. IEEE Trans. Inf. Theory Anshoo Tandon, Mehul Motani, Lav R. Varshney
2016	J	`jnl`	Universal Clustering via Crowdsourcing. CoRR Ravi Kiran Raman, Lav R. Varshney
2015	J	`jnl`	A Perspective on Future Research Directions in Information Theory. CoRR Jeffrey G. Andrews, Alexandros G. Dimakis, Lara Dolecek, Michelle Effros, Muriel Médard, Olgica Milenkovic, Andrea Montanari, Sriram Vishwanath, Edmund M. Yeh, Randall Berry, Ken R. Duffy, Soheil Feizi, Saul Kato, Manolis Kellis, Stuart Licht, Jon Sorenson, Lav R. Varshney, Haris Vikalo
2015	B	`conf`	CEO problem for belief sharing. ITW Aditya Vempaty, Lav R. Varshney
2015	J	`jnl`	Communication Strategies for Low-Latency Trading. CoRR Mina Karzand, Lav R. Varshney
2015	B	`conf`	Communication strategies for low-latency trading. ISIT Mina Karzand, Lav R. Varshney
2015	A*	`conf`	Customer Referral Incentives and Social Media. EC Ilan Lobel, Evan Sadler, Lav R. Varshney
2015	—	`conf`	Decision fusion by people: Experiments, models, and sociotechnical system design. GlobalSIP Aditya Vempaty, Lav R. Varshney, Gregory J. Koop, Amy H. Criss, Pramod K. Varshney
2015	B	`conf`	Real-time simultaneous energy and information transfer. ISIT Anshoo Tandon, Mehul Motani, Lav R. Varshney
2015	J	`jnl`	Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer. CoRR Anshoo Tandon, Mehul Motani, Lav R. Varshney
2015	J	`jnl`	The Non-Regular CEO Problem. IEEE Trans. Inf. Theory Aditya Vempaty, Lav R. Varshney
2015	—	`conf`	Toward limits of constructing reliable memories from unreliable components. ITW Fall Lav R. Varshney
2015	J	`jnl`	Work Capacity of Freelance Markets: Fundamental Limits and Decentralized Schemes. CoRR Avhishek Chatterjee, Lav R. Varshney, Sriram Vishwanath
2015	A*	`conf`	Work capacity of freelance markets: Fundamental limits and decentralized schemes. INFOCOM Avhishek Chatterjee, Lav R. Varshney, Sriram Vishwanath
2014	—	`conf`	Active odor cancellation. SSP Kush R. Varshney, Lav R. Varshney
2014	B	`conf`	An Information-Theoretic View of Cloud Workloads. IC2E Lav R. Varshney, Krishna C. Ratakonda
2014	Misc	`conf`	Assuring privacy and reliability in crowdsourcing with coding. ITA Lav R. Varshney, Aditya Vempaty, Pramod K. Varshney
2014	Misc	`conf`	Coding theory for reliable signal processing. ICNC Aditya Vempaty, Yunghsiang S. Han, Lav R. Varshney, Pramod K. Varshney
2014	J	`jnl`	Cognitive Coordination of Global Service Delivery. CoRR Lav R. Varshney, Shivali Agarwal, Yi-Min Chee, Renuka Sindhgatta, Daniel V. Oppenheim, Juhnyoung Lee, Krishna Ratakonda
2014	—	`conf`	Computational creativity for culinary recipes. CHI Extended Abstracts Florian Pinel, Lav R. Varshney
2014	—	`conf`	Constant subblock composition codes for simultaneous energy and information transfer. SECON Workshops Anshoo Tandon, Mehul Motani, Lav R. Varshney
2014	C	`conf`	Exploring Application Domains for Computational Creativity. ICCC Ashish Jagmohan, Ying Li, Nan Shao, Anshul Sheopuri, Dashun Wang, Lav R. Varshney, Pu Huang
2014	—	`conf`	FOOD steganography with olfactory white. SSP Kush R. Varshney, Lav R. Varshney
2014	B	`conf`	Information overload and human priority queuing. ISIT Aseem Sharma, Krishna P. Jagannathan, Lav R. Varshney
2014	J	`jnl`	Noise Facilitation in Associative Memories of Exponential Capacity. CoRR Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi, Lav R. Varshney
2014	J	`jnl`	Noise Facilitation in Associative Memories of Exponential Capacity. Neural Comput. Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi, Lav R. Varshney
2014	J	`jnl`	Noise-Enhanced Information Systems. Proc. IEEE Hao Chen, Lav R. Varshney, Pramod K. Varshney
2014	J	`jnl`	Olfactory Signals and Systems. CoRR Kush R. Varshney, Lav R. Varshney
2014	Misc	`conf`	On code design for simultaneous energy and information transfer. ITA Anshoo Tandon, Mehul Motani, Lav R. Varshney
2014	J	`jnl`	Optimal Grouping for Group Minimax Hypothesis Testing. IEEE Trans. Inf. Theory Kush R. Varshney, Lav R. Varshney
2014	J	`jnl`	Reliable Crowdsourcing for Multi-Class Labeling Using Coding Theory. IEEE J. Sel. Top. Signal Process. Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney
2014	J	`jnl`	The Non-Regular CEO Problem. CoRR Aditya Vempaty, Lav R. Varshney
2014	—	`ch.`	Work as a Service. Advanced Web Services Daniel V. Oppenheim, Lav R. Varshney, Yi-Min Chee
2013	J	`jnl`	A Big Data Approach to Computational Creativity. CoRR Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee
2013	—	`conf`	Cognition as a part of computational creativity. ICCI*CC Lav R. Varshney, Florian Pinel, Kush R. Varshney, Angela Schörgendorfer, Yi-Min Chee
2013	—	`ch.`	Distributed Decision Making by Categorically-Thinking Agents. Decision Making and Imperfection Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal
2013	B	`conf`	Efficient multifaceted screening of job applicants. EDBT Sameep Mehta, Rakesh Pimplikar, Amit Singh, Lav R. Varshney, Karthik Visweswariah
2013	J	`jnl`	Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data. CoRR Kush R. Varshney, Lav R. Varshney, Jun Wang, Daniel Myers
2013	—	`conf`	Noise-Enhanced Associative Memories. NIPS Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi, Lav R. Varshney
2013	J	`jnl`	Optimal Grouping for Group Minimax Hypothesis Testing. CoRR Kush R. Varshney, Lav R. Varshney
2013	B	`conf`	Quantization Games on Networks. DCC Ankur Mani, Lav R. Varshney, Alex Pentland
2013	J	`jnl`	Reliable Crowdsourcing for Multi-Class Labeling using Coding Theory. CoRR Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney
2013	Misc	`conf`	Reliable classification by unreliable crowds. ICASSP Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney
2013	J	`jnl`	The Wiring Economy Principle for Designing Inference Networks. IEEE J. Sel. Areas Commun. Lav R. Varshney
2013	B	`conf`	To surprise and inform. ISIT Lav R. Varshney
2013	B	`conf`	Two way communication over exponential family type channels. ISIT Lav R. Varshney
2012	—	`conf`	Allegro: A Metrics Framework for Globally Distributed Service Delivery. SRII Global Conference Daniel V. Oppenheim, Yi-Min Chee, Lav R. Varshney
2012	J	`jnl`	An Information-Theoretic Characterization of Channels That Die. IEEE Trans. Inf. Theory Lav R. Varshney, Sanjoy K. Mitter, Vivek K. Goyal
2012	—	`conf`	Benefits of collaboration and diversity in teams of categorically-thinking decision makers. SAM Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal
2012	B	`conf`	On energy/information cross-layer architectures. ISIT Lav R. Varshney
2012	—	`conf`	Participation in crowd systems. Allerton Conference Lav R. Varshney
2012	—	`conf`	Privacy and Reliability in Crowdsourcing Service Delivery. SRII Global Conference Lav R. Varshney
2012	J	`jnl`	Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing. IEEE Trans. Signal Process. Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal
2012	Misc	`conf`	Securing inductively-coupled communication. ITA Lav R. Varshney, Pulkit Grover, Anant Sahai
2012	J	`jnl`	The Google effect in doctoral theses. Scientometrics Lav R. Varshney
2012	—	`conf`	The WaaSaBE Model: Marrying WaaS and Business-Entities to Support Cross-Organization Collaboration. SRII Global Conference Lior Limonad, Lav R. Varshney, Daniel V. Oppenheim, Elad Fein, Pnina Soffer, Yair Wand, Moran Gavish, Ateret Anaby-Tavor
2012	J	`jnl`	Toward a Comparative Cognitive History: Archimedes and D. H. J. Polymath CoRR Lav R. Varshney
2012	—	`conf`	Work as a Service Meta-model and Protocol for Adjustable Visibility, Coordination, and Control. SRII Global Conference Roman Vaculín, Yi-Min Chee, Daniel V. Oppenheim, Lav R. Varshney
2011	Misc	`conf`	Categorical decision making by people, committees, and crowds. ITA Lav R. Varshney, Joong Bum Rhim, Kush R. Varshney, Vivek K. Goyal
2011	J	`jnl`	Channels That Die CoRR Lav R. Varshney, Sanjoy K. Mitter, Vivek K. Goyal
2011	B	`conf`	Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities. DCC Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal
2011	B	`conf`	Conflict in Distributed Hypothesis Testing with Quantized Prior Probabilities. DCC Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal
2011	J	`jnl`	Distributed Scalar Quantization for Computing: High-Resolution Analysis and Extensions. IEEE Trans. Inf. Theory Vinith Misra, Vivek K. Goyal, Lav R. Varshney
2011	—	`conf`	Informational limits of neural circuits. Allerton Lav R. Varshney, Devavrat Shah
2011	B	`conf`	Malleable coding with fixed segment reuse. ISIT Julius Kusuma, Lav R. Varshney, Vivek K. Goyal
2011	—	`conf`	Neural Reconstruction with Approximate Message Passing (NeuRAMP). NIPS Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney, Aniruddha Bhargava
2011	A	`conf`	On Cross-Enterprise Collaboration. BPM Lav R. Varshney, Daniel V. Oppenheim
2011	J	`jnl`	Performance of LDPC Codes Under Faulty Iterative Decoding. IEEE Trans. Inf. Theory Lav R. Varshney
2011	J	`jnl`	Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing CoRR Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal
2011	J	`jnl`	Sensitivity of Quadratic Gaussian Matching to Interference. IEEE Commun. Lett. Lav R. Varshney, Sanjoy K. Mitter
2011	J	`jnl`	Structural Properties of the PLoS Comput. Biol. Lav R. Varshney, Beth L. Chen, Eric Paniagua, David H. Hall, Dmitri B. Chklovskii
2011	A	`conf`	Work as a Service. ICSOC Daniel V. Oppenheim, Lav R. Varshney, Yi-Min Chee
2010	J	`jnl`	Concentric Permutation Source Codes. IEEE Trans. Commun. Ha Q. Nguyen, Lav R. Varshney, Vivek K. Goyal
2010	C	`conf`	Distributed inference networks with costly wires. ACC Lav R. Varshney
2010	Misc	`conf`	Frame permutation quantization. CISS Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney
2010	—	`—`	Unreliable and resource-constrained decoding. Lav R. Varshney
2009	—	`conf`	Channels that die. Allerton Lav R. Varshney, Sanjoy K. Mitter, Vivek K. Goyal
2009	J	`jnl`	Concentric Permutation Source Codes CoRR Ha Q. Nguyen, Lav R. Varshney, Vivek K. Goyal
2009	J	`jnl`	Frame Permutation Quantization CoRR Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney
2009	B	`conf`	Malleable coding with edit-distance cost. ISIT Lav R. Varshney, Julius Kusuma, Vivek K. Goyal
2009	B	`conf`	On concentric spherical codes and permutation codes with multiple initial codewords. ISIT Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney
2008	J	`jnl`	Distributed Functional Scalar Quantization: High-Resolution Analysis and Extensions CoRR Vinith Misra, Vivek K. Goyal, Lav R. Varshney
2008	B	`conf`	High-Resolution Functional Quantization. DCC Vinith Misra, Vivek K. Goyal, Lav R. Varshney
2008	J	`jnl`	Malleable Coding with Fixed Segment Reuse CoRR Julius Kusuma, Lav R. Varshney, Vivek K. Goyal
2008	J	`jnl`	Malleable Coding: Compressed Palimpsests CoRR Lav R. Varshney, Julius Kusuma, Vivek K. Goyal
2008	B	`conf`	Meeting Shannon: Information-theoretic thinking in engineering and science. ITW Lav R. Varshney
2008	Misc	`conf`	Minimum mean bayes risk error quantization of prior probabilities. ICASSP Kush R. Varshney, Lav R. Varshney
2008	J	`jnl`	Performance of LDPC Codes Under Faulty Iterative Decoding CoRR Lav R. Varshney
2008	J	`jnl`	Quantization of Prior Probabilities for Hypothesis Testing CoRR Kush R. Varshney, Lav R. Varshney
2008	J	`jnl`	Quantization of Prior Probabilities for Hypothesis Testing. IEEE Trans. Signal Process. Kush R. Varshney, Lav R. Varshney
2008	B	`conf`	Transporting information and energy simultaneously. ISIT Lav R. Varshney
2007	J	`jnl`	Benefiting from Disorder: Source Coding for Unordered Data CoRR Lav R. Varshney, Vivek K. Goyal
2006	B	`conf`	Toward a Source Coding Theory for Sets. DCC Lav R. Varshney, Vivek K. Goyal