Lav R. Varshney

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 236

Top Venues

CoRR

ISIT

IEEE Trans. Commun.

IEEE Trans. Inf. Theory

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Xinbo Wu, Max Hartman, Vidhata Arjun Jayaraman, Lav R. Varshney
SwitchCIT: Switching for Continual Instruction Tuning of Large Language Models. CoRR (2024)
Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney
Federated Learning via Lattice Joint Source-Channel Coding. CoRR (2024)
Razan Baltaji, Babak Hemmatian, Lav R. Varshney
Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration. CoRR (2024)
Austin R. Ellis-Mohr, Lav R. Varshney
Directed Information Flow in Computing Systems with Living Neurons. ISIT (Workshops) (2024)
Xi Cheng, Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney
On Carsharing Platforms With Electric Vehicles as Energy Service Providers. IEEE Trans. Intell. Transp. Syst. 25 (7) (2024)
Anuj K. Nayak, Eric Chitambar, Lav R. Varshney
Reliable Quantum Memories with Unreliable Components. CoRR (2024)
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
Artificial Intelligence, Social Responsibility, and the Roles of the University. Commun. ACM 67 (8) (2024)
Anant Naik, Paul M. Arnold, Lav R. Varshney
Modeling Clinical Symptoms of Cognitive Decline in Neurodegenerative Disease as Faulty Computing. ISIT (Workshops) (2024)
Xinbo Wu, Lav R. Varshney
A Meta-Learning Perspective on Transformers for Causal Language Modeling. ACL (Findings) (2024)
Xinbo Wu, Lav R. Varshney
Transformer-based Causal Language Models Perform Clustering. CoRR (2024)
Haizi Yu, Lav R. Varshney
Semantic Compression with Information Lattice Learning. ISIT (Workshops) (2024)
Haizi Yu, Lav R. Varshney
Semantic Compression with Information Lattice Learning. CoRR (2024)
Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney, Abhishek K. Umrawal
Fractional Budget Allocation for Influence Maximization under General Marketing Strategies. CoRR (2024)
Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. AAAI (2023)
Haizi Yu, Igor Mineyev, Lav R. Varshney
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering. J. Mach. Learn. Res. 24 (2023)
Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney
Learning Optimal Features via Partial Invariance. CoRR (2023)
Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs Campbell, Payel Das, Lav R. Varshney
Efficient Equivariant Transfer Learning from Pretrained Models. NeurIPS (2023)
Kush R. Varshney, Lav R. Varshney
A Banal Account of a Safety-Creativity Tradeoff in Generative AI 163-165. IUI Workshops (2023)
Xinbo Wu, Lav R. Varshney
A Meta-Learning Perspective on Transformers for Causal Language Modeling. CoRR (2023)
Bishal Kumar Das, Lav R. Varshney, Vaibhav Madhok
On Simultaneous Information and Energy Transmission through Quantum Channels. CoRR (2023)
Ian George, Xinan Chen, Lav R. Varshney
Search for Extraterrestrial Intelligence as One-Shot Hypothesis Testing. CISS (2023)
Alayt Issak, Lav R. Varshney
Prompt Programming for the Visual Domain. Tiny Papers @ ICLR (2023)
Haizi Yu, James A. Evans, Lav R. Varshney
Information Lattice Learning. J. Artif. Intell. Res. 77 (2023)
Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney
Learning Optimal Features via Partial Invariance. AAAI (2023)
Razan Baltaji, Saurabh Pujar, Louis Mandel, Martin Hirzel, Luca Buratti, Lav R. Varshney
Learning Transfers over Several Programming Languages. CoRR (2023)
Razan Baltaji, Sourya Basu, Lav R. Varshney
Efficient Model-Agnostic Multi-Group Equivariant Networks. CoRR (2023)
Yongjune Kim, Junyoung Shin, Yuval Cassuto, Lav R. Varshney
Distributed Boosting Classification Over Noisy Communication Channels. IEEE J. Sel. Areas Commun. 41 (1) (2023)
Ibtihal Ferwana, Suyoung Park, Ting-Yi Wu, Lav R. Varshney
Designing Discontinuities. CoRR (2023)
Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney
Dynamic Resource Allocation to Minimize Concave Costs of Shortfalls. IEEE Control. Syst. Lett. 7 (2023)
Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Rose Driggs-Campbell, Payel Das, Lav R. Varshney
Equivariant Few-Shot Learning from Pretrained Models. CoRR (2023)
Babak Hemmatian, Razan Baltaji, Lav R. Varshney
Muslim-Violence Bias Persists in Debiased GPT Models. CoRR (2023)
Sourya Basu, Moulik Choraria, Lav R. Varshney
Transformers are Universal Predictors. CoRR (2023)
Xiou Ge, Sarah E. Brown, Pushpendra Rana, Lav R. Varshney, Daniel C. Miller
Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India. CoRR (2023)
Akhil Bhimaraju, S. Rasoul Etesami, Lav R. Varshney
Dynamic Batching of Online Arrivals to Leverage Economies of Scale. CoRR (2023)
Moulik Choraria, Nitesh Sekhar, Yue Wu, Xu Zhang, Prateek Singhal, Lav R. Varshney
Language Grounded QFormer for Efficient Vision Language Understanding. CoRR (2023)
Sourya Basu, Lav R. Varshney
Universal and Succinct Source Coding of Deep Neural Networks. IEEE J. Sel. Areas Inf. Theory 3 (4) (2022)
Sourya Basu, Daewon Seo, Lav R. Varshney
Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion. IEEE J. Sel. Areas Inf. Theory 3 (4) (2022)
Sourya Basu, Daewon Seo, Lav R. Varshney
Hypergraph-based Source Codes for Function Computation Under Maximal Distortion. CoRR (2022)
Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. CoRR (2022)
Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney
Expected Extinction Times of Epidemics With State-Dependent Infectiousness. IEEE Trans. Netw. Sci. Eng. 9 (3) (2022)
Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. CoRR (2022)
Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale
Short and Wide Network Paths. IEEE Trans. Netw. Sci. Eng. 9 (2) (2022)
Akhil Bhimaraju, Lav R. Varshney
Scheduling Group Tests over Time. ISIT (2022)
Babak Hemmatian, Lav R. Varshney
Debiased Large Language Models Still Associate Muslims with Uniquely Violent Acts. CoRR (2022)
Payel Das, Lav R. Varshney
Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts. IEEE Signal Process. Mag. 39 (4) (2022)
Haizi Yu, Igor Mineyev, Lav R. Varshney, James A. Evans
Learning from One and Only One Shot. CoRR (2022)
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 Kwiat, Bo Li, Negar Mehr, Ravish Mehra, Andrew Miller, Daniela Rus, Alexander G. Schwing, Anshumali Shrivastava
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. CoRR (2022)
Sam Spencer, Lav R. Varshney
Awareness-Constrained Discrete Choice in Multilayer Network Formation and Evolution. IEEECONF (2022)
Xinbo Wu, Alexandru Hanganu, Ayuko Hoshino, Lav R. Varshney
Source Identification for Exosomal Communication via Protein Language Models. MLSP (2022)
Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. COMPASS (2022)
Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors 22 (3) (2022)
Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan
Nonstationary Reinforcement Learning with Linear Function Approximation. Trans. Mach. Learn. Res. 2022 (2022)
Alayt Issak, Lav R. Varshney
Artistic Autonomy in AI Art. ICCC (2022)
Sourya Basu, Akshayaa Magesh, Harshit Yadav, Lav R. Varshney
Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning. CoRR (2021)
Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed-Slim Alouini
Wireless Network Coding With Intelligent Reflecting Surfaces. IEEE Commun. Lett. 25 (10) (2021)
Pankaj Sharma, Lav R. Varshney
Rational Inattention in Choice Overload: Clustering for Discrete Choices. ACSCC (2021)
Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing. CoRR (2021)
Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao
Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. ICASSP (2021)
Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. CoRR (2021)
Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini
Guest Editoral Signal Processing Advances in Wireless Transmission of Information and Power. IEEE J. Sel. Top. Signal Process. 15 (5) (2021)
Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. CoRR (2021)
Haizi Yu, James A. Evans, Donna Gallo, Adam Kruse, William M. Patterson, Lav R. Varshney
AI-Aided Co-Creation for Wellbeing. ICCC (2021)
Daewon Seo, Lav R. Varshney
The CEO Problem With rth Power of Difference and Logarithmic Distortions. IEEE Trans. Inf. Theory 67 (6) (2021)
Ankur Mani, Lav R. Varshney, Alex Pentland
Quantization Games on Social Networks and Language Evolution. IEEE Trans. Signal Process. 69 (2021)
Haizi Yu, Igor Mineyev, Lav R. Varshney
. SIAM J. Appl. Algebra Geom. 5 (3) (2021)
Sam Spencer, Lav R. Varshney
Social Bubbles and Superspreaders: Source Identification for Contagion Processes on Hypertrees. SSP (2021)
Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS (2021)
Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed-Slim Alouini
Wireless Network Coding with Intelligent Reflecting Surfaces. CoRR (2021)
Ravi Kiran Raman, Lav R. Varshney
Coding for Scalable Blockchains via Dynamic Distributed Storage. IEEE/ACM Trans. Netw. 29 (6) (2021)
Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney
Mean Extinction Times of Epidemics with State-Dependent Infectiousness. CoRR (2021)
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
The Twelvefold Way of Non-Sequential Lossless Compression. DCC (2021)
Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. AIES (2021)
Elsa Dupraz, Lav R. Varshney, François Leduc-Primeau
Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. ITW (2021)
Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing. IEEE J. Sel. Top. Signal Process. 15 (5) (2021)
Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney
Mirostat: a Neural Text decoding Algorithm that directly controls perplexity. ICLR (2021)
Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney
Balancing Fairness and Robustness via Partial Invariance. CoRR (2021)
Ian George, Xinan Chen, Lav R. Varshney
Limits of Detecting Extraterrestrial Civilizations. CoRR (2021)
Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani
Skip-Sliding Window Codes. IEEE Trans. Commun. 69 (5) (2021)
Venkata Sriram Siddhardh Nadendla, Lav R. Varshney
A Predicament in Securing Blockchain Consensus via Controlling Cryptopuzzle Difficulty. IEEE ICBC (2021)
Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani
BERTology Meets Biology: Interpreting Attention in Protein Language Models. ICLR (2021)
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. AAAI (2021)
Daewon Seo, Ravi Kiran Raman, Lav R. Varshney
Decision Making in Star Networks With Incorrect Beliefs. IEEE Trans. Signal Process. 69 (2021)
Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. CoRR (2020)
Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. CoRR (2020)
Ankur Mani, Lav R. Varshney, Alex Pentland
Quantization Games on Social Networks and Language Evolution. CoRR (2020)
Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney
Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm. CoRR (2020)
Yongjune Kim, Yuval Cassuto, Lav R. Varshney
Distributed Boosting Classifiers over Noisy Channels. ACSSC (2020)
Ravi Kiran Raman, Lav R. Varshney
Registration of Finite Resolution Images: a Second-order Analysis. ISIT (2020)
Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani
BERTology Meets Biology: Interpreting Attention in Protein Language Models. CoRR (2020)
Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan
Nonstationary Reinforcement Learning with Linear Function Approximation. CoRR (2020)
Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney
Bee-Identification Error Exponent with Absentee Bees. ISIT (2020)
Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding. EMNLP (1) (2020)
Lav R. Varshney
Limits Theorems for Creativity with Intentionality. ICCC (2020)
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. CoRR (2020)
Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. WWW (Companion Volume) (2020)
Daewon Seo, Ravi Kiran Raman, Lav R. Varshney
Social Learning with Beliefs in a Parallel Network. ISIT (2020)
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
The Twelvefold Way of Non-Sequential Lossless Compression. CoRR (2020)
Avhishek Chatterjee, Lav R. Varshney
Energy-Reliability Limits in Nanoscale Feedforward Neural Networks and Formulas. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Ting-Yi Wu, Anshoo Tandon, Mehul Motani, Lav R. Varshney
Outage-Constrained Rate of Skip-Sliding Window Codes. IEEE Trans. Green Commun. Netw. 4 (2) (2020)
Donya Ghavidel Dobakhshari, Lav R. Varshney, Vijay Gupta
A Game-Theoretic Approach to a Task Delegation Problem. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lav R. Varshney