Varshney, Lav R.

25 publications

TMLR 2025 Cross-Lingual Transfer in Programming Languages: An Extensive Empirical Study Razan Baltaji, Saurabh Pujar, Martin Hirzel, Louis Mandel, Luca Buratti, Lav R. Varshney

ICML 2025 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 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 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. M. Fuller, Ruchir Puri

NeurIPS 2025 Many LLMs Are More Utilitarian than One Anita Keshmirian, Razan Baltaji, Babak Hemmatian, Hadi Asghari, Lav R. Varshney

NeurIPSW 2024 An Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models Anuj K. Nayak, Lav R. Varshney

TMLR 2024 Efficient Model-Agnostic Multi-Group Equivariant Networks Razan Baltaji, Sourya Basu, Lav R. Varshney

JMLR 2023 A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering Haizi Yu, Igor Mineyev, Lav R. Varshney

ICMLW 2023 Designing Discontinuities Ibtihal Ferwana, Suyong Park, Ting-Yi Wu, Lav R. Varshney

NeurIPS 2023 Efficient Equivariant Transfer Learning from Pretrained Models Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs-Campbell, Payel Das, Lav R. Varshney

AAAI 2023 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

JAIR 2023 Information Lattice Learning Haizi Yu, James A. Evans, Lav R. Varshney

AAAI 2023 Learning Optimal Features via Partial Invariance Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney

ICMLW 2023 Transformers Are Universal Predictors Sourya Basu, Moulik Choraria, Lav R. Varshney

ICLRW 2022 Gauge Equivariant Deep Q-Learning on Discrete Manifolds Sourya Basu, Pulkit Katdare, Katherine Rose Driggs-Campbell, Lav R. Varshney

TMLR 2022 Nonstationary Reinforcement Learning with Linear Function Approximation Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan

NeurIPSW 2021 Advanced Methods for Connectome-Based Predictive Modeling of Human Intelligence: A Novel Approach Based on Individual Differences in Cortical Topography Evan Anderson, Ramsey Wilcox, Anuj Nayak, Christopher Zwilling, Pablo Robles-Granda, Lav R. Varshney, Been Kim, Aron Barbey

AAAI 2021 Adversarial Linear Contextual Bandits with Graph-Structured Side Observations Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao

ICLR 2021 BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Rajani

NeurIPS 2021 Evaluating State-of-the-Art Classification Models Against Bayes Optimality Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher

ICLR 2021 Mirostat: A Neural Text Decoding Algorithm That Directly Controls Perplexity Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney

AAAI 2020 A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim

ICMLW 2020 Optimal Recovery of Missing Values for Non-Negative Matrix Factorization: A Probabilistic Error Bound Rebecca Chen, Lav R. Varshney

NeurIPS 2017 Probabilistic Rule Realization and Selection Haizi Yu, Tianxi Li, Lav R. Varshney

ICLR 2017 Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music Haizi Yu, Lav R. Varshney

NeurIPS 2013 Noise-Enhanced Associative Memories Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi, Lav R. Varshney

NeurIPS 2011 Neural Reconstruction with Approximate Message Passing (NeuRAMP) Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney, Aniruddha Bhargava