Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Lav R. Varshney

Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering


Sep 03, 2021
Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau

* 29 pages, 8 figures, Submitted to IEEE Transactions on Signal Processing 

  Access Paper or Ask Questions

Evaluating State-of-the-Art Classification Models Against Bayes Optimality


Jun 07, 2021
Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher


  Access Paper or Ask Questions

Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning


Apr 10, 2021
Sourya Basu, Akshayaa Magesh, Harshit Yadav, Lav R. Varshney


  Access Paper or Ask Questions

Wireless Network Coding with Intelligent Reflecting Surfaces


Mar 22, 2021
Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed-Slim Alouini


  Access Paper or Ask Questions

Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing


Jan 13, 2021
Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini

* Overview paper submitted for publication 

  Access Paper or Ask Questions

Adversarial Linear Contextual Bandits with Graph-Structured Side Observations


Dec 28, 2020
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao

* Accepted by AAAI2021 

  Access Paper or Ask Questions

GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning


Dec 07, 2020
Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong


  Access Paper or Ask Questions

Nonstationary Reinforcement Learning with Linear Function Approximation


Oct 15, 2020
Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan


  Access Paper or Ask Questions

Explaining Creative Artifacts


Oct 14, 2020
Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher

* 2020 Workshop on Human Interpretability in Machine Learning (WHI), at ICML 2020 

  Access Paper or Ask Questions

Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm


Jul 29, 2020
Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney

* 18 pages, 8 figures 

  Access Paper or Ask Questions

BERTology Meets Biology: Interpreting Attention in Protein Language Models


Jul 13, 2020
Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani


  Access Paper or Ask Questions

Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding


Apr 30, 2020
Samson Tan, Shafiq Joty, Lav R. Varshney, Min-Yen Kan


  Access Paper or Ask Questions

Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge


Apr 15, 2020
Haizi Yu, Heinrich Taube, James A. Evans, Lav R. Varshney


  Access Paper or Ask Questions

RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System


Mar 05, 2020
Helena H. Lee, Ke Shu, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney

* Accepted to WWW 2020. Demo track paper 

  Access Paper or Ask Questions

Limits of Detecting Text Generated by Large-Scale Language Models


Feb 09, 2020
Lav R. Varshney, Nitish Shirish Keskar, Richard Socher

* ITA 2020 

  Access Paper or Ask Questions

Short and Wide Network Paths


Nov 01, 2019
Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale


  Access Paper or Ask Questions

Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits


Oct 07, 2019
Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao


  Access Paper or Ask Questions

CTRL: A Conditional Transformer Language Model for Controllable Generation


Sep 20, 2019
Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher


  Access Paper or Ask Questions

Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning


Sep 17, 2019
Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney

* To appear in the Proceedings of Digital Public Health 2019 as short paper 

  Access Paper or Ask Questions

Boosting Classifiers with Noisy Inference


Sep 10, 2019
Yongjune Kim, Yuval Cassuto, Lav R. Varshney


  Access Paper or Ask Questions

Pretrained AI Models: Performativity, Mobility, and Change


Sep 07, 2019
Lav R. Varshney, Nitish Shirish Keskar, Richard Socher


  Access Paper or Ask Questions

A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits


Aug 29, 2019
Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim


  Access Paper or Ask Questions

Accelerated Discovery of Sustainable Building Materials


May 20, 2019
Xiou Ge, Richard T. Goodwin, Jeremy R. Gregory, Randolph E. Kirchain, Joana Maria, Lav R. Varshney

* Presented at AAAI 2019 Spring Symposium, Towards AI for Collaborative Open Science (TACOS) 

  Access Paper or Ask Questions

Limits of Deepfake Detection: A Robust Estimation Viewpoint


May 09, 2019
Sakshi Agarwal, Lav R. Varshney


  Access Paper or Ask Questions