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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 

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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 

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GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning


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


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Nonstationary Reinforcement Learning with Linear Function Approximation


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


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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 

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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 

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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


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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


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


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


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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 

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Limits of Detecting Text Generated by Large-Scale Language Models


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

* ITA 2020 

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Short and Wide Network Paths


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


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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


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CTRL: A Conditional Transformer Language Model for Controllable Generation


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


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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 

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Boosting Classifiers with Noisy Inference


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


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Pretrained AI Models: Performativity, Mobility, and Change


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


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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


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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) 

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Limits of Deepfake Detection: A Robust Estimation Viewpoint


May 09, 2019
Sakshi Agarwal, Lav R. Varshney


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A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering


Jul 30, 2018
Haizi Yu, Igor Mineyev, Lav R. Varshney


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A neural network system for transformation of regional cuisine style


Jun 25, 2018
Masahiro Kazama, Minami Sugimoto, Chizuru Hosokawa, Keisuke Matsushima, Lav R. Varshney, Yoshiki Ishikawa


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Universal and Succinct Source Coding of Deep Neural Networks


Apr 09, 2018
Sourya Basu, Lav R. Varshney


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Probabilistic Rule Realization and Selection


Mar 09, 2018
Haizi Yu, Tianxi Li, Lav R. Varshney


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