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Payel Das

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IBM Research

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Dr. Payel Das is a Research Staff Member and manager in the AI Science Department of IBM Thomas J Watson Research Center in Yorktown Heights, NY. She is also an adjunct associate professor at the department of Applied Physics and Applied Mathematics (APAM), Columbia University

Papers81 papers

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Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets

Mingrui Liu,Youssef Mroueh, Jerret Ross,Wei Zhang,Xiaodong Cui,Payel Das,Tianbao Yang

ICLR, (2020)

Cited by9EIBibtex

Reprogramming Language Models for Molecular Representation Learning

Ria Vinod,Pin-Yu Chen,Payel Das

Bibtex

Optimizing Molecules using Efficient Queries from Property Evaluations

Samuel Hoffman,Vijil Chenthamarakshan, Kahini Wadhawan,Pin-Yu Chen,Payel Das

Bibtex

DualTKB: A Dual Learning Bridge between Text and Knowledge Base

Pierre L. Dognin,Igor Melnyk,Inkit Padhi,Cicero Nogueira dos Santos,Payel Das

empirical methods in natural language processing, pp.8605-8616, (2020)

Bibtex

DualTKB: A Dual Learning Bridge between Text and Knowledge Base

Pierre Dognin,Igor Melnyk,Inkit Padhi,Cícero Nogueira dos Santos,Payel Das

EMNLP 2020, pp.8605-8616, (2020)

Bibtex

A Decentralized Parallel Algorithm for Training Generative Adversarial Nets

Mingrui Liu,Wei Zhang,Youssef Mroueh,Xiaodong Cui, Jarret Ross,Tianbao Yang,Payel Das

NIPS 2020, (2020)

EIBibtex

Optimizing Mode Connectivity via Neuron Alignment

N. Joseph Tatro,Pin-Yu Chen,Payel Das,Igor Melnyk,Prasanna Sattigeri,Rongjie Lai

NIPS 2020, (2020)

EIBibtex

Toward a neuro-inspired creative decoder

Payel Das, Brian Quanz,Pin-Yu Chen,Jae-wook Ahn, Dhruv Shah

IJCAI, pp.2746-2753, (2020)

EIBibtex

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics

Das Payel, Sercu Tom, Wadhawan Kahini,Padhi Inkit, Gehrmann Sebastian,Cipcigan Flaviu,Chenthamarakshan Vijil,Strobelt Hendrik, Santos Cicero dos,Chen Pin-Yu,Yang Yi Yan, Tan Jeremy

Cited by4Bibtex

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

Vijil Chenthamarakshan,Payel Das,Samuel C. Hoffman,Hendrik Strobelt,Inkit Padhi,Kar Wai Lim,Benjamin Hoover,Matteo Manica,Jannis Born,Teodoro Laino,Aleksandra Mojsilovic

NIPS 2020, (2020)

Cited by7EIBibtex

Improving Efficiency in Large-Scale Decentralized Distributed Training

Zhang Wei,Cui Xiaodong, Kayi Abdullah,Liu Mingrui,Finkler Ulrich,Kingsbury Brian,Saon George,Mroueh Youssef, Buyuktosunoglu Alper,Das Payel, Kung David,Picheny Michael

ICASSP, pp.3022-3026, (2020)

Cited by3EIBibtex

Combinatorial Black-Box Optimization with Expert Advice

Dadkhahi Hamid,Shanmugam Karthikeyan,Rios Jesus,Das Payel,Hoffman Samuel,Loeffler Troy David,Sankaranarayanan Subramanian

KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Virtual Event..., pp.1918-1927, (2020)

EIBibtex

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

Chenthamarakshan Vijil,Das Payel,Padhi Inkit,Strobelt Hendrik,Lim Kar Wai, Hoover Ben, Hoffman Samuel C.,Mojsilovic Aleksandra

neural information processing systems, (2020)

Cited by18Bibtex

Self-Progressing Robust Training

Minhao Cheng,Pin-Yu Chen,Sijia Liu,Shiyu Chang,Cho-Jui Hsieh,Payel Das

Bibtex

Learning Implicit Text Generation via Feature Matching

Padhi Inkit,Dognin Pierre,Bai Ke,Santos Cicero Nogueira dos,Chenthamarakshan Vijil,Mroueh Youssef,Das Payel

ACL, pp.3855-3863, (2020)

EIBibtex

Prediction of Drug Metabolites Using Neural Machine Translation

Eleni Litsa,Payel Das,Lydia Kavraki

Chemical Science, (2020)

Bibtex

Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness

Zhao Pu,Chen Pin-Yu,Das Payel,Ramamurthy Karthikeyan Natesan,Lin Xue

ICLR, (2020)

EIBibtex

Toward A Neuro-inspired Creative Decoder

Payel Das, Brian Quanz,Pin-Yu Chen,Jae-wook Ahn

IJCAI 2020, (2020)

Cited by1EIBibtex

Decentralized Parallel Algorithm for Training Generative Adversarial Nets

Liu Mingrui,Mroueh Youssef,Zhang Wei,Cui Xiaodong,Yang Tianbao,Das Payel

Cited by2Bibtex

De novo drug design with deep generative models

ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, (2018)

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