More from the Same Authors

• 2021 : Accurate Multi-Endpoint Molecular Toxicity Predictions in Humans with Contrastive Explanations »
  Bhanushee Sharma · Vijil Chenthamarakshan · Amit Dhurandhar · James Hendler · Jonathan S. Dordick · Payel Das
• 2021 : Sample-Efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model »
  Samuel Hoffman · Vijil Chenthamarakshan · Dmitry Zubarev · Daniel Sanders · Payel Das
• 2021 : Grapher: Multi-Stage Knowledge Graph Construction using Pretrained Language Models »
  Igor Melnyk · Pierre Dognin · Payel Das
• 2022 : Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators »
  Jenna A Bilbrey · Kristina Herman · Henry Sprueill · Sotiris Xantheas · Payel Das · Manuel Lopez Roldan · Mike Kraus · Hatem Helal · Sutanay Choudhury
• 2022 : Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions »
  Chanakya Ekbote · Moksh Jain · Payel Das · Yoshua Bengio
• 2022 : Panel »
  Pin-Yu Chen · Alex Gittens · Bo Li · Celia Cintas · Hilde Kuehne · Payel Das
• 2022 : SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data »
  Ching-Yun Ko · Pin-Yu Chen · Jeet Mohapatra · Payel Das · Luca Daniel
• 2022 Expo Demonstration: Real-time Navigation of Chemical Space with Cloud-Based Inference from MoLFormer »
  Payel Das · Brian Belgodere
• 2021 : Grapher: Multi-Stage Knowledge Graph Construction using Pretrained Language Models »
  Igor Melnyk · Pierre Dognin · Payel Das
• 2021 : Sample-Efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model »
  Samuel Hoffman · Vijil Chenthamarakshan · Dmitry Zubarev · Daniel Sanders · Payel Das
• 2021 Poster: Predicting Deep Neural Network Generalization with Perturbation Response Curves »
  Yair Schiff · Brian Quanz · Payel Das · Pin-Yu Chen
• 2021 Poster: Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination »
  Arpan Mukherjee · Ali Tajer · Pin-Yu Chen · Payel Das
• 2020 : Spotlight: Characterizing the Latent Space of Molecular Generative Models with Persistent Homology Metrics »
  Yair Schiff · Payel Das · Vijil Chenthamarakshan · Karthikeyan Natesan Ramamurthy
• 2020 Poster: A Decentralized Parallel Algorithm for Training Generative Adversarial Nets »
  Mingrui Liu · Wei Zhang · Youssef Mroueh · Xiaodong Cui · Jarret Ross · Tianbao Yang · Payel Das
• 2020 : Spotlight on women at IBM Research »
  Lisa Amini · Francesca Rossi · Celia Cintas · Payel Das
• 2020 Poster: CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models »
  Vijil Chenthamarakshan · Payel Das · Samuel Hoffman · Hendrik Strobelt · Inkit Padhi · Kar Wai Lim · Benjamin Hoover · Matteo Manica · Jannis Born · Teodoro Laino · Aleksandra Mojsilovic
• 2020 Poster: Optimizing Mode Connectivity via Neuron Alignment »
  Norman J Tatro · Pin-Yu Chen · Payel Das · Igor Melnyk · Prasanna Sattigeri · Rongjie Lai
• 2020 Expo Talk Panel: AI against COVID-19 at IBM Research »
  Divya Pathak · Payel Das · Michal Rosen-Zvi · Salim Roukos
• 2018 : Contributed Work »
  Thaer Moustafa Dieb · Aditya Balu · Amir H. Khasahmadi · Viraj Shah · Boris Knyazev · Payel Das · Garrett Goh · Georgy Derevyanko · Gianni De Fabritiis · Reiko Hagawa · John Ingraham · David Belanger · Jialin Song · Kim Nicoli · Miha Skalic · Michelle Wu · Niklas Gebauer · Peter Bjørn Jørgensen · Ryan-Rhys Griffiths · Shengchao Liu · Sheshera Mysore · Hai Leong Chieu · Philippe Schwaller · Bart Olsthoorn · Bianca-Cristina Cristescu · Wei-Cheng Tseng · Seongok Ryu · Iddo Drori · Kevin Yang · Soumya Sanyal · Zois Boukouvalas · Rishi Bedi · Arindam Paul · Sambuddha Ghosal · Daniil Bash · Clyde Fare · Zekun Ren · Ali Oskooei · Minn Xuan Wong · Paul Sinz · Théophile Gaudin · Wengong Jin · Paul Leu
• 2018 Poster: Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives »
  Amit Dhurandhar · Pin-Yu Chen · Ronny Luss · Chun-Chen Tu · Paishun Ting · Karthikeyan Shanmugam · Payel Das