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 : Optimizing Functionals on the Space of Probabilities with Input Convex Neural Network »
  David Alvarez-Melis · Yair Schiff · Youssef Mroueh
• 2021 : Optimizing Functionals on the Space of Probabilities with Input Convex Neural Network »
  David Alvarez-Melis · Yair Schiff · Youssef Mroueh
• 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 Poster: Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations »
  Amit Dhurandhar · Karthikeyan Natesan Ramamurthy · Karthikeyan Shanmugam
• 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 : Closing Remarks »
  Frederic Chazal · Smita Krishnaswamy · Roland Kwitt · Karthikeyan Natesan Ramamurthy · Bastian Rieck · Yuhei Umeda · Guy Wolf
• 2020 Workshop: Topological Data Analysis and Beyond »
  Bastian Rieck · Frederic Chazal · Smita Krishnaswamy · Roland Kwitt · Karthikeyan Natesan Ramamurthy · Yuhei Umeda · Guy Wolf
• 2020 : Opening Remarks »
  Frederic Chazal · Smita Krishnaswamy · Roland Kwitt · Karthikeyan Natesan Ramamurthy · Bastian Rieck · Yuhei Umeda · Guy Wolf
• 2020 Poster: Finding the Homology of Decision Boundaries with Active Learning »
  Weizhi Li · Gautam Dasarathy · Karthikeyan Natesan Ramamurthy · Visar Berisha
• 2020 Poster: Model Agnostic Multilevel Explanations »
  Karthikeyan Natesan Ramamurthy · Bhanukiran Vinzamuri · Yunfeng Zhang · Amit Dhurandhar
• 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 : CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models »
  Payel Das
• 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
• 2019 : Coffee Break and Poster Session »
  Rameswar Panda · Prasanna Sattigeri · Kush Varshney · Karthikeyan Natesan Ramamurthy · Harvineet Singh · Vishwali Mhasawade · Shalmali Joshi · Laleh Seyyed-Kalantari · Matthew McDermott · Gal Yona · James Atwood · Hansa Srinivasan · Yonatan Halpern · D. Sculley · Behrouz Babaki · Margarida Carvalho · Josie Williams · Narges Razavian · Haoran Zhang · Amy Lu · Irene Y Chen · Xiaojie Mao · Angela Zhou · Nathan Kallus
• 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 Demonstration: PatentAI: IP Infringement Detection with Enhanced Paraphrase Identification »
  Youssef Drissi · Karthikeyan Natesan Ramamurthy · Prasanna Sattigeri
• 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
• 2017 Poster: Optimized Pre-Processing for Discrimination Prevention »
  Flavio Calmon · Dennis Wei · Bhanukiran Vinzamuri · Karthikeyan Natesan Ramamurthy · Kush Varshney