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Spotlight on women at IBM Research
Lisa Amini · Francesca Rossi · Celia Cintas · Payel Das
Author Information
Lisa Amini (IBM Research)
Francesca Rossi (IBM)
Celia Cintas (IBM Research Africa)
Payel Das (IBM Research)
More from the Same Authors
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2021 : Learning Behavioral Soft Constraints from Demonstrations »
Arie Glazier · Andrea Loreggia · Nicholas Mattei · Taher Rahgooy · Francesca Rossi · Brent Venable -
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 : Beyond Protected Attributes: Disciplined Detection of Systematic Deviations in Data »
Adebayo Oshingbesan · Winslow Omondi · Girmaw Abebe Tadesse · Celia Cintas · Skyler D. Speakman -
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 : Panel Discussion 3 »
Taylor Webb · Hakwan Lau · Bernhard Schölkopf · Jiangying Zhou · Lior Horesh · Francesca Rossi -
2021 Workshop: Metacognition in the Age of AI: Challenges and Opportunities »
Ingmar Posner · Francesca Rossi · Lior Horesh · Steve Fleming · Oiwi Parker Jones · Rohan Paul · Biplav Srivastava · Andrea Loreggia · Marianna Ganapini -
2021 : Introduction to the Workshop on Metacognition in the Age of AI: Challenges and Opportunities »
Ingmar Posner · Steve Fleming · Francesca Rossi -
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 : Panel #1 »
Yoshua Bengio · Daniel Kahneman · Henry Kautz · Luis Lamb · Gary Marcus · Francesca Rossi -
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 Poster: Training Stronger Baselines for Learning to Optimize »
Tianlong Chen · Weiyi Zhang · Zhou Jingyang · Shiyu Chang · Sijia Liu · Lisa Amini · Zhangyang Wang -
2020 Spotlight: Training Stronger Baselines for Learning to Optimize »
Tianlong Chen · Weiyi Zhang · Zhou Jingyang · Shiyu Chang · Sijia Liu · Lisa Amini · Zhangyang Wang -
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 Demonstration: Beyond AutoML: AI Automation & Scaling »
Lisa Amini · Nitin Gupta · Parikshit Ram · Kiran Kate · Bhanukiran Vinzamuri · Nathalie Baracaldo · Martin Korytak · Daniel K Weidele · Dakuo Wang -
2020 Expo Talk Panel: AI against COVID-19 at IBM Research »
Divya Pathak · Payel Das · Michal Rosen-Zvi · Salim Roukos -
2019 : Invited Talk (Francesca Rossi) »
Francesca Rossi -
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: Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization »
Sijia Liu · Bhavya Kailkhura · Pin-Yu Chen · Paishun Ting · Shiyu Chang · Lisa Amini -
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