Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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42 results for Payel Das

Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
- - Yue Cao
  - Payel Das
  - et al.
- 2021
- ICML 2021
Self-Progressing Robust Training
- - Minhao Cheng
  - Pin-Yu Chen
  - et al.
- 2021
- AAAI 2021
Optimizing Mode Connectivity via Neuron Alignment
- - N. Joseph Tatro
  - Pin-Yu Chen
  - et al.
- 2020
- NeurIPS 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- - Vijil Chenthamarakshan
  - Payel Das
  - et al.
- 2020
- NeurIPS 2020
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
- - Mingrui Liu
  - Wei Zhang
  - et al.
- 2020
- NeurIPS 2020
Learning Implicit Text Generation via Feature Matching
- - Inkit Padhi
  - Pierre Dognin
  - et al.
- 2020
- ACL 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
- - Mingrui Liu
  - Youssef Mroueh
  - et al.
- 2020
- ICLR 2020
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
- - Pu Zhao
  - Pin-Yu Chen
  - et al.
- 2020
- ICLR 2020
Towards Creativity Characterization of Generative Models via Group-based Subset Scanning
- - Celia Cintas
  - Payel Das
  - et al.
- 2022
- IJCAI 2022
Toward a neuro-inspired creative decoder
- - Payel Das
  - Brian Quanz
  - et al.
- 2021
- IJCAI 2020