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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Year

21 results for Payel Das

Data-Efficient Graph Grammar Learning for Molecular Generation
- - Minghao Guo
  - Veronika Thost
  - et al.
- 2022
- ICLR 2022
Predicting Deep Neural Network Generalization with Perturbation Response Curves
- - Yair Schiff
  - Brian Quanz
  - et al.
- 2021
- NeurIPS 2021
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- - Matteo Manica
  - Joris Cadow
  - et al.
- 2022
- ACS Fall 2022
Accurate multi-endpoint molecular toxicity predictions in humans with contrastive explanations
- - Bhanushee Sharma
  - Vijil Chenthamarakshan
  - et al.
- 2022
- ACS Spring 2022
Fourier Representations for Black-Box Optimization over Categorical Variables
- - Hamid Dadkhahi
  - Jesus Rios Aliaga
  - et al.
- 2022
- AAAI 2022
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
- - Arpan Mukherjee
  - Ali Tajer
  - et al.
- 2021
- NeurIPS 2021
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- - Matteo Manica
  - Joris Cadow
  - et al.
- 2022
- MRS Fall Meeting 2022
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
- - Sourya Basu
  - Prasanna Sattigeri
  - et al.
- 2023
- AAAI 2023
Biological Sequence Design with GFlowNets
- - Moksh Jain
  - Payel Das
  - et al.
- 2022
- ICML 2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data
- - Ching-yun Ko
  - Pin-Yu Chen
  - et al.
- 2022
- NeurIPS 2022