Publications

42 results for Payel Das

On Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
- - Ching-yun Ko
  - Pin-Yu Chen
  - et al.
- 2023
- ICML 2023
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models
- - Ioana Baldini Soares
  - Chhavi Yadav
  - et al.
- 2023
- ACL 2023
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
- - Sourya Basu
  - Prasanna Sattigeri
  - et al.
- 2023
- AAAI 2023
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- - Matteo Manica
  - Joris Cadow
  - et al.
- 2022
- MRS Fall Meeting 2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data
- - Ching-yun Ko
  - Pin-Yu Chen
  - et al.
- 2022
- NeurIPS 2022
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions
- - Chanakya Ekbote
  - Moksh Jain
  - et al.
- 2022
- NeurIPS 2022
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators
- - Jenna Bilbrey
  - Kristina Herman
  - et al.
- 2022
- NeurIPS 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- - Matteo Manica
  - Joris Cadow
  - et al.
- 2022
- ACS Fall 2022
Biological Sequence Design with GFlowNets
- - Moksh Jain
  - Payel Das
  - et al.
- 2022
- ICML 2022
Protein Representation Learning by Geometric Structure Pretraining
- - Zuobai Zhang
  - Minghao Xu
  - et al.
- 2022
- ICML 2022