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

26 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
The Impact of Positional Encoding on Length Generalization in Transformers
- - Amirhossein Kazemnejad
  - Inkit Padhi
  - et al.
- 2023
- NeurIPS 2023
Efficient Equivariant Transfer Learning from Pretrained Models
- - Sourya Basu
  - Pulkit Katdare
  - et al.
- 2023
- NeurIPS 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
- - Zuobai Zhang
  - Minghao Xu
  - et al.
- 2023
- NeurIPS 2023
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
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