Publications

42 results for Payel Das

NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
- - Amit Dhurandhar
  - Tejaswini Pedapati
  - et al.
- 2024
- ACL 2024
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- - Irene Ko
  - Pin-Yu Chen
  - et al.
- 2024
- ICML 2024
Larimar: Large Language Models with Episodic Memory Control
- - Payel Das
  - SUBHAJIT CHAUDHURY
  - et al.
- 2024
- ICML 2024
Needle in the Haystack for Memory Based Large Language Models
- - Payel Das
  - Soham Dan
  - et al.
- 2024
- ICML 2024
Generation constraint scaling can mitigate hallucination
- - Georgios Kollias
  - Payel Das
  - et al.
- 2024
- ICML 2024
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
- - Zuobai Zhang
  - Minghao Xu
  - et al.
- 2023
- NeurIPS 2023
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
AlphaFold Distillation for Protein Design
- - Igor Melnyk
  - Aurelie Lozano
  - et al.
- 2023
- NeurIPS 2023
Characterizing pre-trained and task-adapted molecular representations
- - Celia Cintas
  - Payel Das
  - et al.
- 2023
- NeurIPS 2023