Das, Payel

Large-scale chemical language representations capture molecular structure and properties

Ross, J., Belgodere, B., Chenthamarakshan, V., Padhi, I., Mroueh, Y., & Das, P. (2022) · Nature Machine Intelligence

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 590

Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction

Das, P., Moll, M., Stamati, H., Kavraki, L. E., & Clementi, C. (2006) · Proceedings of the National Academy of Sciences

Protein Structure and DynamicsRNA and protein synthesis mechanisms

Cited by 331

The Impact of Positional Encoding on Length Generalization in Transformers

Kazemnejad, A., Padhi, I., Ramamurthy, K. N., Das, P., & Reddy, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 54

AI Maintenance: A Robustness Perspective

Chen, P.-Y., & Das, P. (2023) · Computer

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 29

Larimar: Large Language Models with Episodic Memory Control

Das, P., Chaudhury, S., Nelson, E., Melnyk, I., Swaminathan, S., Dai, S., Lozano, A., Kollias, G., Chenthamarakshan, V., Jiří, et al. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 3