Chenthamarakshan, Vijil

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

Fairness GAN: Generating datasets with fairness properties using a generative adversarial network

Sattigeri, P., Hoffman, S. C., Chenthamarakshan, V., & Varshney, K. R. (2019) · IBM Journal of Research and Development

Ethics and Social Impacts of AIGenerative Adversarial Networks and Image Synthesis

Cited by 134

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