Samanta, Bidisha

7 publications

ICLR 2024 LLM Augmented LLMs: Expanding Capabilities Through Composition Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar

ICLRW 2023 CrysGNN : Distilling Pre-Trained Knowledge to Enhance Property Prediction for Crystalline Materials. Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

AAAI 2023 CrysGNN: Distilling Pre-Trained Knowledge to Enhance Property Prediction for Crystalline Materials Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

JMLR 2020 NEVAE: A Deep Generative Model for Molecular Graphs Bidisha Samanta, Abir De, Gourhari Jana, Vicenç Gómez, Pratim Chattaraj, Niloy Ganguly, Manuel Gomez-Rodriguez

IJCAI 2019 A Deep Generative Model for Code Switched Text Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti

AAAI 2019 NeVAE: A Deep Generative Model for Molecular Graphs Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez

IJCAI 2017 LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity Bidisha Samanta, Abir De, Abhijnan Chakraborty, Niloy Ganguly