Ganguly, Niloy

23 publications

ICLRW 2025 CrysLDM: Latent Diffusion Model for Crystal Material Generation Subhojyoti Khastagir, Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

AAAI 2025 ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP Subhendu Khatuya, Ritvik Vij, Paramita Koley, Samik Datta, Niloy Ganguly

NeurIPS 2025 LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation Subhojyoti Khastagir, Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

ICLR 2025 Periodic Materials Generation Using Text-Guided Joint Diffusion Model Kishalay Das, Subhojyoti Khastagir, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

TMLR 2024 ***FastDoc***: Domain-Specific Fast Continual Pre-Training Technique Using Document-Level Metadata and Taxonomy Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly

AAAI 2024 IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers Jingge Xiao, Leonie Basso, Wolfgang Nejdl, Niloy Ganguly, Sandipan Sikdar

IJCAI 2024 MEDVOC: Vocabulary Adaptation for Fine-Tuning Pre-Trained Language Models on Medical Text Summarization Gunjan Balde, Soumyadeep Roy, Mainack Mondal, Niloy Ganguly

ECML-PKDD 2024 Self-SLAM: A Self-Supervised Learning Based Annotation Method to Reduce Labeling Overhead Alfiya M. Shaikh, Hrithik Nambiar, Kshitish Ghate, Swarnali Banik, Sougata Sen, Surjya Ghosh, Vaskar Raychoudhury, Niloy Ganguly, Snehanshu Saha

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

UAI 2023 CrysMMNet: Multimodal Representation for Crystal Property Prediction Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

AISTATS 2023 Differentiable Change-Point Detection with Temporal Point Processes Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De

ICLRW 2023 IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers Jingge Xiao, Leonie Basso, Niloy Ganguly, Sandipan Sikdar

UAI 2021 Graph-Based Semi-Supervised Learning Through the Lens of Safety Shreyas Sheshadri, Avirup Saha, Priyank Patel, Samik Datta, Niloy Ganguly

ICCV 2021 TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya

AAAI 2020 Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi

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

AAAI 2020 Regression Under Human Assistance Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez

IJCAI 2020 Understanding the Success of Graph-Based Semi-Supervised Learning Using Partially Labelled Stochastic Block Model Avirup Saha, Shreyas Sheshadri, Samik Datta, Niloy Ganguly, Disha Makhija, Priyank Patel

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

NeurIPS 2016 Learning and Forecasting Opinion Dynamics in Social Networks Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez Rodriguez