ML Anthology

De, Abir

39 publications

ICLR 2025 Charting the Design Space of Neural Graph Representations for Subgraph Matching Vaibhav Raj, Indradyumna Roy, Ashwin Ramachandran, Soumen Chakrabarti, Abir De
ICLR 2025 Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations Indradyumna Roy, Eeshaan Jain, Soumen Chakrabarti, Abir De
NeurIPS 2025 Contextual Tokenization for Graph Inverted Indices Pritish Chakraborty, Indradyumna Roy, Soumen Chakrabarti, Abir De
AAAI 2025 Differentiable Adversarial Attacks for Marked Temporal Point Processes Pritish Chakraborty, Vinayak Gupta, Rahul R, Srikanta J. Bedathur, Abir De
ICML 2025 Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction Ankit Ghosh, Gargee Kashyap, Sarthak Mittal, Nupur Jain, Raghavan B Sunoj, Abir De
NeurIPS 2025 Monotone and Separable Set Functions: Characterizations and Neural Models Soutrik Sarangi, Yonatan Sverdlov, Nadav Dym, Abir De
ICML 2025 Position: Graph Matching Systems Deserve Better Benchmarks Indradyumna Roy, Saswat Meher, Eeshaan Jain, Soumen Chakrabarti, Abir De
AAAI 2024 Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi
AAAI 2024 Generator Assisted Mixture of Experts for Feature Acquisition in Batch Vedang Asgaonkar, Aditya Jain, Abir De
NeurIPS 2024 Graph Edit Distance with General Costs Using Neural Set Divergence Eeshaan Jain, Indradyumna Roy, Saswat Meher, Soumen Chakrabarti, Abir De
NeurIPS 2024 Iteratively Refined Early Interaction Alignment for Subgraph Matching Based Graph Retrieval Ashwin Ramachandran, Vaibhav Raj, Indrayumna Roy, Soumen Chakrabarti, Abir De
AISTATS 2023 Differentiable Change-Point Detection with Temporal Point Processes Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
ICML 2023 Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga S, Ganesh Ramakrishnan, Rishabh K Iyer, Abir De
NeurIPS 2023 Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De
NeurIPS 2023 Locality Sensitive Hashing in Fourier Frequency Domain for Soft Set Containment Search Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti, Anirban Dasgupta, Abir De
AAAI 2022 Interpretable Neural Subgraph Matching for Graph Retrieval Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti, Abir De
NeurIPS 2022 Learning Recourse on Instance Environment to Enhance Prediction Accuracy Lokesh N, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi
AAAI 2022 Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences Vinayak Gupta, Srikanta Bedathur, Abir De
TMLR 2022 Learning to Switch Among Agents in a Team via 2-Layer Markov Decision Processes Vahid Balazadeh, Abir De, Adish Singla, Manuel Gomez Rodriguez
NeurIPS 2022 Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks Indradyumna Roy, Soumen Chakrabarti, Abir De
NeurIPS 2022 Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection Abir De, Soumen Chakrabarti
ICML 2022 VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis Tathagat Verma, Abir De, Yateesh Agrawal, Vishwa Vinay, Soumen Chakrabarti
AISTATS 2021 Learning Temporal Point Processes with Intermittent Observations Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
AAAI 2021 Adversarial Permutation Guided Node Representations for Link Prediction Indradyumna Roy, Abir De, Soumen Chakrabarti
AAAI 2021 Classification Under Human Assistance Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez
NeurIPS 2021 Counterfactual Explanations in Sequential Decision Making Under Uncertainty Stratis Tsirtsis, Abir De, Manuel Rodriguez
NeurIPS 2021 Differentiable Learning Under Triage Nastaran Okati, Abir De, Manuel Rodriguez
AAAI 2021 Differentially Private Link Prediction with Protected Connections Abir De, Soumen Chakrabarti
ICML 2021 GRAD-MATCH: Gradient Matching Based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty, Durga S, Ganesh Ramakrishnan, Abir De, Rishabh Iyer
NeurIPS 2021 Learning to Select Exogenous Events for Marked Temporal Point Process Ping Zhang, Rishabh Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De
ICML 2021 Training Data Subset Selection for Regression with Controlled Generalization Error Durga S, Rishabh Iyer, Ganesh Ramakrishnan, Abir De
NeurIPS 2021 Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
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
UAI 2020 On the Design of Consequential Ranking Algorithms Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez
AAAI 2020 Regression Under Human Assistance Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez
AAAI 2019 NeVAE: A Deep Generative Model for Molecular Graphs Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez
NeurIPS 2018 Deep Reinforcement Learning of Marked Temporal Point Processes Utkarsh Upadhyay, Abir De, 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