Abir De

Charting the Design Space of Neural Graph Representations for Subgraph Matching ICLR 2025 Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations ICLR 2025 Differentiable Adversarial Attacks for Marked Temporal Point Processes AAAI 2025 Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction ICML 2025 Position: Graph Matching Systems Deserve Better Benchmarks ICML 2025 Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024 Generator Assisted Mixture of Experts for Feature Acquisition in Batch AAAI 2024 Graph Edit Distance with General Costs Using Neural Set Divergence NeurIPS 2024 Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval NeurIPS 2024 Differentiable Change-point Detection With Temporal Point Processes AISTATS 2023 Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models ICML 2023 Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks NeurIPS 2023 Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search NeurIPS 2023 Interpretable Neural Subgraph Matching for Graph Retrieval AAAI 2022 Learning Recourse on Instance Environment to Enhance Prediction Accuracy NeurIPS 2022 Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences AAAI 2022 Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks NeurIPS 2022 Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection NeurIPS 2022 VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis ICML 2022 Adversarial Permutation Guided Node Representations for Link Prediction AAAI 2021 Classification Under Human Assistance AAAI 2021 Counterfactual Explanations in Sequential Decision Making Under Uncertainty NeurIPS 2021 Differentiable Learning Under Triage NeurIPS 2021 Differentially Private Link Prediction with Protected Connections AAAI 2021 GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training ICML 2021 Learning Temporal Point Processes with Intermittent Observations AISTATS 2021 Learning to Select Exogenous Events for Marked Temporal Point Process NeurIPS 2021 Training Data Subset Selection for Regression with Controlled Generalization Error ICML 2021 Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time NeurIPS 2021 NEVAE: A Deep Generative Model for Molecular Graphs JMLR 2020 On the design of consequential ranking algorithms UAI 2020 Regression under Human Assistance AAAI 2020 NeVAE: A Deep Generative Model for Molecular Graphs AAAI 2019 Deep Reinforcement Learning of Marked Temporal Point Processes NeurIPS 2018 Steering Social Activity: A Stochastic Optimal Control Point Of View JMLR 2018 LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity IJCAI 2017 Learning and Forecasting Opinion Dynamics in Social Networks NeurIPS 2016