Subramanian, Dharmashankar

21 publications

ICLRW 2025 Rationalization Models for Text-to-SQL Gaetano Rossiello, Nhan H Pham, Michael Glass, Junkyu Lee, Dharmashankar Subramanian

ICML 2024 Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers Md Shamim Hussain, Mohammed J Zaki, Dharmashankar Subramanian

AAAI 2023 Concurrent Multi-Label Prediction in Event Streams Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett

CLeaR 2023 Influence-Aware Attention for Multivariate Temporal Point Processes Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin Bennett

NeurIPS 2023 Pairwise Causality Guided Transformers for Event Sequences Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P Bennett

ICML 2023 Probabilistic Attention-to-Influence Neural Models for Event Sequences Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin Bennett

AAAI 2023 Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou

CLeaR 2022 Process Independence Testing in Proximal Graphical Event Models Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Dharmashankar Subramanian

NeurIPS 2021 Causal Inference for Event Pairs in Multivariate Point Processes Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P Bennett

AAAI 2021 Ordinal Historical Dependence in Graphical Event Models with Tree Representations Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian

AAAI 2020 A Multi-Channel Neural Graphical Event Model with Negative Evidence Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei

IJCAI 2020 Cause-Effect Association Between Event Pairs in Event Datasets Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian

AAAI 2020 Event-Driven Continuous Time Bayesian Networks Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian

AAAI 2020 GaSPing for Utility Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian

PGM 2020 Hawkesian Graphical Event Models Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue

IJCAI 2020 Order-Dependent Event Models for Agent Interactions Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian

IJCAI 2020 State Variable Effects in Graphical Event Models Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao

NeurIPS 2018 Proximal Graphical Event Models Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao

NeurIPS 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning Marek Petrik, Dharmashankar Subramanian

UAI 2013 Solution Methods for Constrained Markov Decision Process with Continuous Probability Modulation Marek Petrik, Dharmashankar Subramanian, Janusz Marecki

UAI 2012 An Approximate Solution Method for Large Risk-Averse Markov Decision Processes Marek Petrik, Dharmashankar Subramanian