Dharmashankar Subramanian

71 papers A* 16A 4C 3Misc 3Journal 30Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
ConstrainedSQL: Training LLMs for Text2SQL via Constrained Reinforcement Learning.
CoRR
Weiqin Chen, Nhan Huu Pham, Michael Robert Glass, Long Hai Vu, Gaetano Rossiello, Dharmashankar Subramanian, Santiago Paternain
2025 J jnl
Extractive Schema Linking for Text-to-SQL.
CoRR
Michael R. Glass, Mustafa Eyceoz, Dharmashankar Subramanian, Gaetano Rossiello, Long Vu, Alfio Gliozzo
2025 J jnl
Filtering Learning Histories Enhances In-Context Reinforcement Learning.
CoRR
Weiqin Chen, Xinjie Zhang, Dharmashankar Subramanian, Santiago Paternain
2025 J jnl
GradeSQL: Outcome Reward Models for Ranking SQL Queries from Large Language Models.
CoRR
Mattia Tritto, Giuseppe Farano, Dario Di Palma, Gaetano Rossiello, Fedelucio Narducci, Dharmashankar Subramanian, Tommaso Di Noia
2025 — conf
Knowledge Base Construction for Knowledge-Augmented Text-to-SQL.
ACL (Findings)
Jinheon Baek, Horst Samulowitz, Oktie Hassanzadeh, Dharmashankar Subramanian, Sola Shirai, Alfio Gliozzo, Debarun Bhattacharjya
2025 J jnl
Knowledge Base Construction for Knowledge-Augmented Text-to-SQL.
CoRR
Jinheon Baek, Horst Samulowitz, Oktie Hassanzadeh, Dharmashankar Subramanian, Sola Shirai, Alfio Gliozzo, Debarun Bhattacharjya
2025 J jnl
Rationalization Models for Text-to-SQL.
CoRR
Gaetano Rossiello, Nhan Pham, Michael R. Glass, Junkyu Lee, Dharmashankar Subramanian
2024 A conf
Adaptive Primal-Dual Method for Safe Reinforcement Learning.
AAMAS
Weiqin Chen, James Onyejizu, Long Vu, Lan Hoang, Dharmashankar Subramanian, Koushik Kar, Sandipan Mishra, Santiago Paternain
2024 J jnl
Adaptive Primal-Dual Method for Safe Reinforcement Learning.
CoRR
Weiqin Chen, James Onyejizu, Long Vu, Lan Hoang, Dharmashankar Subramanian, Koushik Kar, Sandipan Mishra, Santiago Paternain
2024 J jnl
Probabilistic Constraint for Safety-Critical Reinforcement Learning.
IEEE Trans. Autom. Control.
Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain
2024 J jnl
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes.
CoRR
Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao, Kristin P. Bennett
2024 A* conf
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers.
ICML
Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
2024 J jnl
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers.
CoRR
Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
2023 A conf
AutoDOViz: Human-Centered Automation for Decision Optimization.
IUI
Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito P. Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn
2023 J jnl
AutoDOViz: Human-Centered Automation for Decision Optimization.
CoRR
Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito P. Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn
2023 A* conf
Concurrent Multi-Label Prediction in Event Streams.
AAAI
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett
2023 — conf
Influence-Aware Attention for Multivariate Temporal Point Processes.
CLeaR
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett
2023 J jnl
Matching Table Metadata with Business Glossaries Using Large Language Models.
CoRR
Elita A. Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz
2023 — conf
Matching table metadata with business glossaries using large language models.
OM@ISWC
Elita A. Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz
2023 A* conf
Pairwise Causality Guided Transformers for Event Sequences.
NeurIPS
Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett
2023 Misc conf
Policy Gradients for Probabilistic Constrained Reinforcement Learning.
CISS
Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain
2023 A* conf
Probabilistic Attention-to-Influence Neural Models for Event Sequences.
ICML
Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett
2023 J jnl
Probabilistic Constraint for Safety-Critical Reinforcement Learning.
CoRR
Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain
2023 A* conf
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation.
AAAI
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou
2023 A* conf
The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles.
KDD
Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
2023 J jnl
The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles.
CoRR
Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
2023 — conf
Unleashing the Potential of Data Lakes with Semantic Enrichment Using Foundation Models.
ISWC (Posters/Demos/Industry)
Nandana Mihindukulasooriya, Sarthak Dash, Sugato Bagchi, Md. Faisal Mahbub Chowdhury, Alfio Massimiliano Gliozzo, Ariel Farkash, Michael R. Glass, Igor Gokhman, Oktie Hassanzadeh, Nhan Pham, Gaetano Rossiello, Boris Rozenberg, Yehoshua Sagron, Dharmashankar Subramanian, Toshihiro Takahashi, Takaaki Tateishi, Long Vu
2022 J jnl
AI-Based Real-Time Site-Wide Optimization for Process Manufacturing.
INFORMS J. Appl. Anal.
Jayant Kalagnanam, Dzung T. Phan, Pavankumar Murali, Lam M. Nguyen, Nianjun Zhou, Dharmashankar Subramanian, Raju Pavuluri, Xiang Ma, Crystal Lui, Giovane Cesar Da Silva
2022 A* conf
Global Self-Attention as a Replacement for Graph Convolution.
KDD
Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
2022 J jnl
Learning Temporal Rules from Noisy Timeseries Data.
CoRR
Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song
2022 J jnl
Policy Gradients for Probabilistic Constrained Reinforcement Learning.
CoRR
Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain
2022 — conf
Process Independence Testing in Proximal Graphical Event Models.
CLeaR
Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Dharmashankar Subramanian
2022 — conf
Time Series Representation Learning with Contrastive Triplet Selection.
COMAD/CODS
Yuan-Chi Chang, Dharmashankar Subramanian, Raju Pavuluri, Timothy Dinger
2021 J jnl
A Prescriptive Machine-Learning Framework to the Price-Setting Newsvendor Problem.
INFORMS J. Optim.
Pavithra Harsha, Ramesh Natarajan, Dharmashankar Subramanian
2021 A* conf
Causal Inference for Event Pairs in Multivariate Point Processes.
NeurIPS
Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett
2021 J jnl
Edge-augmented Graph Transformers: Global Self-attention is Enough for Graphs.
CoRR
Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
2021 — conf
Interpretable Multi-Step Production Optimization Utilizing IoT Sensor Data.
WF-IoT
Victoria Kusherbaeva, Nianjun Zhou, Dharmashankar Subramanian
2021 — conf
Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation.
BCB
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Kristin P. Bennett
2021 A* conf
Ordinal Historical Dependence in Graphical Event Models with Tree Representations.
AAAI
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
2020 A* conf
A Multi-Channel Neural Graphical Event Model with Negative Evidence.
AAAI
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei
2020 J jnl
A Multi-Channel Neural Graphical Event Model with Negative Evidence.
CoRR
Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei
2020 A* conf
Cause-Effect Association between Event Pairs in Event Datasets.
IJCAI
Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian
2020 A* conf
Event-Driven Continuous Time Bayesian Networks.
AAAI
Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian
2020 A* conf
GaSPing for Utility.
AAAI
Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian
2020 — conf
Hawkesian Graphical Event Models.
PGM
Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue
2020 A* conf
Order-Dependent Event Models for Agent Interactions.
IJCAI
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
2020 A* conf
State Variable Effects in Graphical Event Models.
IJCAI
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
2019 — conf
A Prediction-Optimization Framework for Site-Wide Process Optimization.
ICIOT
Dharmashankar Subramanian, Pavankumar Murali, Nianjun Zhou, Xiang Ma, Giovane Cesar Da Silva, Raju Pavuluri, Jayant Kalagnanam
2018 C conf
Generalization across Contexts in Unsupervised Computational Creativity.
ICCC
Dharmashankar Subramanian, Debarun Bhattacharjya, Lav R. Varshney
2018 A* conf
Proximal Graphical Event Models.
NeurIPS
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
2017 — conf
A cognitive assistant for risk identification and modeling.
IEEE BigData
Dharmashankar Subramanian, Debarun Bhattacharjya, Ruben Rodriguez Torrado, Jeffrey O. Kephart, Vijil Chenthamarakshan, Jesus Rios
2017 Misc conf
A generative stochastic graphical model for simulating social protest.
WSC
Dharmashankar Subramanian, Lucia L. Titus
2015 J jnl
Tight Approximations of Dynamic Risk Measures.
Math. Oper. Res.
Dan Andrei Iancu, Marek Petrik, Dharmashankar Subramanian
2014 J jnl
A framework for strategic financial risk management.
IBM J. Res. Dev.
Jesus Rios, Konstantin Anikeev, M. J. Richard, Shubir Kapoor, Bonnie K. Ray, Christian Toft-Nielsen, Dharmashankar Subramanian, Chen Jiang, Youssef Drissi, Jing Fu
2014 — conf
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning.
NIPS
Marek Petrik, Dharmashankar Subramanian
2013 — conf
Prescriptive Analytics for Allocating Sales Teams to Opportunities.
ICDM Workshops
Ban Kawas, Mark S. Squillante, Dharmashankar Subramanian, Kush R. Varshney
2013 A conf
Solution Methods for Constrained Markov Decision Process with Continuous Probability Modulation.
UAI
Marek Petrik, Dharmashankar Subramanian, Janusz Marecki
2013 J jnl
Solution Methods for Constrained Markov Decision Process with Continuous Probability Modulation.
CoRR
Marek Petrik, Dharmashankar Subramanian, Janusz Marecki
2012 J jnl
An Approximate Solution Method for Large Risk-Averse Markov Decision Processes
CoRR
Marek Petrik, Dharmashankar Subramanian
2012 A conf
An Approximate Solution Method for Large Risk-Averse Markov Decision Processes.
UAI
Marek Petrik, Dharmashankar Subramanian
2012 J jnl
Enterprise transformation: An analytics-based approach to strategic planning.
IBM J. Res. Dev.
Shubir Kapoor, Bonnie K. Ray, Christian Toft-Nielsen, Kolja Dobrindt, Konstantin Anikeev, Dharmashankar Subramanian, Youssef Drissi, Chen Jiang, Jing Fu
2012 J jnl
Iterative estimation maximization for stochastic linear programs with conditional value-at-risk constraints.
Comput. Manag. Sci.
Pu Huang, Dharmashankar Subramanian
2010 Misc conf
An importance sampling method for portfolio CVaR estimation with Gaussian copula models.
WSC
Pu Huang, Dharmashankar Subramanian, Jie Xu
2010 J jnl
Risk-adjusted approach to optimize investments in product development portfolios.
IBM J. Res. Dev.
Dharmashankar Subramanian, Pu Huang, C. Pulavarthi, Jie Xu, H. Sekhar, S. Zhan, S. Tripathi, S. Kumar
2008 — conf
Optimal Resource Action Planning Analytics for Services Delivery Using Hiring, Contracting & Cross-Training of Various Skills.
IEEE SCC (1)
Dharmashankar Subramanian, Lianjun An
2007 J jnl
A Nonlinear Hybrid Life Support System: Dynamic Modeling, Control Design, and Safety Verification.
IEEE Trans. Control. Syst. Technol.
Sonja Glavaski, Dharmashankar Subramanian, Kartik B. Ariyur, Ranjana Ghosh, Nitin Lamba, Antonis Papachristodoulou
2007 J jnl
On optimizing the selection of business transformation projects.
IBM Syst. J.
Naoki Abe, Rama Akkiraju, Stephen J. Buckley, Markus Ettl, Pu Huang, Dharmashankar Subramanian, Fateh Tipu
2006 C conf
MILP and NLP Techniques for centralized trajectory planning of multiple unmanned air vehicles.
ACC
Francesco Borrelli, Dharmashankar Subramanian, Arvind U. Raghunathan, Lorenz T. Biegler
2005 C conf
A nonlinear model predictive control solution for a hybrid dynamic system: NASA life support system.
ACC
Dharmashankar Subramanian, Nitin Lamba
2004 — conf
Control Design for a Hybrid Dynamic System: A NASA Life Support System.
HSCC
Dharmashankar Subramanian, Kartik B. Ariyur, Nitin Lamba, Ranjana Deshpande, Sonja Glavaski
2003 J jnl
An XML-based language for the Research & Development pipeline management problem.
Comput. Chem. Eng.
Vishal A. Varma, Joseph F. Pekny, Gintaras V. Reklaitis, Dharmashankar Subramanian