Dharmashankar Subramanian

According to our database, Dharmashankar Subramanian authored at least 54 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Probabilistic Constraint for Safety-Critical Reinforcement Learning.

Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain

IEEE Trans. Autom. Control., October, 2024

Self-Supervised Contrastive Pre-Training for Multivariate Point Processes.

Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao, Kristin P. Bennett

CoRR, 2024

Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers.

Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Primal-Dual Method for Safe Reinforcement Learning.

Weiqin Chen, James Onyejizu, Long Vu, Lan Hoang, Dharmashankar Subramanian, Koushik Kar, Sandipan Mishra, Santiago Paternain

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Unleashing the Potential of Data Lakes with Semantic Enrichment Using Foundation Models.

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

Proceedings of the ISWC 2023 Posters, 2023

Matching table metadata with business glossaries using large language models.

Elita A. Lobo, Oktie Hassanzadeh, Nhan Pham, Nandana Mihindukulasooriya, Dharmashankar Subramanian, Horst Samulowitz

Proceedings of the 18th International Workshop on Ontology Matching co-located with the 22nd International Semantic Web Conference (ISWC 2023), 2023

Pairwise Causality Guided Transformers for Event Sequences.

Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles.

Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

AutoDOViz: Human-Centered Automation for Decision Optimization.

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

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Probabilistic Attention-to-Influence Neural Models for Event Sequences.

Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett

Proceedings of the International Conference on Machine Learning, 2023

Influence-Aware Attention for Multivariate Temporal Point Processes.

Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Policy Gradients for Probabilistic Constrained Reinforcement Learning.

Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Concurrent Multi-Label Prediction in Event Streams.

Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation.

Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

AI-Based Real-Time Site-Wide Optimization for Process Manufacturing.

Jayant Kalagnanam, Dzung T. Phan, Pavankumar Murali, Lam M. Nguyen, Nianjun Zhou, Dharmashankar Subramanian, Raju Pavuluri, Xiang Ma, Crystal Lui, Giovane Cesar Da Silva

INFORMS J. Appl. Anal., 2022

Learning Temporal Rules from Noisy Timeseries Data.

Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song

CoRR, 2022

Global Self-Attention as a Replacement for Graph Convolution.

Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Time Series Representation Learning with Contrastive Triplet Selection.

Yuan-Chi Chang, Dharmashankar Subramanian, Raju Pavuluri, Timothy Dinger

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Process Independence Testing in Proximal Graphical Event Models.

Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Dharmashankar Subramanian

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

A Prescriptive Machine-Learning Framework to the Price-Setting Newsvendor Problem.

Pavithra Harsha, Ramesh Natarajan, Dharmashankar Subramanian

INFORMS J. Optim., July, 2021

Edge-augmented Graph Transformers: Global Self-attention is Enough for Graphs.

Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian

CoRR, 2021

Interpretable Multi-Step Production Optimization Utilizing IoT Sensor Data.

Victoria Kusherbaeva, Nianjun Zhou, Dharmashankar Subramanian

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Causal Inference for Event Pairs in Multivariate Point Processes.

Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation.

Xiao Shou, Tian Gao, Dharmashankar Subramanian, Kristin P. Bennett

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Ordinal Historical Dependence in Graphical Event Models with Tree Representations.

Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Hawkesian Graphical Event Models.

Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

State Variable Effects in Graphical Event Models.

Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Order-Dependent Event Models for Agent Interactions.

Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Cause-Effect Association between Event Pairs in Event Datasets.

Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

GaSPing for Utility.

Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Multi-Channel Neural Graphical Event Model with Negative Evidence.

Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Event-Driven Continuous Time Bayesian Networks.

Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Prediction-Optimization Framework for Site-Wide Process Optimization.

Dharmashankar Subramanian, Pavankumar Murali, Nianjun Zhou, Xiang Ma, Giovane Cesar Da Silva, Raju Pavuluri, Jayant Kalagnanam

Proceedings of the 2019 IEEE International Congress on Internet of Things, 2019

2018

Proximal Graphical Event Models.

Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Generalization across Contexts in Unsupervised Computational Creativity.

Dharmashankar Subramanian, Debarun Bhattacharjya, Lav R. Varshney

Proceedings of the Ninth International Conference on Computational Creativity, 2018

2017

A generative stochastic graphical model for simulating social protest.

Dharmashankar Subramanian, Lucia L. Titus

Proceedings of the 2017 Winter Simulation Conference, 2017

A cognitive assistant for risk identification and modeling.

Dharmashankar Subramanian, Debarun Bhattacharjya, Ruben Rodriguez Torrado, Jeffrey O. Kephart, Vijil Chenthamarakshan, Jesus Rios

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015

Tight Approximations of Dynamic Risk Measures.

Dan Andrei Iancu, Marek Petrik, Dharmashankar Subramanian

Math. Oper. Res., 2015

2014

A framework for strategic financial risk management.

Jesus Rios, Konstantin Anikeev, M. J. Richard, Shubir Kapoor, Bonnie K. Ray, Christian Toft-Nielsen, Dharmashankar Subramanian, Chen Jiang, Youssef Drissi, Jing Fu

IBM J. Res. Dev., 2014

RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning.

Marek Petrik, Dharmashankar Subramanian

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Solution Methods for Constrained Markov Decision Process with Continuous Probability Modulation.

Marek Petrik, Dharmashankar Subramanian, Janusz Marecki

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Prescriptive Analytics for Allocating Sales Teams to Opportunities.

Ban Kawas, Mark S. Squillante, Dharmashankar Subramanian, Kush R. Varshney

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

Enterprise transformation: An analytics-based approach to strategic planning.

Shubir Kapoor, Bonnie K. Ray, Christian Toft-Nielsen, Kolja Dobrindt, Konstantin Anikeev, Dharmashankar Subramanian, Youssef Drissi, Chen Jiang, Jing Fu

IBM J. Res. Dev., 2012

Iterative estimation maximization for stochastic linear programs with conditional value-at-risk constraints.

Pu Huang, Dharmashankar Subramanian

Comput. Manag. Sci., 2012

An Approximate Solution Method for Large Risk-Averse Markov Decision Processes.

Marek Petrik, Dharmashankar Subramanian

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2010

Risk-adjusted approach to optimize investments in product development portfolios.

Dharmashankar Subramanian, Pu Huang, C. Pulavarthi, Jie Xu, H. Sekhar, S. Zhan, S. Tripathi, S. Kumar

IBM J. Res. Dev., 2010

An importance sampling method for portfolio CVaR estimation with Gaussian copula models.

Pu Huang, Dharmashankar Subramanian, Jie Xu

Proceedings of the 2010 Winter Simulation Conference, 2010

2008

Optimal Resource Action Planning Analytics for Services Delivery Using Hiring, Contracting & Cross-Training of Various Skills.

Dharmashankar Subramanian, Lianjun An

Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

2007

A Nonlinear Hybrid Life Support System: Dynamic Modeling, Control Design, and Safety Verification.

Sonja Glavaski, Dharmashankar Subramanian, Kartik B. Ariyur, Ranjana Ghosh, Nitin Lamba, Antonis Papachristodoulou

IEEE Trans. Control. Syst. Technol., 2007

On optimizing the selection of business transformation projects.

Naoki Abe, Rama Akkiraju, Stephen J. Buckley, Markus Ettl, Pu Huang, Dharmashankar Subramanian, Fateh Tipu

IBM Syst. J., 2007

2006

MILP and NLP Techniques for centralized trajectory planning of multiple unmanned air vehicles.

Francesco Borrelli, Dharmashankar Subramanian, Arvind U. Raghunathan, Lorenz T. Biegler

Proceedings of the American Control Conference, 2006

2005

A nonlinear model predictive control solution for a hybrid dynamic system: NASA life support system.

Dharmashankar Subramanian, Nitin Lamba

Proceedings of the American Control Conference, 2005

2004

Control Design for a Hybrid Dynamic System: A NASA Life Support System.

Dharmashankar Subramanian, Kartik B. Ariyur, Nitin Lamba, Ranjana Deshpande, Sonja Glavaski

Proceedings of the Hybrid Systems: Computation and Control, 7th International Workshop, 2004

2003

An XML-based language for the Research & Development pipeline management problem.

Vishal A. Varma, Joseph F. Pekny, Gintaras V. Reklaitis, Dharmashankar Subramanian

Comput. Chem. Eng., 2003