D. Subramanian

发表

3D conflict resolution of multiple aircraft via dynamic optimization

Lorenz T. Biegler, Tariq Samad, Dharmashankar Subramanian, 2003 .

The Price of Dynamic Inconsistency for Distortion Risk Measures

Marek Petrik, Dharmashankar Subramanian, Dan Andrei Iancu, 2011 .

On Modeling Some Essential Dynamics of the Subprime Mortgage Crisis

D. Subramanian, L. An, A. King, 2009 .

A decision analysis approach to financial risk management in strategic outsourcing contracts

B. Ray, A. Olkhovets, D. Subramanian, 2013 .

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

Mohammed J. Zaki, Md Shamim Hussain, D. Subramanian, 2021, ArXiv.

Global Self-Attention as a Replacement for Graph Convolution

Mohammed J. Zaki, Md Shamim Hussain, D. Subramanian, 2021, KDD.

A cognitive assistant for risk identification and modeling

Jeffrey O. Kephart, Ruben Rodriguez Torrado, Vijil Chenthamarakshan, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Hawkesian Graphical Event Models

Karthikeyan Shanmugam, Lingzhou Xue, Tian Gao, 2020, PGM.

Policy Gradients for Probabilistic Constrained Reinforcement Learning

Santiago Paternain, D. Subramanian, Weiqin Chen, 2022, ArXiv.

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

D. Subramanian, Pu Huang, 2011, Computational Management Science.

Learning Temporal Rules from Noisy Timeseries Data

Le Song, Shuang Li, Irfan Essa, 2022, ArXiv.

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

Marek Petrik, Dharmashankar Subramanian, Marek Petrik, 2012, UAI.

A framework for strategic financial risk management

Chen Jiang, Dharmashankar Subramanian, Youssef Drissi, 2014, IBM J. Res. Dev..

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

Pu Huang, Dharmashankar Subramanian, D. Subramanian, 2012, Comput. Manag. Sci..

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

Dharmashankar Subramanian, Pavithra Harsha, Ramesh Natarajan, 2021, INFORMS J. Optim..

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

Antonis Papachristodoulou, Dharmashankar Subramanian, Sonja Glavaski, 2007, IEEE Transactions on Control Systems Technology.

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

F. Borrelli, A.U. Raghunathan, D. Subramanian, 2006, 2006 American Control Conference.

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

D. Subramanian, N. Lamba, D. Subramanian, 2005, Proceedings of the 2005, American Control Conference, 2005..

NONLINEAR MODEL PREDICTIVE CONTROL SOLUTION FOR A HYBRID LIFE SUPPORT SYSTEM

Dharmashankar Subramanian, Nitin Lamba, D. Subramanian, 2005 .

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

Dharmashankar Subramanian, Sonja Glavaski, Kartik Ariyur, 2004, HSCC.

A comparison between Mixed Integer Programming and Nonlinear Programming Techniques for 3 D Conflict Resolution of Multiple Aircraft

Francesco Borrelli, Lorenz T. Biegler, Tariq Samad, 2003 .

A Prediction-Optimization Framework for Site-Wide Process Optimization

Nianjun Zhou, Jayant Kalagnanam, Dharmashankar Subramanian, 2019, 2019 IEEE International Congress on Internet of Things (ICIOT).

GaSPing for Utility

Mengyang Gu, Debarun Bhattacharjya, Dharmashankar Subramanian, 2020, AAAI.

Nonparametric estimation of utility functions.

D. Subramanian, D. Bhattacharjya, Mengyang Gu, 2018, 1807.10840.

Prescriptive Analytics for Allocating Sales Teams to Opportunities

Mark S. Squillante, Kush R. Varshney, Dharmashankar Subramanian, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

AutoDOViz: Human-Centered Automation for Decision Optimization

Abel N. Valente, Elizabeth M. Daly, Radu Marinescu, 2023, IUI.

Ordinal Historical Dependence in Graphical Event Models with Tree Representations

Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao, 2021, AAAI.

Enterprise transformation: An analytics-based approach to strategic planning

Chen Jiang, Dharmashankar Subramanian, Youssef Drissi, 2012, IBM J. Res. Dev..

Cause-Effect Association between Event Pairs in Event Datasets

Nicholas Mattei, Debarun Bhattacharjya, Dharmashankar Subramanian, 2020, IJCAI.

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

Lam M. Nguyen, J. Kalagnanam, D. Phan, 2022, INFORMS J. Appl. Anal..

Process Independence Testing in Proximal Graphical Event Models

Karthikeyan Shanmugam, Tian Gao, D. Subramanian, 2022, CLeaR.

Risk-adjusted approach to optimize investments in product development portfolios

S. Kumar, Jie Xu, Pu Huang, 2010, IBM J. Res. Dev..

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

Tian Gao, D. Subramanian, Kristin P. Bennett, 2021, BCB.

Order-Dependent Event Models for Agent Interactions

Tian Gao, D. Subramanian, D. Bhattacharjya, 2020, IJCAI.

Concurrent Multi-Label Prediction in Event Streams

Tian Gao, D. Subramanian, D. Bhattacharjya, 2023, AAAI.

Proximal Graphical Event Models

Tian Gao, Debarun Bhattacharjya, Dharmashankar Subramanian, 2018, NeurIPS.

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

Marek Petrik, Dharmashankar Subramanian, Marek Petrik, 2014, NIPS.

Tight Approximations of Dynamic Risk Measures

Marek Petrik, Dharmashankar Subramanian, Dan Andrei Iancu, 2011, Math. Oper. Res..

Generalization across Contexts in Unsupervised Computational Creativity

Lav R. Varshney, Debarun Bhattacharjya, Dharmashankar Subramanian, 2018, ICCC.

Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation

Tian Gao, D. Subramanian, D. Bhattacharjya, 2020, IJCAI.

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

Marek Petrik, Dharmashankar Subramanian, Janusz Marecki, 2013, UAI.

Probabilistic Attention-to-Influence Neural Models for Event Sequences

Tian Gao, D. Subramanian, D. Bhattacharjya, 2023, ICML.

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

Tian Gao, D. Subramanian, D. Bhattacharjya, 2023, AAAI.

Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation

Tian Gao, D. Subramanian, D. Bhattacharjya, 2020 .

Event-Driven Continuous Time Bayesian Networks

Kush R. Varshney, Karthikeyan Shanmugam, Tian Gao, 2020, AAAI.

Causal Inference for Event Pairs in Multivariate Point Processes

Tian Gao, Nicholas Mattei, D. Subramanian, 2021, NeurIPS.

A simulation-optimization framework for research and development pipeline management

G. Reklaitis, J. Pekny, D. Subramanian, 2001, AIChE Journal.

A simulation—optimization framework for addressing combinatorial and stochastic aspects of an R&D pipeline management problem

Gintaras V. Reklaitis, Joseph F. Pekny, Dharmashankar Subramanian, 2000 .

Simulation-optimization framework for stochastic optimization of R&D pipeline management

Gintaras V. Reklaitis, Joseph F. Pekny, Dharmashankar Subramanian, 2003 .

Self-Supervised Contrastive Pre-Training for Multivariate Point Processes

Tian Gao, D. Subramanian, D. Bhattacharjya, 2024, 2402.00987.

PANDEMIC BUSINESS IMPACT MODELER

Stephen J. Buckley, Dharmashankar Subramanian, Ching-Hua Chen-Ritzo, 2007 .

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

Tian Gao, D. Subramanian, Kristin P. Bennett, 2021, BCB.

Matching table metadata with business glossaries using large language models

D. Subramanian, Nandana Mihindukulasooriya, Oktie Hassanzadeh, 2023, OM@ISWC.

Dynamic Optimization Strategies for Three-Dimensional Conflict Resolution of Multiple Aircraft

Lorenz T. Biegler, Tariq Samad, Dharmashankar Subramanian, 2004 .