Sriram Gopalakrishnan

According to our database, Sriram Gopalakrishnan authored at least 25 papers between 2009 and 2024.

Collaborative distances:

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

2024

On the arithmetic complexity of computing Gröbner bases of comaximal determinantal ideals.

Sriram Gopalakrishnan

CoRR, 2024

Optimized Gröbner basis algorithms for maximal determinantal ideals and critical point computations.

Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din

CoRR, 2024

Synthetic Data Applications in Finance.

Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch

CoRR, 2024

SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies.

Haochen Wu, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SafeAR: Towards Safer Algorithmic Recourse by Risk-Aware Policies.

Haochen Wu, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan

CoRR, 2023

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments.

Tung Thai, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Utkarsh Soni, Mudit Verma, Sriram Gopalakrishnan, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz

CoRR, 2023

Refined $F_5$ Algorithms for Ideals of Minors of Square Matrices.

Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din

CoRR, 2023

On the Constrained Time-Series Generation Problem.

Andrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko

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

Refined F5 Algorithms for Ideals of Minors of Square Matrices.

Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din

Proceedings of the 2023 International Symposium on Symbolic and Algebraic Computation, 2023

Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections.

Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments.

Tung Thai, Mudit Verma, Utkarsh Soni, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Neeraj Varshney, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

pyRDDLGym: From RDDL to Gym Environments.

Ayal Taitler, Michael Gimelfarb, Sriram Gopalakrishnan, Xiaotian Liu, Scott Sanner

CoRR, 2022

Minimizing Robot Navigation Graph for Position-Based Predictability by Humans.

Sriram Gopalakrishnan, Subbarao Kambhampati

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Assignment and Prioritization of Tasks with Uncertain Durations for Satisfying Makespans in Decentralized Execution.

Sriram Gopalakrishnan, Daniel Borrajo

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

Synthesizing Policies That Account For Human Execution Errors Caused By State-Aliasing In Markov Decision Processes.

Sriram Gopalakrishnan, Mudit Verma, Subbarao Kambhampati

CoRR, 2021

Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver.

Sriram Gopalakrishnan, Utkarsh Soni, Tung Thai, Panagiotis Lymperopoulos, Matthias Scheutz, Subbarao Kambhampati

CoRR, 2021

2020

Goal recognition via model-based and model-free techniques.

Daniel Borrajo, Sriram Gopalakrishnan, Vamsi K. Potluru

CoRR, 2020

Model Minimization For Online Predictability.

Sriram Gopalakrishnan, Subbarao Kambhampati

CoRR, 2020

Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences.

Sriram Gopalakrishnan, Utkarsh Soni

CoRR, 2020

Embedding Directed Graphs in Potential Fields Using FastMap-D.

Sriram Gopalakrishnan, Liron Cohen, Sven Koenig, T. K. Satish Kumar

Proceedings of the Thirteenth International Symposium on Combinatorial Search, 2020

2018

TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains.

Sriram Gopalakrishnan, Subbarao Kambhampati

CoRR, 2018

Learning task hierarchies using statistical semantics and goal reasoning.

Sriram Gopalakrishnan, Héctor Muñoz-Avila, Ugur Kuter

AI Commun., 2018

Recognizing Plans by Learning Embeddings from Observed Action Distributions.

Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Automated learning of hierarchical task networks for controlling minecraft agents.

Chanh Nguyen, Noah Reifsnyder, Sriram Gopalakrishnan, Héctor Muñoz-Avila

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2017

2009

Elastance control of a mock circulatory system for ventricular assist device test.

Yih-Choung Yu, Sriram Gopalakrishnan

Proceedings of the American Control Conference, 2009