Sriram Gopalakrishnan

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 30

Top Topics

Travel Planning

Markov Decision Process

Graph Embedding

Top Venues

Publications

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
Synthetic Data Applications in Finance. CoRR (2024)
Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din
Optimized Gröbner basis algorithms for maximal determinantal ideals and critical point computations. ISSAC (2024)
Haochen Wu, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies. AAAI (2024)
Sriram Gopalakrishnan
On the arithmetic complexity of computing Gröbner bases of comaximal determinantal ideals. CoRR (2024)
Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din
Optimized Gröbner basis algorithms for maximal determinantal ideals and critical point computations. CoRR (2024)
Tomás de la Rosa, Sriram Gopalakrishnan, Alberto Pozanco, Zhen Zeng, Daniel Borrajo
TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners. CoRR (2024)
Andrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko
On the Constrained Time-Series Generation Problem. NeurIPS (2023)
Haochen Wu, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan
SafeAR: Towards Safer Algorithmic Recourse by Risk-Aware Policies. CoRR (2023)
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
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. AAMAS (2023)
Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. ICAIF (2023)
Tung Thai, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Utkarsh Soni, Mudit Verma, Sriram Gopalakrishnan, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. CoRR (2023)
Andrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko
On the Constrained Time-Series Generation Problem. CoRR (2023)
Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din
Refined F5 Algorithms for Ideals of Minors of Square Matrices. ISSAC (2023)
Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din
Refined $F_5$ Algorithms for Ideals of Minors of Square Matrices. CoRR (2023)
Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. CoRR (2023)
Ayal Taitler, Michael Gimelfarb, Sriram Gopalakrishnan, Xiaotian Liu, Scott Sanner
pyRDDLGym: From RDDL to Gym Environments. CoRR (2022)
Sriram Gopalakrishnan, Daniel Borrajo
Assignment and Prioritization of Tasks with Uncertain Durations for Satisfying Makespans in Decentralized Execution. ICAPS (2022)
Sriram Gopalakrishnan, Subbarao Kambhampati
Minimizing Robot Navigation Graph for Position-Based Predictability by Humans. AAMAS (2022)
Sriram Gopalakrishnan, Utkarsh Soni, Tung Thai, Panagiotis Lymperopoulos, Matthias Scheutz, Subbarao Kambhampati
Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver. CoRR (2021)
Sriram Gopalakrishnan, Mudit Verma, Subbarao Kambhampati
Synthesizing Policies That Account For Human Execution Errors Caused By State-Aliasing In Markov Decision Processes. CoRR (2021)
Sriram Gopalakrishnan, Subbarao Kambhampati
Model Minimization For Online Predictability. CoRR (2020)
Sriram Gopalakrishnan, Liron Cohen, Sven Koenig, T. K. Satish Kumar
Embedding Directed Graphs in Potential Fields Using FastMap-D. CoRR (2020)
Daniel Borrajo, Sriram Gopalakrishnan, Vamsi K. Potluru
Goal recognition via model-based and model-free techniques. CoRR (2020)
Sriram Gopalakrishnan, Utkarsh Soni
Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences. CoRR (2020)
Sriram Gopalakrishnan, Liron Cohen, Sven Koenig, T. K. Satish Kumar
Embedding Directed Graphs in Potential Fields Using FastMap-D. SOCS (2020)
Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati
Recognizing Plans by Learning Embeddings from Observed Action Distributions. AAMAS (2018)
Sriram Gopalakrishnan, Subbarao Kambhampati
TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains. CoRR (2018)
Sriram Gopalakrishnan, Héctor Muñoz-Avila, Ugur Kuter
Learning task hierarchies using statistical semantics and goal reasoning. AI Commun. 31 (2) (2018)
Chanh Nguyen, Noah Reifsnyder, Sriram Gopalakrishnan, Héctor Muñoz-Avila
Automated learning of hierarchical task networks for controlling minecraft agents. CIG (2017)
Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati
Recognizing Plans by Learning Embeddings from Observed Action Distributions. CoRR (2017)
Yih-Choung Yu, Sriram Gopalakrishnan
Elastance control of a mock circulatory system for ventricular assist device test. ACC (2009)