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ORCIDSriram Gopalakrishnan
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2020 – today
- 2024
[c12]Haochen Wu
, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan:
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies. AAAI 2024: 15915-15923- [c11]Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din:
Optimized Gröbner basis algorithms for maximal determinantal ideals and critical point computations. ISSAC 2024: 400-409 - [i20]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 abs/2401.00081 (2024) - [i19]Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din:
Optimized Gröbner basis algorithms for maximal determinantal ideals and critical point computations. CoRR abs/2402.07353 (2024) - [i18]Sriram Gopalakrishnan:
On the arithmetic complexity of computing Gröbner bases of comaximal determinantal ideals. CoRR abs/2403.02160 (2024) - [i17]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 abs/2406.10196 (2024) - [i16]Marianela Morales, Alberto Pozanco, Giuseppe Canonaco, Sriram Gopalakrishnan, Daniel Borrajo, Manuela Veloso:
On Learning Action Costs from Input Plans. CoRR abs/2408.10889 (2024) - [i15]Ayan Sengupta, Vaibhav Seth, Arinjay Pathak, Natraj Raman, Sriram Gopalakrishnan, Tanmoy Chakraborty:
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation. CoRR abs/2411.04358 (2024) - 2023
- [c10]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: 2385-2387 - [c9]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: 498-506 - [c8]Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din:
Refined F5 Algorithms for Ideals of Minors of Square Matrices. ISSAC 2023: 270-279 - [c7]Andrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko:
On the Constrained Time-Series Generation Problem. NeurIPS 2023 - [i14]Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din:
Refined $F_5$ Algorithms for Ideals of Minors of Square Matrices. CoRR abs/2302.05375 (2023) - [i13]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 abs/2302.14208 (2023) - [i12]Andrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko:
On the Constrained Time-Series Generation Problem. CoRR abs/2307.01717 (2023) - [i11]Haochen Wu, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan:
SafeAR: Towards Safer Algorithmic Recourse by Risk-Aware Policies. CoRR abs/2308.12367 (2023) - [i10]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 abs/2309.16741 (2023) - 2022
- [c6]Sriram Gopalakrishnan, Daniel Borrajo:
Assignment and Prioritization of Tasks with Uncertain Durations for Satisfying Makespans in Decentralized Execution. ICAPS 2022: 119-123 - [c5]Sriram Gopalakrishnan, Subbarao Kambhampati:
Minimizing Robot Navigation Graph for Position-Based Predictability by Humans. AAMAS 2022: 1604-1606 - [i9]Ayal Taitler, Michael Gimelfarb, Sriram Gopalakrishnan, Xiaotian Liu, Scott Sanner:
pyRDDLGym: From RDDL to Gym Environments. CoRR abs/2211.05939 (2022) - 2021
- [i8]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 abs/2107.04303 (2021) - [i7]Sriram Gopalakrishnan, Mudit Verma, Subbarao Kambhampati:
Synthesizing Policies That Account For Human Execution Errors Caused By State-Aliasing In Markov Decision Processes. CoRR abs/2109.07436 (2021) - 2020
- [c4]Sriram Gopalakrishnan, Liron Cohen, Sven Koenig, T. K. Satish Kumar:
Embedding Directed Graphs in Potential Fields Using FastMap-D. SOCS 2020: 48-56 - [i6]Sriram Gopalakrishnan, Utkarsh Soni:
Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences. CoRR abs/2002.06288 (2020) - [i5]Sriram Gopalakrishnan, Liron Cohen, Sven Koenig, T. K. Satish Kumar:
Embedding Directed Graphs in Potential Fields Using FastMap-D. CoRR abs/2006.03112 (2020) - [i4]Sriram Gopalakrishnan, Subbarao Kambhampati:
Model Minimization For Online Predictability. CoRR abs/2010.15255 (2020) - [i3]Daniel Borrajo, Sriram Gopalakrishnan, Vamsi K. Potluru:
Goal recognition via model-based and model-free techniques. CoRR abs/2011.01832 (2020)
2010 – 2019
- 2018
- [j1]Sriram Gopalakrishnan, Héctor Muñoz-Avila, Ugur Kuter:
Learning task hierarchies using statistical semantics and goal reasoning. AI Commun. 31(2): 167-180 (2018) - [c3]Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati:
Recognizing Plans by Learning Embeddings from Observed Action Distributions. AAMAS 2018: 2153-2155 - [i2]Sriram Gopalakrishnan, Subbarao Kambhampati:
TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains. CoRR abs/1811.09900 (2018) - 2017
- [c2]Chanh Nguyen, Noah Reifsnyder, Sriram Gopalakrishnan, Héctor Muñoz-Avila:
Automated learning of hierarchical task networks for controlling minecraft agents. CIG 2017: 226-231 - [i1]Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati:
Recognizing Plans by Learning Embeddings from Observed Action Distributions. CoRR abs/1712.01949 (2017)
2000 – 2009
- 2009
- [c1]Yih-Choung Yu, Sriram Gopalakrishnan:
Elastance control of a mock circulatory system for ventricular assist device test. ACC 2009: 1009-1014
Coauthor Index
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