Sriram Gopalakrishnan

38 papers A* 3A 4B 3C 1Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Don't Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows. CoRR Sriram Gopalakrishnan
2025	J	`jnl`	GenPlanX. Generation of Plans and Execution. CoRR Daniel Borrajo, Giuseppe Canonaco, Tomás de la Rosa, Alfredo Garrachón Ruiz, Sriram Gopalakrishnan, Simerjot Kaur, Marianela Morales, Sunandita Patra, Alberto Pozanco, Keshav Ramani, Charese Smiley, Pietro Totis, Manuela Veloso
2025	A	`conf`	On Learning Action Costs from Input Plans. ECAI Marianela Morales, Alberto Pozanco, Giuseppe Canonaco, Sriram Gopalakrishnan, Daniel Borrajo, Manuela Veloso
2025	J	`jnl`	QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort. CoRR Sriram Gopalakrishnan, Sunandita Patra
2025	J	`jnl`	Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation. Trans. Mach. Learn. Res. Vaibhav Seth, Ayan Sengupta, Arinjay Pathak, Aastha A K. Verma, Natraj Raman, Sriram Gopalakrishnan, Niladri Chatterjee, Tanmoy Chakraborty
2024	J	`jnl`	On Learning Action Costs from Input Plans. CoRR Marianela Morales, Alberto Pozanco, Giuseppe Canonaco, Sriram Gopalakrishnan, Daniel Borrajo, Manuela Veloso
2024	J	`jnl`	On the arithmetic complexity of computing Gröbner bases of comaximal determinantal ideals. CoRR Sriram Gopalakrishnan
2024	B	`conf`	Optimized Gröbner basis algorithms for maximal determinantal ideals and critical point computations. ISSAC Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din
2024	J	`jnl`	Optimized Gröbner basis algorithms for maximal determinantal ideals and critical point computations. CoRR Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din
2024	J	`jnl`	Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation. CoRR Ayan Sengupta, Vaibhav Seth, Arinjay Pathak, Natraj Raman, Sriram Gopalakrishnan, Tanmoy Chakraborty
2024	A*	`conf`	SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies. AAAI Haochen Wu, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan
2024	J	`jnl`	Synthetic Data Applications in Finance. CoRR 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
2024	J	`jnl`	TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners. CoRR Tomás de la Rosa, Sriram Gopalakrishnan, Alberto Pozanco, Zhen Zeng, Daniel Borrajo
2023	A	`conf`	Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. AAMAS 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
2023	J	`jnl`	Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. CoRR Tung Thai, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Utkarsh Soni, Mudit Verma, Sriram Gopalakrishnan, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz
2023	—	`conf`	Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. ICAIF Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2023	J	`jnl`	Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. CoRR Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso
2023	A*	`conf`	On the Constrained Time-Series Generation Problem. NeurIPS Andrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko
2023	J	`jnl`	On the Constrained Time-Series Generation Problem. CoRR Andrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko
2023	J	`jnl`	Refined $F_5$ Algorithms for Ideals of Minors of Square Matrices. CoRR Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din
2023	B	`conf`	Refined F5 Algorithms for Ideals of Minors of Square Matrices. ISSAC Sriram Gopalakrishnan, Vincent Neiger, Mohab Safey El Din
2023	J	`jnl`	SafeAR: Towards Safer Algorithmic Recourse by Risk-Aware Policies. CoRR Haochen Wu, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan
2022	A*	`conf`	Assignment and Prioritization of Tasks with Uncertain Durations for Satisfying Makespans in Decentralized Execution. ICAPS Sriram Gopalakrishnan, Daniel Borrajo
2022	A	`conf`	Minimizing Robot Navigation Graph for Position-Based Predictability by Humans. AAMAS Sriram Gopalakrishnan, Subbarao Kambhampati
2022	J	`jnl`	pyRDDLGym: From RDDL to Gym Environments. CoRR Ayal Taitler, Michael Gimelfarb, Sriram Gopalakrishnan, Xiaotian Liu, Scott Sanner
2021	J	`jnl`	Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver. CoRR Sriram Gopalakrishnan, Utkarsh Soni, Tung Thai, Panagiotis Lymperopoulos, Matthias Scheutz, Subbarao Kambhampati
2021	J	`jnl`	Synthesizing Policies That Account For Human Execution Errors Caused By State-Aliasing In Markov Decision Processes. CoRR Sriram Gopalakrishnan, Mudit Verma, Subbarao Kambhampati
2020	B	`conf`	Embedding Directed Graphs in Potential Fields Using FastMap-D. SOCS Sriram Gopalakrishnan, Liron Cohen, Sven Koenig, T. K. Satish Kumar
2020	J	`jnl`	Embedding Directed Graphs in Potential Fields Using FastMap-D. CoRR Sriram Gopalakrishnan, Liron Cohen, Sven Koenig, T. K. Satish Kumar
2020	J	`jnl`	Goal recognition via model-based and model-free techniques. CoRR Daniel Borrajo, Sriram Gopalakrishnan, Vamsi K. Potluru
2020	J	`jnl`	Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences. CoRR Sriram Gopalakrishnan, Utkarsh Soni
2020	J	`jnl`	Model Minimization For Online Predictability. CoRR Sriram Gopalakrishnan, Subbarao Kambhampati
2018	J	`jnl`	Learning task hierarchies using statistical semantics and goal reasoning. AI Commun. Sriram Gopalakrishnan, Héctor Muñoz-Avila, Ugur Kuter
2018	A	`conf`	Recognizing Plans by Learning Embeddings from Observed Action Distributions. AAMAS Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati
2018	J	`jnl`	TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains. CoRR Sriram Gopalakrishnan, Subbarao Kambhampati
2017	—	`conf`	Automated learning of hierarchical task networks for controlling minecraft agents. CIG Chanh Nguyen, Noah Reifsnyder, Sriram Gopalakrishnan, Héctor Muñoz-Avila
2017	J	`jnl`	Recognizing Plans by Learning Embeddings from Observed Action Distributions. CoRR Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati
2009	C	`conf`	Elastance control of a mock circulatory system for ventricular assist device test. ACC Yih-Choung Yu, Sriram Gopalakrishnan