Ameesh Shah

Berkeley College — United States

Computer Science · Physical Sciences

2h-index17citations7works0.02yr avg
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Research Topics

Machine Learning and Algorithms(3), Natural Language Processing Techniques(2), Explainable Artificial Intelligence (XAI)(2), Neural Networks and Applications(1), Multi-Agent Systems and Negotiation(1)

Publications7 total

Learning Affordances at Inference-Time for Vision-Language-Action Models
arXiv (Cornell University)·2025Open Access
Learning Symbolic Task Decompositions for Multi-Agent Teams
2025
Learning Symbolic Task Decompositions for Multi-Agent Teams
arXiv (Cornell University)·2025Open Access
Modeling and Influencing Human Attentiveness in Autonomy-to-Human Perception Hand-offs
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)·2022· 1 cited
Learning Differentiable Programs with Admissible Neural Heuristics
arXiv (Cornell University)·2020· 6 citedOpen Access
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks
arXiv (Cornell University)·2019· 10 citedOpen Access
Finite Automata Can be Linearly Decoded from Language-Recognizing RNNs
International Conference on Learning Representations·2019

Frequent Co-authors

Sanjit A. Seshia(4), Joshua Michalenko(2), Abhinav Verma(2), Swarat Chaudhuri(2), Niklas Lauffer(2), Nikhil Pitta(2), Richard G. Baraniuk(1), Ankit Patel(1), Eric Zhan(1), Jennifer J. Sun(1), Yisong Yue(1), Yash Vardhan Pant(1), Balasaravanan Thoravi Kumaravel(1), Erin Kraemer(1), Marcell Vazquez-Chanlatte(1), Kshitij Kulkarni(1), Bjoern Hartmann(1), William Chen(1), Adwait Godbole(1), Federico Mora(1)