Mohit Prashant

Mohit Prashant

I am an AI researcher with a focus in machine learning safety and risk. My PhD work is in deriving probabilistic guarantees for RL systems and agents using learning theory (PAC framework).

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2025

We provide a basis for defining out-of-distribution execution in RL and provide a framework for detection with guarantees.

Recommended citation: Prashant, Mohit, et al. "Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation". Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 39. No. 12. 2025.
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PAC-Based Formal Verification for Out-of-Distribution Data Detection

Published in IEEE International Conference on System Reliability and Safety, 2022

We present a technique for detecting OOD instances in autonomous driving with PAC guarantees.

Recommended citation: Prashant, Mohit, and Arvind Easwaran. "PAC-Based Formal Verification for Out-of-Distribution Data Detection." 2022 6th International Conference on System Reliability and Safety (ICSRS). IEEE, 2022.
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Generative Adversarial Masking (Student Paper)

Published in International Student Conference on Artificial Intelligence, 2021

A novel technique for efficient regularization in supervised learning using GANs for adversarial masking using semantic information.

Recommended citation: Prashant, Mohit. "Generative Adversarial Masking" International Student Conference on Artificial Intelligence. 2021.
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