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I’m a PhD student in the Cyber-physical Systems Group at Aalto University, Finland, supervised by Prof. Dominik Baumann and Prof. Shankar Deka. I’m also affiliated with the Finnish Center for Artificial Intelligence.
My research sits at the intersection of machine learning, computational statistics, and autonomous control. I’m interested in making learning-based methods safer, computationally lightweight, and more robust for applications in robotics and healthcare.
Outside of this, I’m into photography, filmmaking, film-watching, and noodling on my acoustic guitar.
News
- August 2026: Our paper “Computationally efficient safe exploration in reinforcement learning” was accepted to CDC 2026. See you in Honolulu, Hawaii!
- May 2026: I presented our paper “Computationally lightweight classifiers with frequentist bounds on predictions” at AISTATS 2026, in Tangier, Morocco.
- November 2025: I presented our poster on Nadaraya–Watson classifiers at the Nordic AI Meet, FCAI AI Day, and the IEEE Finland Workshop on Emerging Trends in Automatic Control.
Selected publications
Computationally efficient safe exploration in reinforcement learning
Shreeram Murali, Shankar Deka, and Dominik Baumann
arXiv preprint accepted to the IEEE Conference on Decision and Control (CDC), 2026
Computationally lightweight classifiers with frequentist bounds on prediction errors
Shreeram Murali, Cristian R. Rojas, and Dominik Baumann
International Conference on Artificial Intelligence and Statistics (AISTATS), 2026