4 papers
Classification of events from -induced reactions in the MUSIC detector via statistical and ML methods
Krishnan Raghavan, Melina L. Avila, Prasanna Balaprakash +2
The Multi-Sampling Ionization Chamber (MUSIC) detector is typically used to measure nuclear reaction cross sections relevant for nuclear astrophysics, fusion studies, and other app…
Cooperative Deep -learning Framework for Environments Providing Image Feedback
Krishnan Raghavan, Vignesh Narayanan, Jagannathan Sarangapani
In this paper, we address two key challenges in deep reinforcement learning setting, sample inefficiency and slow learning, with a dual NN-driven learning approach. In the proposed…
Learning to Control using Image Feedback
Krishnan Raghavan, Vignesh Narayanan, Jagannathan Saraangapani
Learning to control complex systems using non-traditional feedback, e.g., in the form of snapshot images, is an important task encountered in diverse domains such as robotics, neur…
Machine learning-based inversion of nuclear responses
Krishnan Raghavan, Prasanna Balaprakash, Alessandro Lovato +2
A microscopic description of the interaction of atomic nuclei with external electroweak probes is required for elucidating aspects of short-range nuclear dynamics and for the corre…