Publications

Rohit Sonker^*, Alexandre Capone^*, Andrew Rothstein, Hiro Farre, Egemen Kolemen, Jeff Schneider**
“Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks”.
*International Conference on Machine Learning (ICML), 2025. _{^* Equal contribution}

Andy Rothstein, Hiro Farre, Rohit Sonker, SangKyeun Kim, Azarakhsh Jalalvand, Jeff Schneider, Egemen Kolemen “Preemptive tearing mode suppression using real-time ECH steering machine learning stability predictions on DIII-D”, Bulletin of the American Physical Society, 2024

Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann “Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios”, International Conference for Learning Representations (ICLR) , 2022

R. Sonker and A. Dutta, “Adding Terrain Height to Improve Model Learning for Path Tracking on Uneven Terrain by a Four Wheel Robot” in IEEE Robotics and Automation Letters, Jan. 2021

Rohit Sonker, Ayush Mishra, Palvika Bansal, Anup Pattnaik “Techniques for Medical Concept Identification from Multi-Modal Images” in CEUR Workshop Proceedings and CLEF 2020 Conference Greece 2020 (Oral)