Research
I have been involved in multiple research groups during my undergrad years, mainly focused on different areas of machine learning. It has been a lot of fun, however I’m not currently planning to pursue research in the future.
- Computational Cameras Group @ Caltech
- SIGNAL Lab @ Colorado State University
- Mechanistic interpretability research w/ Prof. Tony Yue Yu @ Caltech
- Climate Modeling Alliance (CliMA) @ Caltech
Text-Guided Image Restoration via a Unified Plug-and-Play Diffusion Framework
Brady Bhalla*, Zachary Huang*, Elyes Serghine*, Bingliang Zhang, Zihui Wu, Katherine L. Bouman (* equal contribution)
CVPR Computational Cameras and Displays Workshop, 2025
TRACE: Real-Time Multimodal Common Ground Tracking in Situated Collaborative Dialogues
Hannah VanderHoeven, Brady Bhalla, Ibrahim Khebour, Austin C. Youngren, Videep Venkatesha, Mariah Bradford, Jack Fitzgerald, Carlos Mabrey, Jingxuan Tu, Yifan Zhu, Kenneth Lai, Changsoo Jung, James Pustejovsky, Nikhil Krishnaswamy
NAACL: System Demonstrations, 2025
Propositional Extraction from Collaborative Naturalistic Dialogues
Videep Venkatesha, Abhijnan Nath, Ibrahim Khebour, Avyakta Chelle, Mariah Bradford, Jingxuan Tu, Hannah VanderHoeven, Brady Bhalla, Austin Youngren, Jack Fitzgerald, James Pustejovsky, Nathaniel Blanchard, Nikhil Krishnaswamy
Journal of Educational Data Mining, 17(1), 183-216., 2025
Higher Embedding Dimension Creates a Stronger World Model for a Simple Sorting Task
Brady Bhalla, Honglu Fan, Nancy Chen, Tony Yue YU
NeurIPS Mechanistic Interpretability Workshop, 2025