Chaitanya Amballa
PhD Student, ECE · University of Illinois Urbana–Champaign
SiNRG · advised by Prof. Romit Roy Choudhury
My research lies at the intersection of generative modeling, signal processing, and learning for spatial inference. More recently, I am interested in diffusion models for inverse problems. I also received an MS degree in ECE from UIUC. In a previous life, I have worked on reinforcement learning, bandits, and wireless networks, as a researcher at TCS Research under Dr. Sanjay Bhat. I received my B.Tech. in Electrical Engineering from IIT Tirupati, advised by Prof. K. P. Naveen.
amballa2@illinois.edu
News
- Sep 2026ΔLPS accepted to NeurIPS 2026
- Jul 2026AVMeme Exam accepted to COLM 2026
- Jun 2026ΔLPS accepted to SPIGM Workshop at ICML 2026
- Jun 2026MiNAF accepted to Interspeech 2026
- Jun 2026AudioCoGuide accepted to ML for Audio Workshop at ICML 2026
- May 2026Back at Amazon in Boston for the summer! ☀️
- Apr 2026Received Shun Lien Chuang Memorial Award
- Feb 2026Best Poster Award at HotMobile 2026
- Jan 2026CoGuide accepted to ICLR 2026
- Sep 2025EchoNeRF accepted to NeurIPS 2025
- May 2025Joined Amazon as an Applied Scientist Intern
- May 2025Graduated with an M.S. in ECE from UIUC
- Apr 2025Received Qualcomm Graduate Award
Preprints (*=equal contribution)
Publications (*=equal contribution, =highlights)
We propose ΔLPS, a training-free posterior sampler that works entirely in discrete space with parallel token updates, for any discrete diffusion prior.
We reconstruct indoor floorplans from sparse user trajectories by steering a diffusion prior with a (surrogate) likelihood score from a contrastive trajectory–layout embedding space.
We adapt NeRFs to learn from multipath RF/audio signals to infer indoor structure without cameras, enabling floorplan reconstruction and forward tasks like signal prediction.
Miscellaneous
Selected Coursework
- ECE 598: Deep Generative Models
- CS 598: Generative Models for Audio
- ECE 549: Computer Vision
- ECE 534: Random Processes
- ECE 586: MDPs and Reinforcement Learning
- ECE 490: Introduction to Optimization