Gouri Shanker

Biography

Gouri Shanker is a PhD student working on generative modeling and inverse problems, with a focus on optimization-based methods and the theoretical foundations of machine learning. His research interests include flow matching models, energy-based formulations, constrained optimization.

Publications

2026

ICML-W 26
Velocity Adaptation for Flow-Matching Models

S. S. Praneeth, G. Shanker, H. Dubey, and C. S. Seelamantula

In ICML 2026 Workshop on Foundations of Deep Generative Models: Understanding Memorization, Generalization, and Reasoning, Apr 2026

Cite Download .bib $@inproceedings{praneeth2026velocity, author = {Praneeth, S. S. and Shanker, G. and Dubey, H. and Seelamantula, C. S.}, booktitle = {ICML 2026 Workshop on Foundations of Deep Generative Models: Understanding Memorization, Generalization, and Reasoning}, title = {Velocity Adaptation for Flow-Matching Models}, url = {https://openreview.net/forum?id=tdIwEN0fCi}, year = {2026} }$ Link
@inproceedings{praneeth2026velocity, author = {Praneeth, S. S. and Shanker, G. and Dubey, H. and Seelamantula, C. S.}, booktitle = {ICML 2026 Workshop on Foundations of Deep Generative Models: Understanding Memorization, Generalization, and Reasoning}, title = {Velocity Adaptation for Flow-Matching Models}, url = {https://openreview.net/forum?id=tdIwEN0fCi}, year = {2026} }