Sasidhar Kunapuli

NA, University of California, Berkeley

Joined

October 2024

Names

Sasidhar Kunapuli (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

University of California, Berkeley (berkeley.edu)

2025 – Present

University of California, Santa Cruz (ucsc.edu)

2024 – 2025

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Improved Sample Complexity Bounds For Diffusion Model Training Without Empirical Risk Minimizer Access
Mudit Gaur, Prashant Trivedi, Sasidhar Kunapuli, Amrit Singh Bedi, Vaneet Aggarwal
- Accepted by TMLR
- Readers: Everyone
Data Selection and Active Learning via Low-Rank Approximation
Vincent Cohen-Addad, Sasidhar Kunapuli, Vahab Mirrokni, Mahdi Nikdan, David Woodruff, Samson Zhou
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Continuous Symmetry Discovery and Enforcement for Image Data
Ben Shaw, Sasidhar Kunapuli, Abram Magner, Kevin R. Moon
- Submitted to ICLR 2026
- Readers: Everyone
Improved Sample Complexity Bounds For Diffusion Model Training Without Empirical Risk Minimizer Access
Mudit Gaur, Prashant Trivedi, Sasidhar Kunapuli, Amrit Singh Bedi, Vaneet Aggarwal
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Differentially Private Wasserstein Barycenters
Anming Gu, Sasidhar Kunapuli, Edward Chien, Mark Bun, Kristjan Greenewald
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons
Shaona Ghosh, Heather Frase, Adina Williams, Sarah Luger, Paul Röttger, Fazl Barez, Sean McGregor, Kenneth Fricklas, Mala Kumar, Quentin Feuillade--Montixi, Kurt Bollacker, Felix Friedrich, Ryan Tsang, Bertie Vidgen, Alicia Parrish, Chris Knotz, Eleonora Presani, Jonathan Bennion, Marisa Ferrara Boston, Mike Kuniavsky et al. (81 additional authors not shown)
- CoRR 2025
- Readers: Everyone
A Survey of Small Language Models
Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu et al. (8 additional authors not shown)
- CoRR 2024
- Readers: Everyone

Co-Authors

View all 143 co-authors

Sasidhar Kunapuli

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Improved Sample Complexity Bounds For Diffusion Model Training Without Empirical Risk Minimizer Access

Data Selection and Active Learning via Low-Rank Approximation

Continuous Symmetry Discovery and Enforcement for Image Data

Improved Sample Complexity Bounds For Diffusion Model Training Without Empirical Risk Minimizer Access

Differentially Private Wasserstein Barycenters

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons

A Survey of Small Language Models

Co-Authors