Publications and Reports
Yatong Bai, University of California, Berkeley
Preprint Papers
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers,
ArXiv preprint arXiv:2402.02263, 2024.
Yatong Bai, Mo Zhou, Vishal M. Patel, and Somayeh Sojoudi.
Project code available at github.com/Bai-YT/MixedNUTS.
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation,
ArXiv preprint arXiv:2309.10740, 2023.
Yatong Bai, Trung Dang, Dung Tran, Kazuhito Koishida, and Somayeh Sojoudi.
Project website consistency-tta.github.io.
Project code available at github.com/Bai-YT/ConsistencyTTA.
Model checkpoints available at huggingface.co/Bai-YT/ConsistencyTTA.
Result presented on PapersWithCode.
Work done during internship at Microsoft (Applied Science Group).
Let's Go Shopping (LGS) —
Web-Scale Image-Text Dataset for Visual Concept Understanding,
ArXiv preprint arXiv:2401.04575, 2024.
Yatong Bai, Utsav Garg, Erhan Bas, Isidora Filipovic, Apaar Shanker,
Haoming Zhang, Samyak Parajuli, Amelia N. Chu, Eugenia D Fomitcheva,
Elliot Branson, Aerin Kim, Somayeh Sojoudi, and Kyunghyun Cho.
Work done during internship at Scale AI.
Conference Papers
Initial State Interventions for Deconfounded Imitation Learning,
in the IEEE Conference on Decision and Control (CDC), 2023.
Samuel Pfrommer, Yatong Bai, Hyunin Lee, Somayeh Sojoudi.
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off, 2023.
Yatong Bai, Brendon G. Anderson, and Somayeh Sojoudi.
Practical Convex Formulation of Robust One-Hidden-Layer Neural Network Training,
in American Control Conference (ACC), 2022.
Yatong Bai, Tanmay Gautam, Yu Gai, and Somayeh Sojoudi.
|