Yatong Bai

According to our database, Yatong Bai authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers.

Yatong Bai, Mo Zhou, Vishal M. Patel, Somayeh Sojoudi

CoRR, 2024

Let's Go Shopping (LGS) - Web-Scale Image-Text Dataset for Visual Concept Understanding.

Yatong Bai, Utsav Garg, Apaar Shanker, Haoming Zhang, Samyak Parajuli, Erhan Bas, Isidora Filipovic, Amelia N. Chu, Eugenia D. Fomitcheva, Elliot Branson, Aerin Kim, Somayeh Sojoudi, Kyunghyun Cho

CoRR, 2024

2023

Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training.

Yatong Bai, Tanmay Gautam, Somayeh Sojoudi

SIAM J. Math. Data Sci., June, 2023

Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off.

Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi

CoRR, 2023

Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation.

Yatong Bai, Trung Dang, Dung N. Tran, Kazuhito Koishida, Somayeh Sojoudi

CoRR, 2023

Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing.

Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi

CoRR, 2023

Initial State Interventions for Deconfounded Imitation Learning.

Samuel Pfrommer, Yatong Bai, Hyunin Lee, Somayeh Sojoudi

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training.

Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi

Proceedings of the American Control Conference, 2022

2021

Practical Convex Formulation of Robust One-hidden-layer Neural Network Training.

Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi

CoRR, 2021