Yansong Gao

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2024
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy.
CoRR, 2024

Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects.
CoRR, 2024

2023
Horizontal Class Backdoor to Deep Learning.
CoRR, 2023

Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis.
CoRR, 2023

Orientation-based Feature Aggregation for Multi-Target Multi-Camera Tracking.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

2022
Beyond the worst-case analysis of random priority: Smoothed and average-case approximation ratios in mechanism design.
Inf. Comput., 2022

On Scheduling Mechanisms Beyond the Worst Case.
CoRR, 2022

Deep Reference Priors: What is the best way to pretrain a model?
Proceedings of the International Conference on Machine Learning, 2022

2021
A free-energy principle for representation learning.
Mach. Learn. Sci. Technol., 2021

An Information-Geometric Distance on the Space of Tasks.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Average-case Analysis of the Assignment Problem with Independent Preferences.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017
Smoothed and Average-Case Approximation Ratios of Mechanisms: Beyond the Worst-Case Analysis.
Proceedings of the 42nd International Symposium on Mathematical Foundations of Computer Science, 2017


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