3 citations · 3 across the 5 of their papers we have counts for
5 papers
Approximate Colorwise Tensorization of Entropy and Optimal Mixing of the Wang-Swendsen-Kotecký Dynamics
Chunyang Wang, Yuichi Yoshida, Zihan Zhang
We study the mixing time of Wang-Swendsen-Kotecký (WSK) dynamics for uniformly sampling proper -colorings. The WSK dynamics is widely used in statistical physics for sampling fr…
Sensitivity Lower Bounds via Locally Testable Codes
Yuichi Yoshida, Zihan Zhang
Sensitivity quantifies how far an algorithm's output can move in Hamming distance when a single input element is perturbed. We present a general scheme turning any locally testable…
Noise Stability of Transformer Models
Themistoklis Haris, Zihan Zhang, Yuichi Yoshida
Understanding simplicity biases in deep learning offers a promising path toward developing reliable AI. A common metric for this, inspired by Boolean function analysis, is average…
Low-Sensitivity Matching via Sampling from Gibbs Distributions
Yuichi Yoshida, Zihan Zhang
In this work, we study the maximum matching problem from the perspective of sensitivity. The sensitivity of an algorithm on a graph is defined as the maximum Wasserstein di…
Reconstructing short-lived particles using hypergraph representation learning
Callum Birch-Sykes, Brian Le, Yvonne Peters +2
In collider experiments, the kinematic reconstruction of heavy, short-lived particles is vital for precision tests of the Standard Model and in searches for physics beyond it. Perf…