activity
20102026
most citedSpectral Normalization for Generative Adversarial Networks

3.4k citations · 3.9k across the 67 of their papers we have counts for

collaborators

75 papers

cs.DS2026

Beyond Cut Balance: Spectral Sparsification of the Nonlinear Directed Laplacian

Yuichi Yoshida

Digraphs with constant cut balance admit nearly linear directed cut sparsifiers. This condition requires the total arc weights in the two directions of every cut to be within a con…

math.CO2026

A quantitative container characterization of one-sided testability

Gaia Carenini, Cameron Seth, Yuichi Yoshida

We give a quantitative combinatorial characterization of size-oblivious one-sided testability in the dense graph model, resolving a question of Alon, Fischer, Newman, and Shapira.…

cs.LG2026

Nonlinear Laplacians Improve Signed-Directed Graph Learning

Ali Parviz, Yuichi Yoshida

While signed-directed graphs have been studied using linear Laplacians in the design of graph neural networks, relatively little research has focused on developing non-linear Lapla…

cs.DS2026

Tolerant Testing for Unique Games

Yuichi Yoshida

We give tolerant testers with sublinear query complexity in the adjacency-list model for Unique Games. Prior tolerant testers required structural assumptions such as expansion or c…

cs.DS2026

Solving Hypergraph Laplacian Systems in Almost-Linear Time

Yuichi Yoshida

For a connected weighted hypergraph, we give a randomized almost-linear-time solver for the Poisson problem for the cut-based hypergraph Laplacian in the natural input size $P=\sum…

cs.DS2026

Lower Bounds for Testing Directed Acyclicity in the Unidirectional Bounded-Degree Model

Yuichi Yoshida

We study property testing of directed acyclicity in the unidirectional bounded-degree oracle model, where a query to a vertex reveals its outgoing neighbors. We prove that there ex…