Martin Royer

发表

Adaptive Clustering through Semidefinite Programming

Martin Royer, Martin Royer, 2017, NIPS.

PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures

Mathieu Carrière, Yuichi Ike, Yuhei Umeda, 2020, AISTATS.

ATOL: Measure Vectorisation for Automatic Topologically-Oriented Learning

Yuichi Ike, Yuhei Umeda, Martin Royer, 2020 .

A General Neural Network Architecture for Persistence Diagrams and Graph Classification pdf

Frédéric Chazal, Mathieu Carrière, Yuichi Ike, 2019, ArXiv.

Statistically Optimal Clustering through Convex Optimisation

Martin Royer, 2018 .

ATOL: Automatic Topologically-Oriented Learning pdf

Yuichi Ike, Yuhei Umeda, Martin Royer, 2019, ArXiv.

Latent Model-Based Clustering for Biological Discovery

Xin Bing, Florentina Bunea, Jishnu Das, 2019, iScience.

Clustering of measures via mean measure quantization

Frédéric Chazal, Martin Royer, Clément Levrard, 2021 .

ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning

Yuichi Ike, Yuhei Umeda, Martin Royer, 2020, AISTATS.

PECOK: a convex optimization approach to variable clustering

Florentina Bunea, Martin Royer, Christophe Giraud, 2016, 1606.05100.

Model assisted variable clustering: Minimax-optimal recovery and algorithms

Florentina Bunea, Xi Luo, Martin Royer, 2015 .