← Search

Benjamin Charlier

4 accepted papers

2022

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

NeurIPS 2022accept

Numerical validation is at the core of machine learning research as it allows us to assess the actual impact of new methods, and to confirm the agreement between theory and practice. Yet, the rapid development of the field poses several challenges: researchers are confronted with a profusion of meth…

2020

Fast geometric learning with symbolic matrices

NeurIPS 2020spotlight

Geometric methods rely on tensors that can be encoded using a symbolic formula and data arrays, such as kernel and distance matrices. We present an extension for standard machine learning frameworks that provides comprehensive support for this abstraction on CPUs and GPUs: our toolbox combines a ver…

2017

A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds

CVPR 2017poster

This paper introduces a general setting for the construction of data fidelity metrics between oriented or non-oriented geometric shapes like curves, curve sets or surfaces. These metrics are based on the representation of shapes as distributions of their local tangent or normal vectors and the defin…

Cited by 71PDFScholar