Benjamin Charlier
5 papers · 2017–2022 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(4)
Optimization & Theory · Machine Learning
(3)
Computer Vision
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Domain-Specific
(1)
Learning Types
(1)
Mathematics
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
kernel matrix
(2)
logistic regression
(1)
optimal transport
(1)
geometric deep learning
(1)
automatic differentiation
(1)
image registration
(1)
nearest neighbor search
(1)
reproducing kernel
(1)
gpu computing
(1)
memory efficiency
(1)
diffeomorphic registration
(1)
tensor computation
(1)
geometric shape
(1)
shape prior
(1)
kernel operation
(1)
geometric application
(1)
collaborative framework
(1)
shape deformation
(1)
kernel methods
(1)
non-euclidean embedding
(1)
Papers
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
NeurIPS 2022
IMODAL: Creating Learnable User-Defined Deformation Models
CVPR 2021
Kernel Operations on the GPU, with Autodiff, without Memory Overflows
JMLR 2021
Fast geometric learning with symbolic matrices
NeurIPS 2020
A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds
CVPR 2017