Olivier Teboul
7 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(3)
Mathematics & Optimization
(3)
Core Methods
(3)
Optimization
(3)
Optimization & Theory · Machine Learning
(3)
Techniques
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Application Areas
(1)
Core AI
(1)
Foundations
(1)
Learning Types
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
optimal transport
(2)
differentiable sorting
(2)
model architecture
(1)
computational complexity
(1)
gene expression
(1)
quantile regression
(1)
gradient descent
(1)
differentiable programming
(1)
audio classification
(1)
entropic regularization
(1)
sinkhorn algorithm
(1)
convolutional neural network
(1)
differentiable optimization
(1)
ranking loss
(1)
sorting algorithm
(1)
spearman rank correlation
(1)
multi-task training
(1)
differentiable ranking
(1)
permutahedron projection
(1)
isotonic optimization
(1)
Papers
Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View
MICCAI 2025
Learning Strides in Convolutional Neural Networks
ICLR 2022
LEAF: A Learnable Frontend for Audio Classification
ICLR 2021
Fast Differentiable Sorting and Ranking
ICML 2020
Learning with Differentiable Pertubed Optimizers
NeurIPS 2020
Supervised Quantile Normalization for Low Rank Matrix Factorization
ICML 2020
Differentiable Ranking and Sorting using Optimal Transport
NeurIPS 2019