Olivier Laurent
5 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Artificial Intelligence
(3)
Architectures
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Analysis
(1)
Application Areas
(1)
Core AI · Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Keywords
semantic segmentation
(2)
out-of-distribution detection
(2)
bayesian neural network
(2)
uncertainty quantification
(2)
data augmentation
(1)
model adaptation
(1)
posterior sampling
(1)
symmetry
(1)
neural network optimization
(1)
label smoothing
(1)
selective classification
(1)
deep neural network
(1)
pre-trained model
(1)
generative adversarial network
(1)
model ensemble
(1)
uncertainty estimation
(1)
gradient analysis
(1)
deep ensemble
(1)
grouped convolution
(1)
logit normalization
(1)
Papers
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
ICLR 2025
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
ICLR 2024
Learning To Generate Training Datasets for Robust Semantic Segmentation
WACV 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
CVPR 2024
Packed Ensembles for efficient uncertainty estimation
ICLR 2023