Stephane Deny
5 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (13) π Grand Slam
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Research topics
Keywords
efficient coding
(2)
image classification
(1)
contrastive learning
(1)
feature extraction
(1)
object recognition
(1)
embedding learning
(1)
model robustness
(1)
self-supervised learning
(1)
data augmentation
(1)
group theory
(1)
generalization error
(1)
natural movies
(1)
redundancy reduction
(1)
receptive field
(1)
deep convolutional neural network
(1)
equivariant architecture
(1)
symmetry learning
(1)
deep network
(1)
synthetic dataset
(1)
3d rotation
(1)
Papers
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
JMLR 2025
Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses
AAAI 2023
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
ICML 2021
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
ICLR 2019
The emergence of multiple retinal cell types through efficient coding of natural movies
NeurIPS 2018