Aristide Baratin
8 papers · 2018–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
👑
Triple Crown
🧭
Keyword Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(5)
Deep Learning
(4)
Core Methods
(4)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Architectures
(2)
Core AI
(2)
Mathematics & Optimization
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
neural network
(2)
representation learning
(2)
stochastic gradient descent
(1)
neural tangent kernel
(1)
adversarial training
(1)
variational inference
(1)
information bottleneck
(1)
label noise
(1)
deep learning theory
(1)
fourier analysis
(1)
robustness
(1)
sharpness-aware minimization
(1)
deep learning
(1)
mutual information
(1)
learning theory
(1)
semi-supervised training
(1)
gaussian mixture model
(1)
weight initialization
(1)
benchmark dataset
(1)
unsupervised learning
(1)
Papers
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
NeurIPS 2024
How connectivity structure shapes rich and lazy learning in neural circuits
ICLR 2024
Lookbehind-SAM: k steps back, 1 step forward
ICML 2024
Unsupervised Concept Discovery Mitigates Spurious Correlations
ICML 2024
CrossSplit: Mitigating Label Noise Memorization through Data Splitting
ICML 2023
Implicit Regularization via Neural Feature Alignment
AISTATS 2021
On the Spectral Bias of Neural Networks
ICML 2019
Mutual Information Neural Estimation
ICML 2018