Arthur Jacot
15 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (4)
πΊοΈ
Taxonomy Completionist
(13)
π
Interdisciplinary Bridge
π
Triple Crown
π
Trend Setter
π₯
Unstoppable
(6)
π
Century Club
(15)
β
The Questioner
Conferences
ICLR (6)
NIPS (6)
ICML (3)
Top co-authors
Keywords
kernel ridge regression
(2)
feature learning
(2)
deep neural network
(2)
learning theory
(2)
kernel methods
(2)
gaussian process
(1)
generalization error
(1)
l2 regularization
(1)
random matrix theory
(1)
implicit regularization
(1)
linear network
(1)
training dynamics
(1)
hidden representation
(1)
lazy regime
(1)
affine subspace
(1)
random feature model
(1)
critical point
(1)
overparameterized neural network
(1)
risk prediction
(1)
kernel alignment
(1)
Papers
Shallow diffusion networks provably learn hidden low-dimensional structure
ICLR 2025
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
ICLR 2025
Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse
ICLR 2025
Implicit bias of SGD in $L_2$-regularized linear DNNs: One-way jumps from high to low rank
ICLR 2024
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
ICML 2024
Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes
NIPS 2024
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
ICLR 2023
Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff
NIPS 2023
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity
NIPS 2022
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
NIPS 2021
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
ICML 2021
Implicit Regularization of Random Feature Models
ICML 2020
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
NIPS 2020
The asymptotic spectrum of the Hessian of DNN throughout training
ICLR 2020
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
NIPS 2018