Franck Gabriel
5 papers · 2018–2022 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (3) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(10)
π
Triple Crown
π
Trend Setter
Conferences
NIPS (3)
ICLR (1)
ICML (1)
Top co-authors
Keywords
kernel ridge regression
(2)
kernel methods
(2)
neural tangent kernel
(1)
feature learning
(1)
gaussian process
(1)
generalization error
(1)
l2 regularization
(1)
random matrix theory
(1)
deep neural network
(1)
implicit regularization
(1)
hidden representation
(1)
random feature model
(1)
risk prediction
(1)
kernel alignment
(1)
infinite-width limit
(1)
neural network
(1)
statistical learning
(1)
attraction repulsion
(1)
learning theory
(1)
Papers
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity
NIPS 2022
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
NIPS 2020
The asymptotic spectrum of the Hessian of DNN throughout training
ICLR 2020
Implicit Regularization of Random Feature Models
ICML 2020
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
NIPS 2018