Franck Gabriel
5 papers · 2018–2022 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 👑 Triple Crown
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Keyword Pioneer
Venues
Top co-authors
Research topics
Keywords
kernel methods
(2)
kernel ridge regression
(2)
neural tangent kernel
(2)
deep neural network
(2)
gradient descent
(1)
generalization error
(1)
l2 regularization
(1)
random matrix theory
(1)
implicit regularization
(1)
hidden representation
(1)
random feature model
(1)
risk prediction
(1)
kernel alignment
(1)
infinite-width limit
(1)
neural network
(1)
hessian spectrum
(1)
statistical learning
(1)
attraction repulsion
(1)
learning theory
(1)
feature learning
(1)
Papers
Feature Learning in L_2-regularized DNNs: Attraction/Repulsion and Sparsity
NeurIPS 2022
Implicit Regularization of Random Feature Models
ICML 2020
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
NeurIPS 2020
The asymptotic spectrum of the Hessian of DNN throughout training
ICLR 2020
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
NeurIPS 2018