← Authors

Franck Gabriel

5 papers · 2018–2022 · 3 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (3) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (10) πŸ‘‘ Triple Crown πŸ“ˆ Trend Setter

Conferences

NIPS (3) ICLR (1) ICML (1)

Top co-authors

Clement Hongler (5) Arthur Jacot (5) Francesco Spadaro (2) Berfin Simsek (2) Eugene Golikov (1)

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