Clement Hongler
7 papers · 2018–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
👑
Triple Crown
🧭
Keyword Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(5)
Core Methods
(4)
Deep Learning
(3)
Optimization & Theory · Deep Learning
(3)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Generation
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
deep neural network
(2)
neural tangent kernel
(2)
kernel ridge regression
(2)
kernel methods
(2)
loss landscape
(1)
computational complexity
(1)
gaussian process
(1)
gradient descent
(1)
generalization error
(1)
sparsity
(1)
l2 regularization
(1)
random matrix theory
(1)
autoregressive model
(1)
implicit regularization
(1)
log perplexity
(1)
hidden representation
(1)
affine subspace
(1)
random feature model
(1)
critical point
(1)
overparameterized neural network
(1)
Papers
Arrows of Time for Large Language Models
ICML 2024
Feature Learning in L_2-regularized DNNs: Attraction/Repulsion and Sparsity
NeurIPS 2022
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
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