Gabriel, Franck

1. Saddle-to-Saddle Dynamics in Deep Linear Networks: Small Initialization Training, Symmetry, and Sparsity
   2021/06/30 by Arthur Paul Jacot, Jacot, Arthur, François Gaston Ged +7 · 9 citations
   Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantum chaos and dynamical systems #Statistical Mechanics and Entropy #stochastic dynamics and bifurcation
2. The asymptotic spectrum of the Hessian of DNN throughout training
   2019/10/01 by Arthur Paul Jacot, Jacot, Arthur, Franck Gabriel +3 · 5 citations
   Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications #Gaussian Processes and Bayesian Inference
3. Order and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts
   2019/07/11 by Arthur Paul Jacot, Jacot, Arthur, Franck Gabriel +5 · 6 citations
   Computer Science · #Parallel Computing and Optimization Techniques #Generative Adversarial Networks and Image Synthesis #Stochastic Gradient Optimization Techniques
4. Insider Trading with Penalties
   2018/09/20 by Carré, Sylvain, Collin-Dufresne, Pierre, Gabriel, Franck · 2 citations
   #FOS: Economics and business #FOS: Mathematics #Optimization and Control (math.OC) #Trading and Market Microstructure (q-fin.TR)
5. Feature Learning in L₂-regularized DNNs: Attraction/Repulsion and Sparsity
   2022/05/31 by Arthur Paul Jacot, Jacot, Arthur, Eugène Golikov +5 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
6. Kernel Alignment Risk Estimator: Risk Prediction from Training Data
   2020/06/17 by Arthur Paul Jacot, Jacot, Arthur, Berfin Şimşek +7 · 1 citation
   Engineering · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR) #Sparse and Compressive Sensing Techniques #Statistical Mechanics and Entropy #Statistical Methods and Inference
7. Freeness of type B and conditional freeness for random matrices
   2022/05/04 by Guillaume Cébron, Cébron, Guillaume, Antoine Dahlqvist +3 · 2 citations
   Mathematics · #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Operator Algebras (math.OA) #Probability (math.PR) #Random Matrices and Applications #Stochastic processes and statistical mechanics
8. Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets
   2021/02/05 by Sylvain Carré, Carré, Sylvain, Franck Gabriel +7 · 1 citation
   Computer Science · Decision Sciences · #Blockchain Technology Applications and Security #Auction Theory and Applications #Logic, Reasoning, and Knowledge