Publications associées à Gradient

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Gradient

Graph Chatbot

Chattez avec Graph Search

Collisional gyrokinetic full-f particle-in-cell simulations on open field lines with PICLS

Adaptation and Learning Over Networks Under Subspace Constraints-Part I: Stability Analysis

Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM

Learning Non-Parametric Models with Guarantees: A Smooth Lipschitz Interpolation Approach

Byzantine tolerant gradient descent for distributed machine learning with adversaries

Gyrokinetic full-f particle-in-cell simulations on open field lines with PICLS

Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators

Distributed Inference Over Networks Under Subspace Constraints

Efficient Greedy Coordinate Descent for Composite Problems

Efficient Greedy Coordinate Descent for Composite Problems

Learning Non-Parametric Models with Guarantees: A Smooth Lipschitz Interpolation Approach

Collisional gyrokinetic full-f particle-in-cell simulations on open field lines with PICLS

Efficient Greedy Coordinate Descent for Composite Problems

Distributed Inference Over Networks Under Subspace Constraints

Efficient Greedy Coordinate Descent for Composite Problems

Adaptation and Learning Over Networks Under Subspace Constraints-Part I: Stability Analysis

Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM

Byzantine tolerant gradient descent for distributed machine learning with adversaries

Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators

Gyrokinetic full-f particle-in-cell simulations on open field lines with PICLS