Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Quentin Berthet

Quentin Berthet
Alert button

Differentiable Clustering with Perturbed Spanning Forests


May 25, 2023
Lawrence Stewart, Francis S Bach, Felipe Llinares López, Quentin Berthet

Add code
Alert button


   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes


Nov 18, 2022
Marin Ballu, Quentin Berthet

Add code
Alert button

Figure 1 for Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
Figure 2 for Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
Figure 3 for Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Regression as Classification: Influence of Task Formulation on Neural Network Features


Nov 10, 2022
Lawrence Stewart, Francis Bach, Quentin Berthet, Jean-Philippe Vert

Add code
Alert button

Figure 1 for Regression as Classification: Influence of Task Formulation on Neural Network Features
Figure 2 for Regression as Classification: Influence of Task Formulation on Neural Network Features
Figure 3 for Regression as Classification: Influence of Task Formulation on Neural Network Features
Figure 4 for Regression as Classification: Influence of Task Formulation on Neural Network Features

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization


May 25, 2022
Benjamin Dubois-Taine, Francis Bach, Quentin Berthet, Adrien Taylor

Add code
Alert button

Figure 1 for Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
Figure 2 for Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models


Jan 06, 2022
Artem R. Muliukov, Laurent Rodriguez, Benoit Miramond, Lyes Khacef, Joachim Schmidt, Quentin Berthet, Andres Upegui

Add code
Alert button

Figure 1 for A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models
Figure 2 for A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models
Figure 3 for A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models
Figure 4 for A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Efficient and Modular Implicit Differentiation


May 31, 2021
Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert

Add code
Alert button

Figure 1 for Efficient and Modular Implicit Differentiation
Figure 2 for Efficient and Modular Implicit Differentiation
Figure 3 for Efficient and Modular Implicit Differentiation
Figure 4 for Efficient and Modular Implicit Differentiation

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking


Mar 17, 2021
Andrew N Carr, Quentin Berthet, Mathieu Blondel, Olivier Teboul, Neil Zeghidour

Add code
Alert button

Figure 1 for Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
Figure 2 for Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
Figure 3 for Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
Figure 4 for Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fast Differentiable Sorting and Ranking


Feb 20, 2020
Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga

Add code
Alert button

Figure 1 for Fast Differentiable Sorting and Ranking
Figure 2 for Fast Differentiable Sorting and Ranking
Figure 3 for Fast Differentiable Sorting and Ranking
Figure 4 for Fast Differentiable Sorting and Ranking

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Stochastic Optimization for Regularized Wasserstein Estimators


Feb 20, 2020
Marin Ballu, Quentin Berthet, Francis Bach

Add code
Alert button

Figure 1 for Stochastic Optimization for Regularized Wasserstein Estimators
Figure 2 for Stochastic Optimization for Regularized Wasserstein Estimators
Figure 3 for Stochastic Optimization for Regularized Wasserstein Estimators

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learning with Differentiable Perturbed Optimizers


Feb 20, 2020
Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis Bach

Add code
Alert button

Figure 1 for Learning with Differentiable Perturbed Optimizers
Figure 2 for Learning with Differentiable Perturbed Optimizers
Figure 3 for Learning with Differentiable Perturbed Optimizers
Figure 4 for Learning with Differentiable Perturbed Optimizers

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>