Picture for Michaël Fanuel

Michaël Fanuel

On sampling determinantal and Pfaffian point processes on a quantum computer

Add code
May 25, 2023
Viaarxiv icon

Sparsification of the regularized magnetic Laplacian with multi-type spanning forests

Add code
Aug 31, 2022
Figure 1 for Sparsification of the regularized magnetic Laplacian with multi-type spanning forests
Figure 2 for Sparsification of the regularized magnetic Laplacian with multi-type spanning forests
Figure 3 for Sparsification of the regularized magnetic Laplacian with multi-type spanning forests
Figure 4 for Sparsification of the regularized magnetic Laplacian with multi-type spanning forests
Viaarxiv icon

Recovering Hölder smooth functions from noisy modulo samples

Add code
Dec 02, 2021
Figure 1 for Recovering Hölder smooth functions from noisy modulo samples
Figure 2 for Recovering Hölder smooth functions from noisy modulo samples
Viaarxiv icon

Nonparametric estimation of continuous DPPs with kernel methods

Add code
Jun 27, 2021
Figure 1 for Nonparametric estimation of continuous DPPs with kernel methods
Figure 2 for Nonparametric estimation of continuous DPPs with kernel methods
Figure 3 for Nonparametric estimation of continuous DPPs with kernel methods
Figure 4 for Nonparametric estimation of continuous DPPs with kernel methods
Viaarxiv icon

Towards Deterministic Diverse Subset Sampling

Add code
May 28, 2021
Figure 1 for Towards Deterministic Diverse Subset Sampling
Viaarxiv icon

Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks

Add code
Apr 27, 2021
Figure 1 for Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks
Figure 2 for Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks
Figure 3 for Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks
Figure 4 for Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks
Viaarxiv icon

Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems

Add code
Nov 13, 2020
Figure 1 for Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems
Figure 2 for Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems
Figure 3 for Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems
Figure 4 for Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems
Viaarxiv icon

Denoising modulo samples: k-NN regression and tightness of SDP relaxation

Add code
Sep 10, 2020
Figure 1 for Denoising modulo samples: k-NN regression and tightness of SDP relaxation
Figure 2 for Denoising modulo samples: k-NN regression and tightness of SDP relaxation
Figure 3 for Denoising modulo samples: k-NN regression and tightness of SDP relaxation
Figure 4 for Denoising modulo samples: k-NN regression and tightness of SDP relaxation
Viaarxiv icon

Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes

Add code
Jul 07, 2020
Figure 1 for Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes
Figure 2 for Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes
Figure 3 for Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes
Figure 4 for Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes
Viaarxiv icon

The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks

Add code
Jun 16, 2020
Figure 1 for The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks
Figure 2 for The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks
Figure 3 for The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks
Figure 4 for The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks
Viaarxiv icon