Valentin De Bortoli

papers

1,811

total citations

papers (17)

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling

NEURIPS 2021arXiv

618

citations

A Continuous Time Framework for Discrete Denoising Models

NEURIPS 2022arXiv

306

citations

Riemannian Score-Based Generative Modelling

NEURIPS 2022arXiv

227

citations

Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization

ICLR 2024arXiv

188

citations

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters

NEURIPS 2023arXiv

citations

Deep MMD Gradient Flow without adversarial training

ICLR 2025arXiv

citations

Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo

NEURIPS 2023arXiv

citations

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models

ICLR 2024arXiv

citations

Valentin De Bortoli

papers (17)

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling

A Continuous Time Framework for Discrete Denoising Models

Riemannian Score-Based Generative Modelling

Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization

Diffusion Schrödinger Bridge Matching

Wavelet Score-Based Generative Modeling

Particle Denoising Diffusion Sampler

Can Push-forward Generative Models Fit Multimodal Distributions?

Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models

Quantitative Propagation of Chaos for SGD in Wide Neural Networks

Metropolis Sampling for Constrained Diffusion Models

Trans-Dimensional Generative Modeling via Jump Diffusion Models

Geometric Neural Diffusion Processes

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters

Deep MMD Gradient Flow without adversarial training

Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models

papers (17)

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling

A Continuous Time Framework for Discrete Denoising Models

Riemannian Score-Based Generative Modelling

Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization

Diffusion Schrödinger Bridge Matching

Wavelet Score-Based Generative Modeling

Particle Denoising Diffusion Sampler

Can Push-forward Generative Models Fit Multimodal Distributions?

Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models

Quantitative Propagation of Chaos for SGD in Wide Neural Networks

Metropolis Sampling for Constrained Diffusion Models

Trans-Dimensional Generative Modeling via Jump Diffusion Models

Geometric Neural Diffusion Processes

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters

Deep MMD Gradient Flow without adversarial training

Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models