Arnaud Doucet

papers

1,714

total citations

papers (17)

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling

NEURIPS 2021arXiv

618

citations

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

ICML 2025arXiv

citations

Modular Meta-Learning with Shrinkage

NEURIPS 2020arXiv

citations

Online Variational Filtering and Parameter Learning

NEURIPS 2021arXiv

citations

Trans-Dimensional Generative Modeling via Jump Diffusion Models

NEURIPS 2023arXiv

citations

Conformal Off-Policy Prediction in Contextual Bandits

NEURIPS 2022arXiv

citations

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters

NEURIPS 2023arXiv

citations

Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits

NEURIPS 2023arXiv

citations

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs

NEURIPS 2022arXiv

citations

NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform

NEURIPS 2021arXiv

citations

Arnaud Doucet

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

Diffusion Schrödinger Bridge Matching

Towards Learning Universal Hyperparameter Optimizers with Transformers

A Unified Framework for U-Net Design and Analysis

Score-Based Diffusion meets Annealed Importance Sampling

Particle Denoising Diffusion Sampler

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

Modular Meta-Learning with Shrinkage

Online Variational Filtering and Parameter Learning

Trans-Dimensional Generative Modeling via Jump Diffusion Models

Conformal Off-Policy Prediction in Contextual Bandits

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters

Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs

NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform

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

Diffusion Schrödinger Bridge Matching

Towards Learning Universal Hyperparameter Optimizers with Transformers

A Unified Framework for U-Net Design and Analysis

Score-Based Diffusion meets Annealed Importance Sampling

Particle Denoising Diffusion Sampler

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

Modular Meta-Learning with Shrinkage

Online Variational Filtering and Parameter Learning

Trans-Dimensional Generative Modeling via Jump Diffusion Models

Conformal Off-Policy Prediction in Contextual Bandits

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters

Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs

NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform