Valentin De Bortoli

25 papers · 2020–2025 · 6 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (5) 🐝 Cross-Pollinator (10) 🗺️ Taxonomy Completionist (24) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (6) 🤝 Dynamic Duo (14) 👑 Triple Crown 🔬 Deep Specialist (11) 💎 Century Club (25) 🗃️ Keyword Collector (76) ⚡ Prolific Year (7) ❓ The Questioner 🔥 Unstoppable (6)

Conferences

NIPS (13) ICLR (4) ICML (4) AISTATS (2) COLT (1) UAI (1)

Top co-authors

Arnaud Doucet (14) George Deligiannidis (4) Alain Durmus (4) Emile Mathieu (4) Arthur Gretton (3) Andrew Campbell (3) Michael Hutchinson (3) Alexandre Galashov (3) Joe Benton (2) Thomas Rainforth (2)

Keywords

diffusion model (10) generative model (4) schrödinger bridge (3) stochastic differential equation (3) optimal transport (3) stochastic gradient descent (2) schrodinger bridge (2) markov chain (2) riemannian manifold (2) molecular generation (2) video generation (1) constrained optimization (1) image super-resolution (1) mcmc sampling (1) image synthesis (1) variational inference (1) continuous-time approximation (1) hamiltonian monte carlo (1) convergence analysis (1) manifold learning (1)

Papers

Distributional Diffusion Models with Scoring Rules ICML 2025

Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints AISTATS 2025

Implicit Diffusion: Efficient optimization through stochastic sampling AISTATS 2025

Accelerated Diffusion Models via Speculative Sampling ICML 2025

Deep MMD Gradient Flow without adversarial training ICLR 2025

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models ICLR 2024

Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization ICLR 2024

Particle Denoising Diffusion Sampler ICML 2024

Schrodinger Bridge Flow for Unpaired Data Translation NIPS 2024

Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models ICLR 2024

Diffusion Schrödinger Bridge Matching NIPS 2023

Metropolis Sampling for Constrained Diffusion Models NIPS 2023

SE(3) diffusion model with application to protein backbone generation ICML 2023

Trans-Dimensional Generative Modeling via Jump Diffusion Models NIPS 2023

Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo NIPS 2023

Geometric Neural Diffusion Processes NIPS 2023

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters NIPS 2023

Conditional simulation using diffusion Schrödinger bridges UAI 2022

Wavelet Score-Based Generative Modeling NIPS 2022

Riemannian Score-Based Generative Modelling NIPS 2022

Can Push-forward Generative Models Fit Multimodal Distributions? NIPS 2022

A Continuous Time Framework for Discrete Denoising Models NIPS 2022

Convergence rates and approximation results for SGD and its continuous-time counterpart COLT 2021

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NIPS 2021

Quantitative Propagation of Chaos for SGD in Wide Neural Networks NIPS 2020