Valentin De Bortoli
26 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (29) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(16)
👑
Triple Crown
🧭
Keyword Pioneer
🤝
Dynamic Duo
(14)
🧬
Topic Evolution
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
💎
Century Club · Bronze
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Keyword Collector
(119)
Top co-authors
Research topics
Deep Learning
(21)
Machine Learning
(19)
Models
(19)
Optimization & Theory · Machine Learning
(14)
Mathematics & Optimization
(7)
Optimization
(7)
Artificial Intelligence
(5)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Core Methods
(4)
Computer Vision
(2)
Core AI
(2)
Generation
(2)
Learning Types
(2)
Optimization & Theory · Deep Learning
(2)
Keywords
diffusion model
(16)
generative model
(4)
schrödinger bridge
(3)
stochastic differential equation
(3)
optimal transport
(3)
schrodinger bridge
(2)
markov chain
(2)
constrained optimization
(2)
generative modeling
(2)
riemannian manifold
(2)
score matching
(2)
molecular generation
(2)
inverse problem
(2)
denoising diffusion model
(2)
stochastic gradient descent
(2)
convergence analysis
(1)
kl divergence
(1)
non-convex optimization
(1)
constrained generation
(1)
image generation
(1)
Papers
Accelerated Diffusion Models via Speculative Sampling
ICML 2025
Deep MMD Gradient Flow without adversarial training
ICLR 2025
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
AISTATS 2025
Distributional Diffusion Models with Scoring Rules
ICML 2025
Implicit Diffusion: Efficient optimization through stochastic sampling
AISTATS 2025
Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
ICLR 2024
Particle Denoising Diffusion Sampler
ICML 2024
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
ICLR 2024
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
ICLR 2024
Schrodinger Bridge Flow for Unpaired Data Translation
NeurIPS 2024
Diffusion Schrödinger Bridge Matching
NeurIPS 2023
Geometric Neural Diffusion Processes
NeurIPS 2023
Metropolis Sampling for Constrained Diffusion Models
NeurIPS 2023
SE(3) diffusion model with application to protein backbone generation
ICML 2023
Trans-Dimensional Generative Modeling via Jump Diffusion Models
NeurIPS 2023
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters
NeurIPS 2023
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo
NeurIPS 2023
A Continuous Time Framework for Discrete Denoising Models
NeurIPS 2022
Can Push-forward Generative Models Fit Multimodal Distributions?
NeurIPS 2022
Conditional simulation using diffusion Schrödinger bridges
UAI 2022
On quantitative Laplace-type convergence results for some exponential probability measures, with two applications
JMLR 2022
Riemannian Score-Based Generative Modelling
NeurIPS 2022
Wavelet Score-Based Generative Modeling
NeurIPS 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
NeurIPS 2021
Quantitative Propagation of Chaos for SGD in Wide Neural Networks
NeurIPS 2020