Valentin De Bortoli
- De novo design of protein structure and function with RFdiffusion
2023/07/11 by Joseph L. Watson, David Juergens, Nathaniel R. Bennett +25 · 2 voices · 133 citations
Biochemistry, Genetics and Molecular Biology · #Bacterial Genetics and Biotechnology #Protein Structure and Dynamics #RNA and protein synthesis mechanisms
- A Continuous Time Framework for Discrete Denoising Models
2022/05/30 by Andrew T. Campbell, Campbell, Andrew, Joe Benton +9 · 90 citations
Physics and Astronomy · Computer Science · Mathematics · #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis #Tensor decomposition and applications
- Diffusion Schr "odinger Bridge with Applications to Score-Based\n Generative Modeling
2021/06/01 by Valentin De Bortoli, James Thornton, De Bortoli, Valentin +5 · 66 citations
Computer Science · Engineering · Neuroscience · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #Probability (math.PR) #Slime Mold and Myxomycetes Research #Statistical Mechanics and Entropy #Time Series Analysis and Forecasting #Traffic control and management
- SE(3) diffusion model with application to protein backbone generation
2023/02/05 by Jason Yim, Brian L. Trippe, Valentin De Bortoli +4 · 1 voice · 20 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · Mathematics · #cs.LG #q-bio.QM #stat.ML
- Convergence of denoising diffusion models under the manifold hypothesis
2022/08/10 by Valentin De Bortoli, De Bortoli, Valentin · 28 citations
Computer Science · Medicine · #Advanced Mathematical Modeling in Engineering #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR)
- Diffusion Schrödinger Bridge Matching
2023/03/29 by Yuyang Shi, Valentin De Bortoli, Shi, Yuyang +5 · 2 voices · 17 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
- Accelerated Diffusion Models via Speculative Sampling
2025/01/09 by Valentin De Bortoli, De Bortoli, Valentin, Alexandre Galashov +5 · 4 voices · 9 citations
Mathematics · #Statistical Methods and Inference #cs.LG #stat.ML
- Schrödinger Bridge Flow for Unpaired Data Translation
2024/09/14 by Valentin De Bortoli, De Bortoli, Valentin, Iryna Korshunova +5 · 2 voices · 12 citations
#cs.LG #stat.ML
- Diffusion Models for Constrained Domains
2023/04/11 by Nic Fishman, Fishman, Nic, Leo Klarner +7 · 12 citations
Engineering · #Reservoir Engineering and Simulation Methods
- Dynamical regimes of diffusion models
2024/02/28 by Giulio Biroli, Tony Bonnaire, Valentin de Bortoli +2 · 1 voice · 11 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Physics and Astronomy · #Diffusion and Search Dynamics #Stochastic processes and statistical mechanics #Theoretical and Computational Physics #cond-mat.stat-mech #cs.LG
- Trans-Dimensional Generative Modeling via Jump Diffusion Models
2023/05/25 by Andrew T. Campbell, Campbell, Andrew, William R. Harvey +9 · 9 citations
Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- From Denoising Diffusions to Denoising Markov Models
2022/11/07 by Joe Benton, Benton, Joe, Shi, Yuyang +6 · 7 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Tensor decomposition and applications
- Simulating Diffusion Bridges with Score Matching
2021/11/14 by Jeremy Heng, Valentin De Bortoli, Heng, Jeremy +5 · 5 citations
Economics, Econometrics and Finance · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Stochastic processes and financial applications
- Target Score Matching
2024/02/13 by Valentin De Bortoli, Michael Hutchinson, De Bortoli, Valentin +5 · 7 citations
Medicine · #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Traditional Chinese Medicine Studies
- Distributional Diffusion Models with Scoring Rules
2025/02/04 by Valentin De Bortoli, Alexandre Galashov, De Bortoli, Valentin +12 · 3 voices · 6 citations
Social Sciences · #Insurance, Mortality, Demography, Risk Management #cs.LG #stat.ML
- Efficient stochastic optimisation by unadjusted Langevin Monte Carlo. Application to maximum marginal likelihood and empirical Bayesian estimation
2019/06/28 by Valentin De Bortoli, De Bortoli, Valentin, Alain Durmus +5 · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Blind Source Separation Techniques #Computation (stat.CO) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods
- Conditional Simulation Using Diffusion Schrödinger Bridges
2022/02/27 by Yuyang Shi, Valentin De Bortoli, Shi, Yuyang +5 · 3 citations
Computer Science · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Implicit Diffusion: Efficient Optimization through Stochastic Sampling
2024/02/08 by Pierre Marion, Marion, Pierre, Anna Korba +16 · 2 voices · 2 citations
Computer Science · #Neural Networks and Applications
- Augmented Bridge Matching
2023/11/12 by Valentin De Bortoli, Guan-Horng Liu, De Bortoli, Valentin +7 · 2 citations
Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Deep MMD Gradient Flow without adversarial training
2024/05/10 by Alexandre Galashov, Galashov, Alexandre, Valentin De Bortoli +3 · 2 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Plasma and Flow Control in Aerodynamics
- Geometric Neural Diffusion Processes
2023/07/11 by Emile Mathieu, Vincent Dutordoir, Mathieu, Emile +9 · 1 voice · 1 citation
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
- On the Edge of Memorization in Diffusion Models
2025/08/25 by Sam Buchanan, Druv Pai, Buchanan, Sam +5 · 2 voices · 3 citations
#cs.LG #stat.ML
- Unbalanced Diffusion Schrödinger Bridge
2023/06/15 by Matteo Pariset, Pariset, Matteo, Ya‐Ping Hsieh +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Mathematics · #Advanced Biosensing Techniques and Applications #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Mathematical Biology Tumor Growth
- Self-Speculative Masked Diffusions
2025/10/04 by Andrew Campbell, Campbell, Andrew, Valentin De Bortoli +5 · 1 voice · 4 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Quantum many-body systems