Arnaud Doucet
- Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
2024/02/29 by Soham De, Samuel L. Smith, De, Soham +31 · 5 voices · 25 citations
#cs.LG #cs.CL
- Reinforced Self-Training (ReST) for Language Modeling
2023/08/17 by Caglar Gulcehre, Çağlar Gülçehre, Tom Le Paine +27 · 3 voices · 35 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech and dialogue systems
- COIN: COmpression with Implicit Neural representations
2021/03/03 by Emilien Dupont, Dupont, Emilien, Adam Goliński +7 · 2 voices · 20 citations
Computer Science · Engineering · #Advanced Data Compression Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #cs.CV #cs.LG #eess.IV #electronic engineering #information engineering
- Sequential monte carlo samplers
2002/12/31 by Pierre Del Moral, Del Moral, Pierre, Arnaud Doucet +1 · 53 citations
Computer Science · Mathematics · Physics and Astronomy · #Bayesian Methods and Mixture Models #Condensed Matter (cond-mat) #Data Management and Algorithms #FOS: Physical sciences #Markov Chains and Monte Carlo Methods #cond-mat
- A Continuous Time Framework for Discrete Denoising Models
2022/05/30 by Andrew T. Campbell, Joe Benton, Campbell, Andrew +9 · 89 citations
Physics and Astronomy · Computer Science · Mathematics · #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis #Tensor decomposition and applications
- Simplified and Generalized Masked Diffusion for Discrete Data
2024/06/06 by Jiaxin Shi, Kehang Han, Shi, Jiaxin +7 · 144 citations
Computer Science · #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
2024/04/11 by Aleksandar Botev, Botev, Aleksandar, Soham De +127 · 1 voice · 10 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
- Diffusion Schr "odinger Bridge with Applications to Score-Based\n Generative Modeling
2021/06/01 by Valentin De Bortoli, De Bortoli, Valentin, James Thornton +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
- Augmented Neural ODEs
2019/04/02 by Emilien Dupont, Arnaud Doucet, Dupont, Emilien +3 · 47 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications
- 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 · 18 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · Mathematics · #cs.LG #q-bio.QM #stat.ML
- Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
2023/02/22 by Yilun Du, Du, Yilun, Conor Durkan +15 · 31 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
- Continuous diffusion for categorical data
2022/11/28 by Sander Dieleman, Laurent Sartran, Dieleman, Sander +25 · 26 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Music and Audio Processing
- Diffusion Schrödinger Bridge Matching
2023/03/29 by Yuyang Shi, Shi, Yuyang, Valentin De Bortoli +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
- Error Bounds for Flow Matching Methods
2023/05/26 by Joe Benton, George Deligiannidis, Benton, Joe +3 · 24 citations
Economics, Econometrics and Finance · Social Sciences · Computer Science · #Stochastic processes and financial applications #Insurance, Mortality, Demography, Risk Management #Bayesian Methods and Mixture Models
- Efficient Bayesian Inference for Generalized Bradley-Terry Models
2010/11/08 by François Caron, Arnaud Doucet, Caron, Francois +1 · 8 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
- On Particle Methods for Parameter Estimation in State-Space Models
2015/08/01 by Nikolas Kantas, Arnaud Doucet, Sumeetpal S. Singh +2 · 9 citations
- 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, Iryna Korshunova, De Bortoli, Valentin +5 · 2 voices · 12 citations
#cs.LG #stat.ML
- On sequential Monte Carlo sampling methods for Bayesian filtering
2000/07/01 by Arnaud Doucet, Simon Godsill, Christophe Andrieu · 5 citations
- The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov\n Chain Monte Carlo Method
2015/10/08 by Alexandre Bouchard‐Côté, Bouchard-Côté, Alexandre, Sebastian J. Vollmer +3 · 6 citations
Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Statistical Methods and Bayesian Inference #Bayesian Methods and Mixture Models
- Annealed Flow Transport Monte Carlo
2021/02/15 by Michael Arbel, Alexander Matthews, Arbel, Michael +3 · 9 citations
Physics and Astronomy · Mathematics · Computer Science · #Model Reduction and Neural Networks #Markov Chains and Monte Carlo Methods #Gaussian Processes and Bayesian Inference
- Mitigating LLM Hallucinations via Conformal Abstention
2024/04/04 by Yasin Abbasi Yadkori, Ilja Kuzborskij, Yadkori, Yasin Abbasi +21 · 12 citations
Mathematics · Neuroscience · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Benford’s Law and Fraud Detection #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hallucinations in medical conditions #Machine Learning (cs.LG) #Quantum Mechanics and Applications
- Trans-Dimensional Generative Modeling via Jump Diffusion Models
2023/05/25 by Andrew T. Campbell, William R. Harvey, Campbell, Andrew +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
- Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
2013/01/16 by Arnaud Doucet, Doucet, Arnaud, Nando de Freitas +5 · 4 citations
Computer Science · #Bayesian Modeling and Causal Inference #Target Tracking and Data Fusion in Sensor Networks #Bayesian Methods and Mixture Models
- Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
2021/02/15 by Adrien Corenflos, Corenflos, Adrien, Jim Thornton +6 · 6 citations
Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Target Tracking and Data Fusion in Sensor Networks
- Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
2025/03/04 by Marta Skreta, Skreta, Marta, Tara Akhound-Sadegh +15 · 21 citations
Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Opinion Dynamics and Social Influence
- Learning Deep Features in Instrumental Variable Regression
2020/10/14 by Liyuan Xu, Xu, Liyuan, Yutian Chen +9 · 6 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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
- A Lognormal Central Limit Theorem for Particle Approximations of\n Normalizing Constants
2013/06/30 by Jean Bérard, Bérard, Jean, Pierre Del-Moral +3 · 3 citations
Decision Sciences · Economics, Econometrics and Finance · Mathematics · #47D08 #60F05 #60J70 #82C22 #FOS: Mathematics #Primary: 65C35 #Probability (math.PR) #Probability and Risk Models #Secondary: 65C05 #Statistical Methods and Inference #Stochastic processes and financial applications #Stochastic processes and statistical mechanics
- On the Impact of the Activation Function on Deep Neural Networks\n Training
2019/02/18 by Soufiane Hayou, Arnaud Doucet, Hayou, Soufiane +3 · 4 citations
Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Machine Learning in Materials Science #Neural Networks and Applications
- Target Score Matching
2024/02/13 by Valentin De Bortoli, De Bortoli, Valentin, Michael Hutchinson +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
- Conformal prediction under ambiguous ground truth
2023/07/18 by David Stutz, Stutz, David, Abhijit Guha Roy +9 · 5 citations
Computer Science · Mathematics · Decision Sciences · #Gaussian Processes and Bayesian Inference #Statistical Methods and Inference #Probabilistic and Robust Engineering Design
- A Unified Framework for U-Net Design and Analysis
2023/05/31 by Christopher B. Williams, Williams, Christopher, Fabian Falck +9 · 4 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #electronic engineering #information engineering
- Conditional Simulation Using Diffusion Schrödinger Bridges
2022/02/27 by Yuyang Shi, Shi, Yuyang, Valentin De Bortoli +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
- Generative Models as Distributions of Functions
2021/02/09 by Emilien Dupont, Yee Whye Teh, Dupont, Emilien +3 · 2 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Online Variational Filtering and Parameter Learning
2021/10/26 by Andrew R. Campbell, Campbell, Andrew, Yuyang Shi +5 · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
- 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
- An Empirical Study of Implicit Regularization in Deep Offline RL
2022/07/05 by Çağlar Gülçehre, Srivatsan Srinivasan, Gulcehre, Caglar +13 · 2 citations
Computer Science · #Reinforcement Learning in Robotics #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
- Unbiased Smoothing using Particle Independent Metropolis-Hastings
2019/02/05 by Lawrence Middleton, George Deligiannidis, Middleton, Lawrence +5 · 3 citations
Mathematics · #Markov Chains and Monte Carlo Methods #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
- Generalisation under gradient descent via deterministic PAC-Bayes
2022/09/06 by Eugenio Clerico, Clerico, Eugenio, Tyler Farghly +7 · 2 citations
Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Markov Chains and Monte Carlo Methods #Machine Learning and Algorithms
- Score-Optimal Diffusion Schedules
2024/12/10 by Christopher Williams, Williams, Christopher, Andrew Campbell +5 · 2 voices · 3 citations
#stat.ML #cs.LG
- Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
2019/01/28 by Robert Cornish, Paul Vanetti, Cornish, Robert +7 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
- Conformalized Credal Regions for Classification with Ambiguous Ground Truth
2024/11/07 by Michele Caprio, David Stutz, Shuo Li +1 · 1 voice · 2 citations
#stat.ML #cs.LG
- An Adaptive Interacting Wang-Landau Algorithm for Automatic Density Exploration
2011/09/17 by Luke Bornn, Pierre Jacob, Bornn, Luke +5 · 1 citation
Computer Science · Mathematics · #Applications (stat.AP) #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Inference
- Self-Speculative Masked Diffusions
2025/10/04 by Andrew Campbell, Valentin De Bortoli, Campbell, Andrew +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
- Accelerated Parallel Tempering via Neural Transports
2025/02/14 by Leo Yu Zhang, Zhang, Leo, Peter Potaptchik +10 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Algorithms and Data Compression #DNA and Biological Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Modular Robots and Swarm Intelligence
- Particle Value Functions
2017/03/16 by Chris J. Maddison, Dieterich Lawson, Maddison, Chris J. +11 · 1 citation
Economics, Econometrics and Finance · Decision Sciences · #Complex Systems and Time Series Analysis #Economic theories and models #Game Theory and Applications
- Hamiltonian Variational Auto-Encoder
2018/05/29 by Anthony L. Caterini, Caterini, Anthony L., Arnaud Doucet +3 · 1 citation
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis
- Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
2024/12/18 by Eleni Sgouritsa, Sgouritsa, Eleni, Virginia Aglietti +9 · 1 citation
Computer Science · #Natural Language Processing Techniques #Topic Modeling
- Piecewise-Deterministic Markov Chain Monte Carlo
2017/07/17 by Paul Vanetti, Vanetti, Paul, Alexandre Bouchard‐Côté +5 · 2 citations
Mathematics · #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Inference #Stochastic processes and statistical mechanics
- BayesAME: Bayesian Active Model Evaluation
2026/07/29 by Paula Cordero Encinar, Taylan Cemgil, Arnaud Doucet +2
Computer Science · Mathematics · #cs.AI #cs.LG #stat.ML