Sylvain Le Corff

1. Monte Carlo guided Diffusion for Bayesian linear inverse problems
   2023/08/15 by Gabriel Lopes Cardoso, Cardoso, Gabriel, Yazid Janati El Idrissi +5 · 17 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference
2. Disentangling Identifiable Features from Noisy Data with Structured\n Nonlinear ICA
   2021/06/17 by Hermanni Hälvä, Hälvä, Hermanni, Sylvain Le Corff +11 · 9 citations
   Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
3. An analysis of the noise schedule for score-based generative models
   2024/02/07 by Stanislas Strasman, Antonio Ocello, Strasman, Stanislas +7 · 6 citations
   Computer Science · Neuroscience · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Music Technology and Sound Studies #Music and Audio Processing #Neuroscience and Music Perception #Statistics Theory (math.ST)
4. Diffusion posterior sampling for simulation-based inference in tall data settings
   2024/04/11 by Julia Linhart, Linhart, Julia, Gabriel Victorino Cardoso +7 · 4 citations
   Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Model Reduction and Neural Networks
5. A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection
   2013/12/19 by Amandine Schreck, Gersende Fort, Schreck, Amandine +5 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST)
6. Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space
   2019/02/04 by Élisabeth Gassiat, Sylvain Le Corff, Gassiat, Elisabeth +3 · 3 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Statistics Theory (math.ST)
7. Consistent estimation of the filtering and marginal smoothing\n distributions in nonparametric hidden Markov models
   2015/07/23 by Yohann de Castro, Élisabeth Gassiat, De Castro, Yohann +3 · 1 citation
   Computer Science · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Mathematics #Statistics Theory (math.ST) #Target Tracking and Data Fusion in Sensor Networks
8. HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series
   2022/02/07 by Étienne David, David, Etienne, Jean Pierre Bellot +5 · 1 citation
   Business, Management and Accounting · Computer Science · Engineering · #Consumer Market Behavior and Pricing #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Signal Processing (eess.SP) #Statistics Theory (math.ST) #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques #electronic engineering #information engineering
9. Diffusion bridges vector quantized Variational AutoEncoders
   2022/02/10 by Max M. Cohen, Cohen, Max, Guillaume Quispe +6 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
10. Non-asymptotic deviation inequalities for smoothed additive functionals in non-linear state-space models
    2010/12/19 by Cyrille Dubarry, Dubarry, Cyrille, Sylvain Le Corff +1 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Mathematics #Statistical Methods and Inference #Statistics Theory (math.ST) #Target Tracking and Data Fusion in Sensor Networks