Marylou Gabrié

1. flowMC: Normalizing-flow enhanced sampling package for probabilistic inference in Jax
   2022/11/10 by Kaze W. K. Wong, Wong, Kaze W. K., Marylou Gabrié +3 · 8 citations
   Computer Science · #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Topic Modeling
2. On Sampling with Approximate Transport Maps
   2023/02/09 by Louis Grenioux, Alain Durmus, Grenioux, Louis +5 · 4 citations
   Mathematics · Computer Science · Medicine · #Markov Chains and Monte Carlo Methods #Generative Adversarial Networks and Image Synthesis #Advanced Neuroimaging Techniques and Applications
3. Modern applications of machine learning in quantum sciences
   2022/04/08 by Anna Dawid, Dawid, Anna, Julian Arnold +55 · 3 citations
   Computer Science · Materials Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Machine Learning in Materials Science #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
4. Stochastic Localization via Iterative Posterior Sampling
   2024/02/16 by Louis Grenioux, Grenioux, Louis, Maxence Noble +5 · 4 citations
   Computer Science · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
5. Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals
   2021/10/25 by James A. Brofos, Brofos, James A., Marylou Gabrié +5 · 2 citations
   Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Bayesian Methods and Mixture Models
6. Local-Global MCMC kernels: the best of both worlds
   2021/11/04 by Sergey Samsonov, Evgeny Lagutin, Samsonov, Sergey +9 · 2 citations
   Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
7. Balanced Training of Energy-Based Models with Adaptive Flow Sampling
   2023/06/01 by Louis Grenioux, Éric Moulines, Grenioux, Louis +3 · 2 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Neural Networks and Applications
8. Learned Reference-based Diffusion Sampling for multi-modal distributions
   2024/10/25 by Maxence Noble, Noble, Maxence, Louis Grenioux +5 · 4 citations
   Computer Science · #Speech and Audio Processing #Bayesian Methods and Mixture Models #Speech Recognition and Synthesis
9. A theoretical perspective on mode collapse in variational inference
   2024/10/17 by Roman Soletskyi, Marylou Gabrié, Soletskyi, Roman +3 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Engineering · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Image Processing Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Spectroscopy Techniques in Biomedical and Chemical Research #Statistical Mechanics (cond-mat.stat-mech) #Statistics Theory (math.ST) #Yersinia bacterium, plague, ectoparasites research
10. Neural networks: from the perceptron to deep nets
    2023/04/13 by Marylou Gabrié, Gabrié, Marylou, Surya Ganguli +5 · 1 citation
    Computer Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Machine Learning and ELM #Neural Networks and Applications #Statistical Mechanics (cond-mat.stat-mech) #Stochastic Gradient Optimization Techniques
11. Improving the evaluation of samplers on multi-modal targets
    2025/04/11 by Louis Grenioux, Maxence Noble, Grenioux, Louis +3 · 2 citations
    Engineering · #FOS: Computer and information sciences #Infrared Target Detection Methodologies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
12. Boltzmann generators for amorphous particle systems
    2025/12/18 by Louis Grenioux, Grenioux, Louis, Leonardo Galliano +7 · 1 citation
    #stat.ML #cond-mat.stat-mech #cs.LG #physics.comp-ph