Nicolas Brosse

1. The promises and pitfalls of Stochastic Gradient Langevin Dynamics
   2018/11/25 by Nicolas Brosse, Alain Durmus, Brosse, Nicolas +3 · 8 citations
   Computer Science · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantum Computing Algorithms and Architecture #Quantum many-body systems
2. The tamed unadjusted Langevin algorithm
   2019/10/01 by Nicolas Brosse, Alain Durmus, Éric Moulines +1 · 6 citations
3. Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo
   2017/05/24 by Nicolas Brosse, Brosse, Nicolas, Alain Durmus +5 · 6 citations
   Mathematics · #Markov Chains and Monte Carlo Methods #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
4. Nanocellulose: From Fundamentals to Advanced Applications
   2020/05/06 by Djalal Trache, Ahmed Fouzi Tarchoun, Mehdi Derradji +4 · 2 citations
   Materials Science · #Advanced Cellulose Research Studies #Nanocomposite Films for Food Packaging
5. Normalizing constants of log-concave densities
   2017/07/03 by Nicolas Brosse, Brosse, Nicolas, Alain Durmus +3 · 1 citation
   Computer Science · Mathematics · #60F25 #60J05 #62L10 (Primary) 65C40 #65C05 #74G10 #74G15 (Secondary) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
6. On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation
   2020/01/22 by Nicolas Brosse, Carlos Riquelme, Brosse, Nicolas +7 · 1 citation
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)