Marcel Nonnenmacher

1. Automatic Posterior Transformation for Likelihood-Free Inference
   2019/05/17 by David S. Greenberg, Marcel Nonnenmacher, Greenberg, David S. +3 · 43 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Model Reduction and Neural Networks
2. Flexible statistical inference for mechanistic models of neural dynamics
   2017/11/06 by Jan-Matthis Lueckmann, Lueckmann, Jan-Matthis, Pedro J. Gonçalves +9 · 29 citations
   Computer Science · Mathematics · Neuroscience · #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Neural dynamics and brain function
3. Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations
   2017/11/06 by Marcel Nonnenmacher, Nonnenmacher, Marcel, Srinivas C. Turaga +3 · 2 citations
   Computer Science · Neuroscience · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Neural Networks and Applications #Neural dynamics and brain function