Hinne, Max

1. Forward Amortized Inference for Likelihood-Free Variational Marginalization
   2018/05/29 by Ambrogioni, Luca, Güçlü, Umut, Berezutskaya, Julia +5 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Efficient sampling of Gaussian graphical models using conditional Bayes\n factors
   2014/09/09 by Max Hinne, Alex Lenkoski, Hinne, Max +5 · 1 citation
   Computer Science · Neuroscience · #Blind Source Separation Techniques #FOS: Biological sciences #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Memory and Neural Mechanisms #Methodology (stat.ME) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
3. Wasserstein Variational Inference
   2018/05/29 by Ambrogioni, Luca, Güçlü, Umut, Güçlütürk, Yağmur +3 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian Minimization
   2025/04/03 by David Leeftink, Çağatay Yıldız, Leeftink, David +7 · 4 voices · 3 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG