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Publications by Lars Buesing
Probabilistic Inference in General Graphical Models Through Sampling in Stochastic Networks of Spiking Neurons
PLoS Computational Biology
Molecular Neuroscience
Evolution
Ecology
Genetics
Behavior
Molecular Biology
Systematics
Simulation
Cellular
Computational Theory
Mathematics
Modeling
Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons
PLoS Computational Biology
Molecular Neuroscience
Evolution
Ecology
Genetics
Behavior
Molecular Biology
Systematics
Simulation
Cellular
Computational Theory
Mathematics
Modeling
Related publications
Self-Organized Supercriticality and Oscillations in Networks of Stochastic Spiking Neurons
Entropy
Electronic Engineering
Information Systems
Mathematical Physics
Electrical
Astronomy
Physics
Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks
Frontiers in Neuroscience
Neuroscience
Macroscopic Description for Networks of Spiking Neurons
Physical Review X
Astronomy
Physics
Probabilistic Graphical Models for Computational Biomedicine
Methods of Information in Medicine
Health Information Management
Specialized Nursing
Advanced
Health Informatics
Inferring Brain Networks Through Graphical Models With Hidden Variables
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
Optimization Methods for Spiking Neurons and Networks
IEEE Transactions on Neural Networks
Towards Verified Stochastic Variational Inference for Probabilistic Programs
Proceedings of the ACM on Programming Languages
