Dominic Boutet · @dominic_boutet
568 followers · 82 posts · Server neuromatch.socialI am taking a class on Probabilistic Graphical Models (PGMs) this semester and we have a final project which can be a breadth lit review on a topic or a research project.
Does anyone know about some cool work that combined PGM or PGM methods (e.g., inference, parameter estimation, learning with partial observations, etc.) with #ComputationalNeuroscience or maybe #DecisionMaking models? Ideally with a focus on methods, algorithms, or simulations.
I'm looking for some starting point to dig through the literature a bit and see if anything catches my attention.
Thanks in advance!
#ProbabilisticGraphicalModels #Neuroscience #ExactInference #VariationalInference #CausalInference #SamplingInference #MCMC #ParameterEstimation #StructureLearning #MarkovNetworks #BayesNetworks
#computationalneuroscience #decisionmaking #probabilisticgraphicalmodels #neuroscience #exactinference #variationalinference #causalinference #samplinginference #mcmc #parameterestimation #structurelearning #markovnetworks #bayesnetworks
Dominic Boutet · @dominic_boutet
303 followers · 128 posts · Server mastodon.online"Towards Improved Learning in Gaussian Processes: The Best of Two Worlds"
https://arxiv.org/abs/2211.06260
#inference #GaussianProcess #ExpectationPropagation #VariationalInference #classification
#classification #variationalinference #expectationpropagation #gaussianprocess #inference #arxivfeed
Harald Melin · @harald
8 followers · 5 posts · Server sigmoid.social#introduction I'm a PhD student at #KTH in #Stockholm working on #Bayesian #phylogenetics. Specifically, Variational inference methods for #evolution and clonal phylogenies of metastatic cancer.
#variationalinference #variationalbayes #ML #cancer #metastasis #genomics #phylogenetics #science
#Introduction #KTH #stockholm #bayesian #phylogenetics #evolution #variationalinference #variationalbayes #ml #cancer #metastasis #genomics #science