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Variational Inference

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TitleStatusHype
A Factorial Mixture Prior for Compositional Deep Generative Models—0
A Tutorial on Deep Latent Variable Models of Natural Language—0
Non-Factorised Variational Inference in Dynamical Systems—0
An Introduction to Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications—0
Closed-form Inference and Prediction in Gaussian Process State-Space Models—0
Physics-informed deep generative models—0
Efficient transfer learning and online adaptation with latent variable models for continuous control—0
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process—0
Knowing what you know in brain segmentation using Bayesian deep neural networksCode0
Coupled Variational Bayes via Optimization EmbeddingCode0
Provable Variational Inference for Constrained Log-Submodular Models—0
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence—0
Distributed Multitask Reinforcement Learning with Quadratic Convergence—0
Discretely Relaxing Continuous Variables for tractable Variational InferenceCode0
Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems—0
Point process latent variable models of larval zebrafish behavior—0
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference—0
Partitioned Variational Inference: A unified framework encompassing federated and continual learning—0
Deep Bayesian Self-TrainingCode0
Streamlining Variational Inference for Constraint Satisfaction ProblemsCode0
Joint Mapping and Calibration via Differentiable Sensor Fusion—0
Black-Box Autoregressive Density Estimation for State-Space Models—0
Mixed Likelihood Gaussian Process Latent Variable ModelCode0
A Variational Dirichlet Framework for Out-of-Distribution Detection—0
The Theory and Algorithm of Ergodic Inference—0
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