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Variational Inference

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TitleStatusHype
Control as Hybrid Inference—0
Variational Inference with Continuously-Indexed Normalizing FlowsCode0
Self-Reflective Variational Autoencoder—0
Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule—0
Meta-Learning Divergences of Variational Inference—0
All in the Exponential Family: Bregman Duality in Thermodynamic Variational InferenceCode0
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder—0
Neural Mixed Counting Models for Dispersed Topic Discovery—0
Learning Robot Skills with Temporal Variational Inference—0
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing FlowsCode0
Variational Orthogonal Features—0
On the Relationship Between Active Inference and Control as Inference—0
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal PosteriorsCode0
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data—0
Calibration of Model Uncertainty for Dropout Variational Inference—0
Learning to infer in recurrent biological networksCode0
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization—0
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF—0
Analytical Probability Distributions and EM-Learning for Deep Generative Networks—0
A Deterministic Approximation to Neural SDEs—0
PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons—0
Approximate Inference for Spectral Mixture Kernel—0
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks—0
Learning to Learn Kernels with Variational Random FeaturesCode0
Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban MobilityCode0
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