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Variational Inference

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Showing 1701–1750 of 2274 papers

TitleStatusHype
A Factorial Mixture Prior for Compositional Deep Generative Models—0
Learning a Probabilistic Model for Diffeomorphic Registration—0
A Tutorial on Deep Latent Variable Models of Natural Language—0
Non-Factorised Variational Inference in Dynamical Systems—0
Closed-form Inference and Prediction in Gaussian Process State-Space Models—0
An Introduction to Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications—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
Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems—0
Distributed Multitask Reinforcement Learning with Quadratic Convergence—0
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence—0
Provable Variational Inference for Constrained Log-Submodular Models—0
Discretely Relaxing Continuous Variables for tractable Variational InferenceCode0
Point process latent variable models of larval zebrafish behavior—0
Coupled Variational Bayes via Optimization EmbeddingCode0
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
Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights—0
Dependency Grammar Induction with a Neural Variational Transition-based Parser—0
A General Method for Amortizing Variational FilteringCode0
Learning Latent Dynamics for Planning from PixelsCode1
Multi-Source Neural Variational Inference—0
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural GradientCode0
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems—0
BAR: Bayesian Activity Recognition using variational inference—0
A Factor Graph Approach to Automated Design of Bayesian Signal Processing AlgorithmsCode0
Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference—0
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization—0
Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data—0
Fast Non-Bayesian Poisson Factorization for Implicit-Feedback RecommendationsCode0
VIREL: A Variational Inference Framework for Reinforcement LearningCode0
Large-scale Heteroscedastic Regression via Gaussian Process—0
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word CorporaCode0
Gaussian Process Conditional Density Estimation—0
Using Large Ensembles of Control Variates for Variational Inference—0
Semi-crowdsourced Clustering with Deep Generative ModelsCode0
Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic OptimizationCode0
Variational Calibration of Computer Models—0
Variational Inference with Tail-adaptive f-DivergenceCode0
Variational Semi-supervised Aspect-term Sentiment Analysis via Transformer—0
Pyro: Deep Universal Probabilistic ProgrammingCode0
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