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Variational Inference

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Showing 901–950 of 2274 papers

TitleStatusHype
CCSL: A Causal Structure Learning Method from Multiple Unknown EnvironmentsCode0
Neural Dynamic Focused Topic Model—0
Blind Channel Estimation for MIMO Systems via Variational Inference—0
PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding—0
Natural Gradient Variational Inference with Gaussian Mixture Models—0
Predictive coding, precision and natural gradients—0
Robust Learning via Ensemble Density Propagation in Deep Neural Networks—0
CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage—0
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian ProcessesCode0
Amortized Variational Inference for Simple Hierarchical Models—0
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time SeriesCode0
Variational Inference with Holder Bounds—0
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural NetworksCode0
Spatio-Temporal Variational Gaussian ProcessesCode1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesCode1
A derivation of variational message passing (VMP) for latent Dirichlet allocation (LDA)—0
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
Robust Deep Learning from Crowds with Belief PropagationCode1
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media—0
Discovering Non-monotonic Autoregressive Orderings with Variational InferenceCode1
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels—0
TopicNet: Semantic Graph-Guided Topic DiscoveryCode0
Relay Variational Inference: A Method for Accelerated Encoderless VI—0
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte CarloCode0
Regularizing Variational Autoencoder with Diversity and Uncertainty AwarenessCode0
An Empirical Study: Extensive Deep Temporal Point ProcessCode1
Interpolating between sampling and variational inference with infinite stochastic mixturesCode0
VISinger: Variational Inference with Adversarial Learning for End-to-End Singing Voice Synthesis—0
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with UncertaintyCode1
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modelingCode0
Is MC Dropout Bayesian?—0
Pathologies in priors and inference for Bayesian transformers—0
Marginally calibrated response distributions for end-to-end learning in autonomous drivingCode0
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learningCode0
Variational Marginal Particle FiltersCode0
UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION—0
Variational Inference via Resolution of Singularities—0
Learning From Unpaired Data: A Variational Bayes Approach—0
Variational Component Decoder for Source Extraction from Nonlinear Mixture—0
EinSteinVI: General and Integrated Stein Variational Inference—0
Tractable Dendritic RNNs for Identifying Unknown Nonlinear Dynamical Systems—0
Deep Ensemble as a Gaussian Process Posterior—0
Deep Attentive Variational Inference—0
How to deal with missing data in supervised deep learning?—0
Function-Space Variational Inference for Deep Bayesian Classification—0
Neural Relational Inference with Node-Specific Information—0
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How—0
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data—0
Neural Variational Dropout Processes—0
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