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Variational Inference

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TitleStatusHype
Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation—0
Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization—0
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations—0
Latent Time Neural Ordinary Differential Equations—0
Surrogate Likelihoods for Variational Annealed Importance Sampling—0
Information Field Theory and Artificial Intelligence—0
Hierarchical Variational Memory for Few-shot Learning Across DomainsCode0
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks—0
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer—0
A Continuous-time Stochastic Gradient Descent Method for Continuous Data—0
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks—0
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Variational Continual Bayesian Meta-Learning—0
Probabilistic Tensor Decomposition of Neural Population Spiking ActivityCode0
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels—0
Continuous-time edge modelling using non-parametric point processes—0
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models—0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
A universal probabilistic spike count model reveals ongoing modulation of neural variability—0
Collapsed Variational Bounds for Bayesian Neural NetworksCode0
Functional Variational Inference based on Stochastic Process Generators—0
Modified Frank Wolfe in Probability Space—0
Learning to Learn Dense Gaussian Processes for Few-Shot Learning—0
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning—0
Optimality of variational inference for stochasticblock model with missing links—0
Latent Matters: Learning Deep State-Space Models—0
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors—0
Variational Gibbs Inference for Statistical Model Estimation from Incomplete DataCode0
Differentially private stochastic expectation propagation (DP-SEP)—0
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule—0
Weight Pruning and Uncertainty in Radio Galaxy ClassificationCode0
Structured Stochastic Gradient MCMC: a hybrid VI and MCMC approach—0
Matrix Inversion free variational inference in Conditional Student's T Processes—0
Shooting Schrödinger’s Cat—0
Probabilistic Deep Learning with Generalised Variational Inference—0
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel—0
CCSL: A Causal Structure Learning Method from Multiple Unknown EnvironmentsCode0
Blind Channel Estimation for MIMO Systems via Variational Inference—0
Neural Dynamic Focused Topic Model—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
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