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Variational Inference

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TitleStatusHype
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines—0
Treatment Learning Causal Transformer for Noisy Image Classification—0
A Sparsity-promoting Dictionary Model for Variational Autoencoders—0
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA—0
Approximate Inference for Stochastic Planning in Factored SpacesCode0
Representation Uncertainty in Self-Supervised Learning as Variational Inference—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
Variational inference of fractional Brownian motion with linear computational complexity—0
Accelerating Stochastic Probabilistic Inference—0
Flexible Amortized Variational Inference in qBOLD MRICode0
Bayesian Spatial Predictive Synthesis—0
The Transitive Information Theory and its Application to Deep Generative Models—0
Variational methods for simulation-based inferenceCode0
Variational Inference with Locally Enhanced Bounds for Hierarchical Models—0
Recursive Monte Carlo and Variational Inference with Auxiliary VariablesCode0
Learning Conditional Variational Autoencoders with Missing Covariates—0
VaiPhy: a Variational Inference Based Algorithm for PhylogenyCode0
Differential equation and probability inspired graph neural networks for latent variable learningCode0
Theoretical Error Analysis of Entropy Approximation for Gaussian Mixtures—0
Variational inference for large Bayesian vector autoregressions—0
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference—0
Fast variational Bayes methods for multinomial probit models—0
Towards Effective and Robust Neural Trojan Defenses via Input Filtering—0
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function—0
Estimators of Entropy and Information via Inference in Probabilistic Models—0
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