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Variational Inference

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Showing 626–650 of 2274 papers

TitleStatusHype
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification—0
Distribution Matching in Variational Inference—0
Ergodic Measure Preserving Flows—0
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution—0
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder—0
Diversity-Promoting Bayesian Learning of Latent Variable Models—0
Discrete flow posteriors for variational inference in discrete dynamical systems—0
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation—0
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM—0
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation—0
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse—0
A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS—0
Aleatoric uncertainty for Errors-in-Variables models in deep regression—0
Doubly Semi-Implicit Variational Inference—0
Bayesian Policy Search for Stochastic Domains—0
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection—0
Differentially private stochastic expectation propagation (DP-SEP)—0
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework—0
DPVIm: Differentially Private Variational Inference Improved—0
DropMax: Adaptive Stochastic Softmax—0
Bayesian Probabilistic Co-Subspace Addition—0
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders—0
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