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Variational Inference

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TitleStatusHype
Unsupervised Neural Machine Translation with Future Rewarding—0
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery—0
Unsupervised Variational Acoustic Clustering—0
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives—0
UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows—0
Use of Variational Inference in Music Emotion Recognition—0
Using Large Ensembles of Control Variates for Variational Inference—0
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model—0
Using Social Network Information in Bayesian Truth Discovery—0
Using Soft Labels to Model Uncertainty in Medical Image Segmentation—0
U-Statistics for Importance-Weighted Variational Inference—0
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection—0
Vairiational Stochastic Games—0
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics—0
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference—0
Variance Reduction for Stochastic Gradient Optimization—0
Variance reduction properties of the reparameterization trick—0
Variational Adaptive-Newton Method for Explorative Learning—0
Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks—0
Variational Autoencoders for Efficient Simulation-Based Inference—0
Variational autoencoders trained with q-deformed lower bounds—0
Variational Bayes: A report on approaches and applications—0
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations—0
Variational Bayes for high-dimensional linear regression with sparse priors—0
Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer—0
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