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Variational Inference

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Showing 951–975 of 2274 papers

TitleStatusHype
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data—0
Learning to Dequantise with Truncated Flows—0
f-Divergence Thermodynamic Variational Objective: a Deformed Geometry Perspective—0
Edge Partition Modulated Graph Convolutional Networks—0
A First-Order Method for Estimating Natural Gradients for Variational Inference with Gaussians and Gaussian Mixture Models—0
Variational Inference for Continuous-Time Switching Dynamical Systems—0
Sparse Gaussian Processes for Stochastic Differential Equations—0
Using Soft Labels to Model Uncertainty in Medical Image Segmentation—0
Bayesian Confidence Calibration for Epistemic Uncertainty ModellingCode1
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization—0
Variational Disentanglement for Domain Generalization—0
Learning Opinion Summarizers by Selecting Informative ReviewsCode1
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations—0
Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL TranslationCode1
A Mathematical Walkthrough and Discussion of the Free Energy Principle—0
An Introduction to Variational Inference—0
Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive ModelsCode0
Modeling Item Response Theory with Stochastic Variational Inference—0
Few Shot Activity Recognition Using Variational Inference—0
Variational Inference at Glacier Scale—0
Regularized Sequential Latent Variable Models with Adversarial Neural Networks—0
Pathfinder: Parallel quasi-Newton variational inferenceCode1
P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly ScreeningCode1
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities—0
Bayesian Active Meta-Learning for Few Pilot Demodulation and EqualizationCode0
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