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Variational Inference

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TitleStatusHype
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge TracingCode0
PAVI: Plate-Amortized Variational Inference—0
Multi-Response Heteroscedastic Gaussian Process Models and Their Inference—0
Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach—0
Bayesian Exploration Networks—0
Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0Code0
Semi-Implicit Variational Inference via Score MatchingCode0
Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks—0
Bayesian polynomial neural networks and polynomial neural ordinary differential equations—0
A Survey on Brain-Inspired Deep Learning via Predictive Coding—0
Natural Evolution Strategies as a Black Box Estimator for Stochastic Variational Inference—0
Comparing the quality of neural network uncertainty estimates for classification problems—0
Learning Distributions via Monte-Carlo Marginalization—0
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks—0
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification—0
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns—0
Path Signatures for Diversity in Probabilistic Trajectory Optimisation—0
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood EstimationCode0
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference—0
Variational Label-Correlation Enhancement for Congestion Prediction—0
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer—0
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?—0
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation—0
Learning minimal representations of stochastic processes with variational autoencodersCode0
Amortized Variational Inference: When and Why?Code0
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