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Variational Inference

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TitleStatusHype
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference—0
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks—0
Exact Inference for Continuous-Time Gaussian Process Dynamics—0
Distributed Variational Inference for Online Supervised LearningCode0
Variational Bayesian Imaging with an Efficient Surrogate Score-based PriorCode1
Interactive Graph Convolutional Filtering—0
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge TracingCode0
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space ModelsCode1
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
Natural Evolution Strategies as a Black Box Estimator for Stochastic Variational Inference—0
A Survey on Brain-Inspired Deep Learning via Predictive Coding—0
Learning Distributions via Monte-Carlo Marginalization—0
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks—0
Comparing the quality of neural network uncertainty estimates for classification problems—0
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification—0
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns—0
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image DenoisingCode1
Path Signatures for Diversity in Probabilistic Trajectory Optimisation—0
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