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Variational Inference

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Showing 326–350 of 2274 papers

TitleStatusHype
AutoBayes: A Compositional Framework for Generalized Variational Inference—0
Joint Sparse Graph for Enhanced MIMO-AFDM Receiver Design—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation—0
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation—0
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference—0
Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control—0
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural NetworksCode0
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network—0
Seal Your Backdoor with Variational Defense—0
Sequential Function-Space Variational Inference via Gaussian Mixture ApproximationCode0
Towards Spatial Transcriptomics-guided Pathological Image Recognition with Batch-Agnostic EncoderCode0
Speech Audio Generation from dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder—0
Vairiational Stochastic Games—0
Seeded Poisson Factorization: Leveraging domain knowledge to fit topic modelsCode0
Vector Copula Variational Inference and Dependent Block Posterior Approximations—0
Addressing Cold-start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling—0
Training Robust Graph Neural Networks by Modeling Noise DependenciesCode0
Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogatesCode0
Actively Inferring Optimal Measurement Sequences—0
Time Series Domain Adaptation via Latent Invariant Causal MechanismCode0
Logit Disagreement: OoD Detection with Bayesian Neural Networks—0
Safe Beyond the Horizon: Efficient Sampling-based MPC with Neural Control Barrier Functions—0
Confidence Estimation via Sequential Likelihood Mixing—0
Partially Observable Gaussian Process Network and Doubly Stochastic Variational Inference—0
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