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Variational Inference

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Showing 301–350 of 2274 papers

TitleStatusHype
Nash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression—0
PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from VideoCode0
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering—0
Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism—0
Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation—0
Variational Formulation of the Particle Flow Particle Filter—0
IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data—0
Factor Analysis with Correlated Topic Model for Multi-Modal Data—0
Expected Free Energy-based Planning as Variational Inference—0
Uncertainty quantification of neural network models of evolving processes via Langevin sampling—0
Large Language Bayes—0
Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks—0
No-Regret Generative Modeling via Parabolic Monge-Ampère PDE—0
Unifying and extending Diffusion Models through PDEs for solving Inverse Problems—0
Variational Self-Supervised Learning—0
RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex ScenariosCode0
Accelerating Particle-based Energetic Variational Inference—0
Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching—0
Stochastic Variational Inference with Tuneable Stochastic Annealing—0
UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows—0
Benchmarking and optimizing organism wide single-cell RNA alignment methodsCode0
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers—0
Unsupervised Variational Acoustic Clustering—0
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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