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Variational Inference

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TitleStatusHype
Stochastic Variational Inference with Tuneable Stochastic Annealing—0
RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex ScenariosCode0
Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching—0
Accelerating Particle-based Energetic Variational Inference—0
UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows—0
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers—0
Benchmarking and optimizing organism wide single-cell RNA alignment methodsCode0
Joint Sparse Graph for Enhanced MIMO-AFDM Receiver Design—0
A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Unsupervised Variational Acoustic Clustering—0
AutoBayes: A Compositional Framework for Generalized Variational Inference—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
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural NetworksCode0
Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control—0
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
Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread FunctionsCode2
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
Federated Variational Inference for Bayesian Mixture Models—0
Using the Path of Least Resistance to Explain Deep NetworksCode0
Simplify RLHF as Reward-Weighted SFT: A Variational Method—0
Censor Dependent Variational InferenceCode0
Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics—0
Quantification of model error for inverse problems in the Weak Neural Variational Inference framework—0
Functional Complexity-adaptive Temporal Tensor Decomposition—0
Koopman-Equivariant Gaussian Processes—0
The Odyssey of the Fittest: Can Agents Survive and Still Be Good?Code0
Variational Control for Guidance in Diffusion ModelsCode1
Bridging the inference gap in Mutimodal Variational Autoencoders—0
Mixture of neural operator experts for learning boundary conditions and model selection—0
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis—0
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework—0
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization—0
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks—0
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