| Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding | Feb 23, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties | Feb 22, 2024 | Variational Inference | —Unverified | 0 |
| Bayesian Neural Networks with Domain Knowledge Priors | Feb 20, 2024 | FairnessVariational Inference | —Unverified | 0 |
| Variational Entropy Search for Adjusting Expected Improvement | Feb 17, 2024 | Bayesian OptimizationVariational Inference | —Unverified | 0 |
| Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes | Feb 17, 2024 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Training Bayesian Neural Networks with Sparse Subspace Variational Inference | Feb 16, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| MCMC-driven learning | Feb 14, 2024 | Variational Inference | —Unverified | 0 |
| Variational Continual Test-Time Adaptation | Feb 13, 2024 | Test-time AdaptationVariational Inference | —Unverified | 0 |
| Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? | Feb 9, 2024 | Deep LearningOut-of-Distribution Detection | CodeCode Available | 0 |
| Latent variable model for high-dimensional point process with structured missingness | Feb 8, 2024 | DecoderGaussian Processes | CodeCode Available | 0 |
| The VampPrior Mixture Model | Feb 6, 2024 | ClusteringImage Clustering | CodeCode Available | 0 |
| Variational Flow Models: Flowing in Your Style | Feb 5, 2024 | Variational Inference | CodeCode Available | 0 |
| Variational DAG Estimation via State Augmentation With Stochastic Permutations | Feb 4, 2024 | Causal DiscoveryUncertainty Quantification | —Unverified | 0 |
| A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing | Feb 2, 2024 | Variational Inference | —Unverified | 0 |
| Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach | Jan 30, 2024 | Activity DetectionVariational Inference | CodeCode Available | 0 |
| Multilayer Simplex-structured Matrix Factorization for Hyperspectral Unmixing with Endmember Variability | Jan 26, 2024 | Hyperspectral UnmixingVariational Inference | —Unverified | 0 |
| Towards Improved Variational Inference for Deep Bayesian Models | Jan 23, 2024 | Gaussian ProcessesModel Selection | —Unverified | 0 |
| Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations | Jan 22, 2024 | Autonomous DrivingDeep Reinforcement Learning | —Unverified | 0 |
| Provably Scalable Black-Box Variational Inference with Structured Variational Families | Jan 19, 2024 | Variational Inference | —Unverified | 0 |
| Efficient Nonparametric Tensor Decomposition for Binary and Count Data | Jan 15, 2024 | Tensor DecompositionVariational Inference | CodeCode Available | 0 |
| Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning | Jan 13, 2024 | Decision MakingVariational Inference | —Unverified | 0 |
| VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition | Jan 10, 2024 | Event DetectionTransfer Learning | CodeCode Available | 0 |
| DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation | Jan 10, 2024 | Collaborative FilteringDisentanglement | CodeCode Available | 0 |
| Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks | Jan 6, 2024 | RetrievalVariational Inference | —Unverified | 0 |
| Complementary Information Mutual Learning for Multimodality Medical Image Segmentation | Jan 5, 2024 | Image SegmentationInductive Bias | —Unverified | 0 |