| A Particle Algorithm for Mean-Field Variational Inference | Dec 29, 2024 | Variational Inference | —Unverified | 0 |
| Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes | Dec 27, 2024 | Gaussian ProcessesGPU | —Unverified | 0 |
| PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation | Dec 25, 2024 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Convergence of Statistical Estimators via Mutual Information Bounds | Dec 24, 2024 | Learning TheoryVariational Inference | —Unverified | 0 |
| Learning Set Functions with Implicit Differentiation | Dec 15, 2024 | Anomaly DetectionProduct Recommendation | —Unverified | 0 |
| Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression | Dec 14, 2024 | Computational EfficiencyDiversity | CodeCode Available | 0 |
| Efficient Generative Modeling with Residual Vector Quantization-Based Tokens | Dec 13, 2024 | Conditional Image GenerationImage Generation | —Unverified | 0 |
| Stochastic Learning of Non-Conjugate Variational Posterior for Image Classification | Dec 12, 2024 | Deep Clusteringimage-classification | —Unverified | 0 |
| Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI | Dec 11, 2024 | Variational Inference | —Unverified | 0 |
| DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection | Dec 6, 2024 | Anomaly DetectionBayesian Inference | —Unverified | 0 |
| Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning | Dec 5, 2024 | Computational EfficiencyDeep Learning | CodeCode Available | 0 |
| Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis | Dec 4, 2024 | Variational Inference | CodeCode Available | 0 |
| Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations | Dec 1, 2024 | Variational Inference | —Unverified | 0 |
| VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference | Nov 28, 2024 | DeblurringDenoising | —Unverified | 0 |
| Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial | Nov 24, 2024 | Learning TheoryVariational Inference | —Unverified | 0 |
| Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks | Nov 21, 2024 | Continual LearningTransfer Learning | —Unverified | 0 |
| Gradient-based optimization for variational empirical Bayes multiple regression | Nov 21, 2024 | regressionVariational Inference | CodeCode Available | 0 |
| Variational Autoencoders for Efficient Simulation-Based Inference | Nov 21, 2024 | Computational EfficiencyVariational Inference | —Unverified | 0 |
| LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport | Nov 19, 2024 | Variational Inference | —Unverified | 0 |
| C^2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention | Nov 19, 2024 | Autonomous DrivingContinual Learning | —Unverified | 0 |
| Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning | Nov 18, 2024 | Decision MakingModel-based Reinforcement Learning | —Unverified | 0 |
| Variational Bayesian Bow tie Neural Networks with Shrinkage | Nov 17, 2024 | Bayesian InferenceData Augmentation | CodeCode Available | 0 |
| Sparse Bayesian Generative Modeling for Compressive Sensing | Nov 14, 2024 | Compressive SensingUncertainty Quantification | CodeCode Available | 0 |
| PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation Learning | Nov 10, 2024 | Contrastive LearningPrivacy Preserving | CodeCode Available | 0 |
| Streaming Bayes GFlowNets | Nov 8, 2024 | Bayesian InferenceVariational Inference | —Unverified | 0 |