| 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 |
| Variational Autoencoders for Efficient Simulation-Based Inference | Nov 21, 2024 | Computational EfficiencyVariational Inference | —Unverified | 0 |
| Gradient-based optimization for variational empirical Bayes multiple regression | Nov 21, 2024 | regressionVariational Inference | CodeCode Available | 0 |
| Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks | Nov 21, 2024 | Continual LearningTransfer Learning | —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 |
| PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking | Nov 10, 2024 | CPUMulti-Object Tracking | CodeCode Available | 1 |
| 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 |
| Discovering Latent Structural Causal Models from Spatio-Temporal Data | Nov 8, 2024 | Causal DiscoveryEpidemiology | —Unverified | 0 |
| Variational Inference on the Boolean Hypercube with the Quantum Entropy | Nov 6, 2024 | Variational Inference | CodeCode Available | 0 |
| Recursive Learning of Asymptotic Variational Objectives | Nov 4, 2024 | State Space ModelsVariational Inference | —Unverified | 0 |
| Risk-sensitive control as inference with Rényi divergence | Nov 4, 2024 | Reinforcement Learning (RL)Variational Inference | CodeCode Available | 0 |
| EigenVI: score-based variational inference with orthogonal function expansions | Oct 31, 2024 | Variational Inference | —Unverified | 0 |
| Functional Gradient Flows for Constrained Sampling | Oct 30, 2024 | Variational Inference | CodeCode Available | 0 |
| Batch, match, and patch: low-rank approximations for score-based variational inference | Oct 29, 2024 | Variational Inference | —Unverified | 0 |
| Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors | Oct 29, 2024 | Short Text ClusteringText Clustering | —Unverified | 0 |
| SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication | Oct 29, 2024 | Representation LearningSelf-Supervised Learning | —Unverified | 0 |
| Variational inference for pile-up removal at hadron colliders with diffusion models | Oct 29, 2024 | Variational Inference | —Unverified | 0 |