| Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space | Jan 29, 2025 | Variational Inference | CodeCode Available | 0 |
| Can Transformers Learn Full Bayesian Inference in Context? | Jan 28, 2025 | Bayesian InferenceIn-Context Learning | CodeCode Available | 1 |
| Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer | Jan 26, 2025 | Acoustic Scene ClassificationScene Classification | —Unverified | 0 |
| Approximate Message Passing for Bayesian Neural Networks | Jan 26, 2025 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Deep Operator Networks for Bayesian Parameter Estimation in PDEs | Jan 18, 2025 | parameter estimationPDE Surrogate Modeling | —Unverified | 0 |
| A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading | Jan 17, 2025 | Bayesian InferenceSand | —Unverified | 0 |
| Globally Convergent Variational Inference | Jan 14, 2025 | Variational Inference | CodeCode Available | 0 |
| Compact Bayesian Neural Networks via pruned MCMC sampling | Jan 12, 2025 | Network PruningUncertainty Quantification | CodeCode Available | 0 |
| Generative Flow Networks: Theory and Applications to Structure Learning | Jan 9, 2025 | Sequential Decision MakingVariational Inference | —Unverified | 0 |
| Analog Bayesian neural networks are insensitive to the shape of the weight distribution | Jan 9, 2025 | Variational Inference | —Unverified | 0 |
| Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems | Jan 8, 2025 | Bayesian InferenceVariational Inference | CodeCode Available | 2 |
| Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure Measurements | Jan 6, 2025 | Computational EfficiencyUncertainty Quantification | CodeCode Available | 0 |
| 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 |
| Enhance Vision-Language Alignment with Noise | Dec 14, 2024 | Variational Inference | CodeCode Available | 1 |
| 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 |
| Training-Free Bayesianization for Low-Rank Adapters of Large Language Models | Dec 7, 2024 | Variational Inference | CodeCode Available | 1 |
| 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 |