| Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm | Aug 11, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks | Aug 10, 2024 | Variational Inference | —Unverified | 0 |
| A Non-negative VAE:the Generalized Gamma Belief Network | Aug 6, 2024 | Representation LearningVariational Inference | —Unverified | 0 |
| Distance-Preserving Spatial Representations in Genomic Data | Aug 1, 2024 | Representation LearningTransfer Learning | —Unverified | 0 |
| Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification | Aug 1, 2024 | Operator learningUncertainty Quantification | —Unverified | 0 |
| Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation | Aug 1, 2024 | Graph Representation LearningRepresentation Learning | CodeCode Available | 1 |
| Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography | Jul 30, 2024 | Variational Inference | CodeCode Available | 0 |
| Variational Inference Using Material Point Method | Jul 26, 2024 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network | Jul 26, 2024 | DecoderEnsemble Learning | —Unverified | 0 |
| Amortized Posterior Sampling with Diffusion Prior Distillation | Jul 25, 2024 | Variational Inference | —Unverified | 0 |
| Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes | Jul 24, 2024 | Federated LearningGaussian Processes | —Unverified | 0 |
| Gradient-based inference of abstract task representations for generalization in neural networks | Jul 24, 2024 | Language ModellingVariational Inference | —Unverified | 0 |
| Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference | Jul 24, 2024 | DenoisingGaussian Processes | CodeCode Available | 0 |
| Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems | Jul 23, 2024 | ColorizationDeblurring | CodeCode Available | 2 |
| Neural information field filter | Jul 23, 2024 | parameter estimationVariational Inference | —Unverified | 0 |
| Revisiting Score Function Estimators for k-Subset Sampling | Jul 22, 2024 | feature selectionVariational Inference | —Unverified | 0 |
| SoftCVI: Contrastive variational inference with self-generated soft labels | Jul 22, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework | Jul 20, 2024 | Hyperspectral UnmixingVariational Inference | —Unverified | 0 |
| Improving Graph Out-of-distribution Generalization on Real-world Data | Jul 14, 2024 | Bayesian InferenceOut-of-Distribution Generalization | —Unverified | 0 |
| Variational Inference via Smoothed Particle Hydrodynamics | Jul 12, 2024 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Autoregressive Speech Synthesis without Vector Quantization | Jul 11, 2024 | Audio CompressionDiversity | —Unverified | 0 |
| Variational Best-of-N Alignment | Jul 8, 2024 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Idiographic Personality Gaussian Process for Psychological Assessment | Jul 6, 2024 | Variational Inference | —Unverified | 0 |
| Scalable Variational Causal Discovery Unconstrained by Acyclicity | Jul 6, 2024 | Causal Discoveryvalid | CodeCode Available | 0 |
| Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation | Jul 5, 2024 | Stochastic OptimizationUncertainty Quantification | CodeCode Available | 1 |
