| Thompson sampling for improved exploration in GFlowNets | Jun 30, 2023 | Active LearningDecision Making | —Unverified | 0 |
| Latent SDEs on Homogeneous Spaces | Jun 28, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference | Jun 27, 2023 | Experimental DesignVariational Inference | —Unverified | 0 |
| Variational latent discrete representation for time series modelling | Jun 27, 2023 | ManagementTime Series | —Unverified | 0 |
| Joint Prompt Optimization of Stacked LLMs using Variational Inference | Jun 21, 2023 | Natural Language UnderstandingVariational Inference | CodeCode Available | 1 |
| Structure-Sensitive Graph Dictionary Embedding for Graph Classification | Jun 18, 2023 | ClassificationGraph Classification | —Unverified | 0 |
| Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation | Jun 17, 2023 | blind source separationVariational Inference | —Unverified | 0 |
| A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning | Jun 16, 2023 | Bayesian InferenceMeta-Learning | CodeCode Available | 0 |
| Structured Cooperative Learning with Graphical Model Priors | Jun 16, 2023 | modelStochastic Block Model | CodeCode Available | 0 |
| A Heavy-Tailed Algebra for Probabilistic Programming | Jun 15, 2023 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems | Jun 14, 2023 | State EstimationState Space Models | —Unverified | 0 |
| Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language | Jun 13, 2023 | Variational Inference | —Unverified | 0 |
| Variational Positive-incentive Noise: How Noise Benefits Models | Jun 13, 2023 | Variational Inference | CodeCode Available | 0 |
| Conditional Matrix Flows for Gaussian Graphical Models | Jun 12, 2023 | Model SelectionVariational Inference | CodeCode Available | 1 |
| Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma | Jun 11, 2023 | CPUVariational Inference | —Unverified | 0 |
| VIFS: An End-to-End Variational Inference for Foley Sound Synthesis | Jun 8, 2023 | Speech Synthesistext-to-speech | CodeCode Available | 0 |
| Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models | Jun 7, 2023 | Hyperparameter OptimizationVariational Inference | CodeCode Available | 0 |
| GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPM | Jun 6, 2023 | Change DetectionDenoising | CodeCode Available | 0 |
| Path-Specific Counterfactual Fairness for Recommender Systems | Jun 5, 2023 | Blockingcounterfactual | CodeCode Available | 1 |
| Input-gradient space particle inference for neural network ensembles | Jun 5, 2023 | DiversityEnsemble Learning | CodeCode Available | 0 |
| Deep Active Learning with Structured Neural Depth Search | Jun 5, 2023 | Active LearningVariational Inference | —Unverified | 0 |
| Provable convergence guarantees for black-box variational inference | Jun 4, 2023 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| ContraBAR: Contrastive Bayes-Adaptive Deep RL | Jun 4, 2023 | Contrastive LearningMeta Reinforcement Learning | CodeCode Available | 1 |
| Variational Gaussian Process Diffusion Processes | Jun 3, 2023 | Variational Inference | CodeCode Available | 0 |
| An information field theory approach to Bayesian state and parameter estimation in dynamical systems | Jun 3, 2023 | parameter estimationState Estimation | CodeCode Available | 1 |
