| Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference | Sep 6, 2023 | Point ProcessesTime Series | —Unverified | 0 |
| Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks | Sep 6, 2023 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Exact Inference for Continuous-Time Gaussian Process Dynamics | Sep 5, 2023 | Variational Inference | —Unverified | 0 |
| Distributed Variational Inference for Online Supervised Learning | Sep 5, 2023 | Binary ClassificationVariational Inference | CodeCode Available | 0 |
| Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior | Sep 5, 2023 | Variational Inference | CodeCode Available | 1 |
| Interactive Graph Convolutional Filtering | Sep 4, 2023 | Collaborative FilteringMeta-Learning | —Unverified | 0 |
| Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing | Sep 3, 2023 | Knowledge TracingRepresentation Learning | CodeCode Available | 0 |
| Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models | Sep 3, 2023 | Gaussian ProcessesState Space Models | CodeCode Available | 1 |
| PAVI: Plate-Amortized Variational Inference | Aug 30, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Multi-Response Heteroscedastic Gaussian Process Models and Their Inference | Aug 29, 2023 | regressionState Space Models | —Unverified | 0 |
| Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach | Aug 25, 2023 | Variational Inference | —Unverified | 0 |
| Bayesian Exploration Networks | Aug 24, 2023 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 |
| Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0 | Aug 23, 2023 | Benchmarkingregression | CodeCode Available | 0 |
| Semi-Implicit Variational Inference via Score Matching | Aug 19, 2023 | Bayesian InferenceDenoising | CodeCode Available | 0 |
| Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks | Aug 17, 2023 | Computational EfficiencyModel Compression | —Unverified | 0 |
| Bayesian polynomial neural networks and polynomial neural ordinary differential equations | Aug 17, 2023 | Bayesian InferencePolynomial Neural Networks | —Unverified | 0 |
| Natural Evolution Strategies as a Black Box Estimator for Stochastic Variational Inference | Aug 15, 2023 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| A Survey on Brain-Inspired Deep Learning via Predictive Coding | Aug 15, 2023 | Deep LearningSurvey | —Unverified | 0 |
| Learning Distributions via Monte-Carlo Marginalization | Aug 11, 2023 | DecoderDensity Estimation | —Unverified | 0 |
| Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks | Aug 11, 2023 | image-classificationImage Classification | —Unverified | 0 |
| Comparing the quality of neural network uncertainty estimates for classification problems | Aug 11, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Probabilistic Neural Transfer Function Estimation with Bayesian System Identification | Aug 11, 2023 | Variational Inference | —Unverified | 0 |
| Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns | Aug 10, 2023 | Variational Inference | —Unverified | 0 |
| Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising | Aug 9, 2023 | DenoisingImage Denoising | CodeCode Available | 1 |
| Path Signatures for Diversity in Probabilistic Trajectory Optimisation | Aug 8, 2023 | DiversityMotion Planning | —Unverified | 0 |