| A Variational Edge Partition Model for Supervised Graph Representation Learning | Feb 7, 2022 | ClassificationGraph Representation Learning | CodeCode Available | 0 | 5 |
| Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory | Sep 9, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter | Oct 17, 2020 | DiversityState Space Models | CodeCode Available | 0 | 5 |
| Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes | Sep 22, 2023 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Estimating Buildings' Parameters over Time Including Prior Knowledge | Jan 9, 2019 | Causal Inferenceparameter estimation | CodeCode Available | 0 | 5 |
| Benchmarking and optimizing organism wide single-cell RNA alignment methods | Mar 26, 2025 | BenchmarkingDecoder | CodeCode Available | 0 | 5 |
| β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers | Aug 31, 2020 | Bayesian InferenceData Summarization | CodeCode Available | 0 | 5 |
| DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks | Nov 2, 2021 | Survival AnalysisSurvival Prediction | CodeCode Available | 0 | 5 |
| DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora | Nov 3, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Approximation Based Variance Reduction for Reparameterization Gradients | Jul 29, 2020 | Variational Inference | CodeCode Available | 0 | 5 |
