| Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection | Apr 23, 2024 | Domain AdaptationGraph Generation | —Unverified | 0 |
| Bayesian evidence estimation from posterior samples with normalizing flows | Apr 18, 2024 | Variational Inference | —Unverified | 0 |
| Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference | Apr 17, 2024 | Variational Inference | CodeCode Available | 0 |
| Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem | Apr 16, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows | Apr 15, 2024 | Autonomous DrivingEfficient Exploration | —Unverified | 0 |
| Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control | Apr 15, 2024 | Model Predictive ControlVariational Inference | —Unverified | 0 |
| Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation | Apr 14, 2024 | Variational Inference | —Unverified | 0 |
| Convergence of coordinate ascent variational inference for log-concave measures via optimal transport | Apr 12, 2024 | Variational Inference | —Unverified | 0 |
| TrajPRed: Trajectory Prediction with Region-based Relation Learning | Apr 10, 2024 | Future predictionPrediction | CodeCode Available | 0 |
| VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection | Apr 9, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 |
| Efficient Training of Probabilistic Neural Networks for Survival Analysis | Apr 9, 2024 | Bayesian InferenceComputational Efficiency | CodeCode Available | 0 |
| Preventing Model Collapse in Gaussian Process Latent Variable Models | Apr 2, 2024 | Dimensionality ReductionImputation | CodeCode Available | 0 |
| Modeling uncertainty for Gaussian Splatting | Mar 27, 2024 | Decision MakingImage Reconstruction | —Unverified | 0 |
| SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder | Mar 26, 2024 | DenoisingImage Denoising | CodeCode Available | 0 |
| Fast and Unified Path Gradient Estimators for Normalizing Flows | Mar 23, 2024 | Computational EfficiencyVariational Inference | —Unverified | 0 |
| Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models | Mar 22, 2024 | Federated LearningUncertainty Quantification | —Unverified | 0 |
| Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs | Mar 20, 2024 | Uncertainty Quantificationvalid | CodeCode Available | 0 |
| Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference | Mar 15, 2024 | Variational Inference | CodeCode Available | 0 |
| VISA: Variational Inference with Sequential Sample-Average Approximations | Mar 14, 2024 | validVariational Inference | —Unverified | 0 |
| Nonparametric Automatic Differentiation Variational Inference with Spline Approximation | Mar 10, 2024 | Variational Inference | —Unverified | 0 |
| Variational Inference of Parameters in Opinion Dynamics Models | Mar 8, 2024 | parameter estimationVariational Inference | —Unverified | 0 |
| An Efficient Difference-of-Convex Solver for Privacy Funnel | Mar 2, 2024 | Variational Inference | CodeCode Available | 0 |
| Stable Training of Normalizing Flows for High-dimensional Variational Inference | Feb 26, 2024 | Variational Inference | CodeCode Available | 0 |
| Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference | Feb 26, 2024 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Language-guided Skill Learning with Temporal Variational Inference | Feb 26, 2024 | SegmentationVariational Inference | —Unverified | 0 |