| Variance Control for Black Box Variational Inference Using The James-Stein Estimator | May 9, 2024 | Variational Inference | —Unverified | 0 |
| ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems | May 8, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Variational Schrödinger Diffusion Models | May 8, 2024 | Image GenerationVariational Inference | —Unverified | 0 |
| Scalable Amortized GPLVMs for Single Cell Transcriptomics Data | May 6, 2024 | ClusteringDimensionality Reduction | —Unverified | 0 |
| Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities | May 3, 2024 | Variational Inference | —Unverified | 0 |
| Accelerating Convergence in Bayesian Few-Shot Classification | May 2, 2024 | ClassificationFew-Shot Learning | CodeCode Available | 0 |
| S^2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic | May 2, 2024 | MuJoCoVariational Inference | CodeCode Available | 1 |
| Implicit Generative Prior for Bayesian Neural Networks | Apr 27, 2024 | Classification ConsistencyComputational Efficiency | CodeCode Available | 0 |
| Cauchy-Schwarz Divergence Information Bottleneck for Regression | Apr 27, 2024 | Adversarial RobustnessInformation Plane | CodeCode Available | 1 |
| 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 |
| Variational Bayesian Last Layers | Apr 17, 2024 | Out-of-Distribution DetectionVariational Inference | CodeCode Available | 2 |
| 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 |
| Variational Stochastic Gradient Descent for Deep Neural Networks | Apr 9, 2024 | image-classificationImage Classification | CodeCode Available | 1 |
| 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 |
