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| Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation | Apr 14, 2024 | Variational Inference | —Unverified | 0 |
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| 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 |
