| Understanding Posterior Collapse in Generative Latent Variable Models | Mar 27, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Understanding Stochastic Natural Gradient Variational Inference | Jun 4, 2024 | Variational Inference | —Unverified | 0 | 0 |
| Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control | Mar 14, 2025 | Contrastive LearningMulti-agent Reinforcement Learning | —Unverified | 0 | 0 |
| Unifying and extending Diffusion Models through PDEs for solving Inverse Problems | Apr 10, 2025 | DenoisingDensity Estimation | —Unverified | 0 | 0 |
| Unitary Approximate Message Passing for Sparse Bayesian Learning | Jan 25, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Unitary Approximate Message Passing for Matrix Factorization | Jul 31, 2022 | Compressive SensingDictionary Learning | —Unverified | 0 | 0 |
| UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data | Oct 22, 2020 | ClusteringPrediction | —Unverified | 0 | 0 |
| Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model | Jun 30, 2016 | Variational Inference | —Unverified | 0 | 0 |
| Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders | May 21, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder | Feb 18, 2022 | Multi-Object TrackingMultiple Object Tracking | —Unverified | 0 | 0 |
