| Last layer state space model for representation learning and uncertainty quantification | Jul 4, 2023 | Representation LearningUncertainty Quantification | —Unverified | 0 |
| Latent Diffusion Model for Generating Ensembles of Climate Simulations | Jul 2, 2024 | DenoisingDimensionality Reduction | —Unverified | 0 |
| Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification | Mar 21, 2019 | ClusteringDimensionality Reduction | —Unverified | 0 |
| Latent-space Field Tension for Astrophysical Component Detection An application to X-ray imaging | Jun 25, 2025 | Uncertainty Quantification | —Unverified | 0 |
| LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements | Nov 26, 2024 | Hybrid Machine LearningUncertainty Quantification | —Unverified | 0 |
| Learnable Bernoulli Dropout for Bayesian Deep Learning | Feb 12, 2020 | Collaborative FilteringDeep Learning | —Unverified | 0 |
| Learned imaging with constraints and uncertainty quantification | Sep 13, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy | Oct 24, 2023 | DenoisingHallucination | —Unverified | 0 |
| Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks | Sep 6, 2023 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees | Dec 4, 2023 | Conformal PredictionUncertainty Quantification | —Unverified | 0 |
