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| Lagrangian Inference for Ranking Problems | Oct 1, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Language Models with Conformal Factuality Guarantees | Feb 15, 2024 | Conformal PredictionLanguage Modeling | —Unverified | 0 |
| LAPD: Langevin-Assisted Bayesian Active Learning for Physical Discovery | Mar 4, 2025 | Active LearningUncertainty Quantification | —Unverified | 0 |
| Laplace Redux - Effortless Bayesian Deep Learning | May 21, 2021 | Deep LearningMisconceptions | —Unverified | 0 |
| Large-Scale Bayesian Tensor Reconstruction: An Approximate Message Passing Solution | May 22, 2025 | Uncertainty Quantification | —Unverified | 0 |
| Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression | Oct 25, 2023 | regressionsubspace methods | —Unverified | 0 |
| Large Scale Probabilistic Simulation of Renewables Production | May 10, 2022 | ClusteringUncertainty Quantification | —Unverified | 0 |
| Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs | May 2, 2020 | ManagementUncertainty Quantification | —Unverified | 0 |
| Last Layer Empirical Bayes | May 21, 2025 | Uncertainty Quantification | —Unverified | 0 |
| 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 |
| Learning-based GNSS Uncertainty Quantification using Continuous-Time Factor Graph Optimization | Mar 6, 2025 | State EstimationUncertainty Quantification | —Unverified | 0 |
| Learning-Based Shielding for Safe Autonomy under Unknown Dynamics | Oct 7, 2024 | Deep Reinforcement LearningUncertainty Quantification | —Unverified | 0 |
| Learning Cellular Network Connection Quality with Conformal | Jun 4, 2024 | Conformal PredictionPrediction | —Unverified | 0 |
| Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction | Dec 27, 2023 | GeophysicsImage Reconstruction | —Unverified | 0 |
| Learning Functional Priors and Posteriors from Data and Physics | Jun 8, 2021 | Meta-Learningregression | —Unverified | 0 |