| Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation | Dec 10, 2024 | Text GenerationUncertainty Quantification | —Unverified | 0 |
| 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 |
| Learning Hidden Physics and System Parameters with Deep Operator Networks | Dec 6, 2024 | BenchmarkingUncertainty Quantification | —Unverified | 0 |
| Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting | Feb 22, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Learning Multivariate CDFs and Copulas using Tensor Factorization | Oct 13, 2022 | ImputationUncertainty Quantification | —Unverified | 0 |
| Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks | Jun 21, 2025 | Ensemble LearningUncertainty Quantification | —Unverified | 0 |
| Learning Prediction Intervals for Regression: Generalization and Calibration | Feb 26, 2021 | Learning TheoryPrediction | —Unverified | 0 |
| Learning signals defined on graphs with optimal transport and Gaussian process regression | Oct 21, 2024 | Active LearningDimensionality Reduction | —Unverified | 0 |
| Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks | Apr 4, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification | May 15, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation | Jul 31, 2020 | Depth EstimationSemantic Segmentation | —Unverified | 0 |
| Learning to Estimate Epistemic Uncertainty in Neural Networks | Sep 29, 2021 | regressionUncertainty Quantification | —Unverified | 0 |
| Legitimate ground-truth-free metrics for deep uncertainty classification scoring | Oct 30, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design | Apr 30, 2024 | Bayesian InferenceDiversity | —Unverified | 0 |
| Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models | May 20, 2019 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System | Sep 30, 2022 | Decision MakingTransfer Learning | —Unverified | 0 |
| Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading | Jun 15, 2022 | Deep LearningPrediction | —Unverified | 0 |
| UPNet: Uncertainty-based Picking Deep Learning Network for Robust First Break Picking | May 23, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation | Mar 7, 2025 | AnatomyDiagnostic | —Unverified | 0 |
| Lifelong Machine Learning Potentials | Mar 10, 2023 | Continual LearningIncremental Learning | —Unverified | 0 |
| Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning | Oct 4, 2024 | BenchmarkingUncertainty Quantification | —Unverified | 0 |
| Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability | Jul 18, 2024 | Image SegmentationMaximum Separation | —Unverified | 0 |
| Linearization Turns Neural Operators into Function-Valued Gaussian Processes | Jun 7, 2024 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Linear-Time Probabilistic Solution of Boundary Value Problems | Dec 1, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Linear-Time Probabilistic Solutions of Boundary Value Problems | Jun 14, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models | Jan 31, 2024 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
| LLM Confidence Evaluation Measures in Zero-Shot CSS Classification | Oct 16, 2024 | Uncertainty Quantification | —Unverified | 0 |