| Federated Conformal Predictors for Distributed Uncertainty Quantification | May 27, 2023 | Conformal PredictionFederated Learning | CodeCode Available | 1 |
| FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation | May 31, 2022 | Deep LearningMulti-Task Learning | CodeCode Available | 1 |
| From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction | Apr 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control | Feb 4, 2025 | Conformal PredictionUncertainty Quantification | CodeCode Available | 1 |
| Deep learning observables in computational fluid dynamics | Mar 7, 2019 | Deep LearningEfficient Neural Network | CodeCode Available | 1 |
| Distribution-free binary classification: prediction sets, confidence intervals and calibration | Jun 18, 2020 | Binary ClassificationClassification | CodeCode Available | 1 |
| Generating Evidential BEV Maps in Continuous Driving Space | Feb 6, 2023 | Autonomous Drivingobject-detection | CodeCode Available | 1 |
| Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models | May 30, 2023 | ManagementQuestion Answering | CodeCode Available | 1 |
| Gradient-free variational learning with conditional mixture networks | Aug 29, 2024 | Computational EfficiencyMixture-of-Experts | CodeCode Available | 1 |
| Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification | Oct 26, 2021 | ClassificationNode Classification | CodeCode Available | 1 |
| A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification | Jul 15, 2021 | Conformal PredictionDeep Reinforcement Learning | CodeCode Available | 1 |
| Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging | Feb 10, 2022 | Conformal PredictionImage-to-Image Regression | CodeCode Available | 1 |
| Improving Adaptive Conformal Prediction Using Self-Supervised Learning | Feb 23, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs | May 13, 2025 | HallucinationUncertainty Quantification | CodeCode Available | 1 |
| Evidential Uncertainty Quantification: A Variance-Based Perspective | Nov 19, 2023 | Active LearningClassification | CodeCode Available | 1 |
| Inferring networks from time series: a neural approach | Mar 30, 2023 | parameter estimationregression | CodeCode Available | 1 |
| Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction | Nov 16, 2022 | Autonomous DrivingAutonomous Vehicles | CodeCode Available | 1 |
| Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity | Feb 9, 2024 | Conformal PredictionHallucination | CodeCode Available | 1 |
| AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting | Feb 14, 2025 | Multivariate Time Series ForecastingRepresentation Learning | CodeCode Available | 1 |
| LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting | Jun 10, 2025 | Uncertainty QuantificationWeather Forecasting | CodeCode Available | 1 |
| Laplace Redux -- Effortless Bayesian Deep Learning | Jun 28, 2021 | Deep LearningMisconceptions | CodeCode Available | 1 |
| Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification | Apr 25, 2023 | Image GenerationUncertainty Quantification | CodeCode Available | 1 |
| Learning by example: fast reliability-aware seismic imaging with normalizing flows | Apr 13, 2021 | Bayesian InferenceSeismic Imaging | CodeCode Available | 1 |
| Learning Normal Flow Directly From Event Neighborhoods | Dec 15, 2024 | Data AugmentationOptical Flow Estimation | CodeCode Available | 1 |
| LiBRe: A Practical Bayesian Approach to Adversarial Detection | Mar 27, 2021 | Adversarial DefenseUncertainty Quantification | CodeCode Available | 1 |
| Linked Deep Gaussian Process Emulation for Model Networks | Jun 2, 2023 | modelUncertainty Quantification | CodeCode Available | 1 |
| Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification | Jul 20, 2020 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 1 |
| Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations | Dec 2, 2023 | Active LearningGaussian Processes | CodeCode Available | 1 |
| CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought | Feb 24, 2025 | Mathematical ReasoningMisinformation | CodeCode Available | 1 |
| JaxSGMC: Modular stochastic gradient MCMC in JAX | May 16, 2025 | Deep LearningStochastic Optimization | CodeCode Available | 1 |
| coverforest: Conformal Predictions with Random Forest in Python | Jan 24, 2025 | Conformal PredictionPrediction | CodeCode Available | 1 |
| TabLeak: Tabular Data Leakage in Federated Learning | Oct 4, 2022 | Federated LearningReconstruction Attack | CodeCode Available | 1 |
| Conformal Prediction with Missing Values | Jun 5, 2023 | Conformal PredictionData Augmentation | CodeCode Available | 1 |
| Conformal prediction for multi-dimensional time series by ellipsoidal sets | Mar 6, 2024 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects | Feb 7, 2024 | Decision MakingMarketing | CodeCode Available | 1 |
| A Bayesian Approach to Online Planning | Jun 4, 2024 | Thompson SamplingUncertainty Quantification | CodeCode Available | 1 |
| Conformal PID Control for Time Series Prediction | Jul 31, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Copula Conformal Prediction for Multi-step Time Series Forecasting | Dec 6, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling | Nov 15, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies | Mar 11, 2025 | Conformal PredictionImitation Learning | CodeCode Available | 1 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference | Feb 8, 2024 | Domain AdaptationUncertainty Quantification | CodeCode Available | 1 |
| Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | Mar 18, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 1 |
| Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees | Jan 15, 2024 | Conformal PredictionGaussian Processes | CodeCode Available | 1 |
| Conformal Inference of Counterfactuals and Individual Treatment Effects | Jun 11, 2020 | Decision MakingUncertainty Quantification | CodeCode Available | 1 |
| Adaptive Conformal Predictions for Time Series | Feb 15, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Conformal Prediction with Large Language Models for Multi-Choice Question Answering | May 28, 2023 | Conformal PredictionMultiple-choice | CodeCode Available | 1 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |