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Uncertainty Quantification

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Showing 2026–2050 of 2366 papers

TitleStatusHype
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural NetworksCode0
Identifying Drivers of Predictive Aleatoric UncertaintyCode0
Benchmarking Probabilistic Deep Learning Methods for License Plate RecognitionCode0
Conformal Prediction for Multimodal RegressionCode0
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human SupervisorsCode0
PH-Dropout: Practical Epistemic Uncertainty Quantification for View SynthesisCode0
Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for ScienceCode0
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in GraphsCode0
Semantic uncertainty intervals for disentangled latent spacesCode0
Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis, and prediction in the life sciencesCode0
SEMF: Supervised Expectation-Maximization Framework for Predicting IntervalsCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 modelCode0
Human-in-the-loop: Towards Label Embeddings for Measuring Classification DifficultyCode0
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled DataCode0
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?Code0
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantificationCode0
Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian ModelsCode0
Improved uncertainty quantification for neural networks with Bayesian last layerCode0
Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution BundlesCode0
Improved User Identification through Calibrated Monte-Carlo DropoutCode0
Improvements on Uncertainty Quantification for Node Classification via Distance-Based RegularizationCode0
Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty QuantificationCode0
Efficient Variational Inference for Sparse Deep Learning with Theoretical GuaranteeCode0
On Calibration of Mixup Training for Deep Neural NetworksCode0
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