Am I confused or is this confusing?: Deep ensembles for ENSO uncertainty quantification
Machine Learning. EarthFaithful uncertainty quantification (UQ) is paramount in high stakes climate prediction. Deep ensembles, or ensembles of probabilistic neural networks, are state of the art for UQ in machine learning (ML) and are growing increasingly popular for weather ...
Devin M McAfee, Elizabeth A Barnes
doaj +1 more source
How to Stay Curious while Avoiding Noisy TVs using Aleatoric Uncertainty Estimation [PDF]
Exploration in environments with sparse rewards is difficult for artificial agents. Curiosity driven learning -- using feed-forward prediction errors as intrinsic rewards -- has achieved some success in these scenarios, but fails when faced with action ...
Young, Kimberly A. +3 more
core +1 more source
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules [PDF]
Uncertainty representation and quantification are paramount in machine learning and constitute an important prerequisite for safety-critical applications.
Hüllermeier, Eyke +2 more
core +1 more source
Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models
Datasets collected from the open world unavoidably suffer from various forms of randomness or noiseness, leading to the ubiquity of aleatoric (data) uncertainty.
Deng, Zhijie +5 more
core +1 more source
DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods
Assessing the quality of aleatoric uncertainty estimates from uncertainty quantification (UQ) deep learning methods is important in scientific contexts, where uncertainty is physically meaningful and important to characterize and interpret exactly.
Ćiprijanović, Aleksandra +2 more
core
Leveraging uncertainty estimates for drug response prediction in cancer cell lines. [PDF]
Bioinform AdvIversen P, Renard BY, Baum K.
europepmc +1 more source
Efficient Uncertainty Quantification in Medical Imaging via Mamba State Space Models. [PDF]
TomographyGüneş A.
europepmc +1 more source
Information-Entropy-Guided Counterfactual Stability Modeling and Replay-Based Selective Override for Context-Fragile Branch Prediction. [PDF]
Entropy (Basel)Cheng Y, Yin C, Tan Y, Yang X.
europepmc +1 more source
Bayesian selective scan for robust long-horizon action recognition via reliability-aware discretization. [PDF]
Front Robot AIWang C.
europepmc +1 more source
Assessing the Credibility of Quantitative Information: A General Framework. [PDF]
Ann Biomed EngViceconti M.
europepmc +1 more source