epistemic uncertainty
PulseAugur coverage of epistemic uncertainty — every cluster mentioning epistemic uncertainty across labs, papers, and developer communities, ranked by signal.
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New method integrates aleatoric and epistemic uncertainty in deep learning
Researchers have developed a new method for uncertainty quantification (UQ) in deep learning models, particularly for high-dimensional output spaces. This approach jointly models aleatoric uncertainty, which accounts fo…
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AI Uncertainty Quantification: Taxonomy, Validation, and Trustworthiness
A new paper on arXiv, "Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation," by Ramon Winterhalder and others, provides a structured overview of uncertainty quantification in machine learning for phy…
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New UQ Framework Derives Uncertainty Measures from Subjective Risk Decomposition
Researchers have introduced a new perspective on uncertainty quantification (UQ) by proposing that uncertainty measures are not fundamental but rather derived from higher-level modeling decisions. This framework shows h…
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New research advances conformal prediction for uncertainty quantification · 5 sources tracked
Researchers have developed new methods for conformal prediction, a framework used to quantify uncertainty in machine learning models. One paper proposes probabilistic Bernoulli prediction sets (BPS) that can express bot…
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Research paper analyzes epistemic uncertainty in overparametrized neural networks
A new research paper explores epistemic uncertainty in overparametrized neural networks, challenging the traditional view that this uncertainty diminishes with more data. The study highlights that non-identifiable model…