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Found 8 papers, 3 papers with code
Research Note on Uncertain Probabilities and Abstract Argumentation
The sixth assessment of the international panel on climate change (IPCC) states that "cumulative net CO2 emissions over the last decade (2010-2019) are about the same size as the 11 remaining carbon budget likely to limit warming to 1. 5C (medium confidence)."
Uncertainty-aware Personal Assistant for Making Personalized Privacy Decisions
By factoring in the user's own understanding of privacy, such as risk factors or own labels, the personal assistant can personalize its recommendations per user.
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits
When collaborating with an AI system, we need to assess when to trust its recommendations.
Process Discovery for Structured Program Synthesis
A core task in process mining is process discovery which aims to learn an accurate process model from event log data.
Uncertainty-Aware Deep Classifiers using Generative Models
Some recent approaches quantify classification uncertainty directly by training the model to output high uncertainty for the data samples close to class boundaries or from the outside of the training distribution.
Uncertainty Aware AI ML: Why and How
This paper argues the need for research to realize uncertainty-aware artificial intelligence and machine learning (AI\&ML) systems for decision support by describing a number of motivating scenarios.
Probabilistic Logic Programming with Beta-Distributed Random Variables
We enable aProbLog---a probabilistic logical programming approach---to reason in presence of uncertain probabilities represented as Beta-distributed random variables.
Evidential Deep Learning to Quantify Classification Uncertainty
Deterministic neural nets have been shown to learn effective predictors on a wide range of machine learning problems.
