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MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty

Authors: Rémi Marsal; Florian Chabot; Angélique Loesch; William Grolleau; Hichem Sahbi Description: Self-supervised ....

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MonoProb Self MonoProb Self Supervised Monocular

Accuracy, Uncertainty, Inspectability: The Benefit of Composition-restricted Attention-based Network

Talk entitled "Accuracy, .

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Accuracy Uncertainty Accuracy Uncertainty Inspectability The

Improved Uncertainty Estimation of Graph Neural Network Potentials Using Engineered Latent Space ...

This is an AI-generated podcast on the paper described below. Musielewicz, Joseph; Lan, Janice; Uyttendaele, Matt; Kitchin, John ....

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Improved Uncertainty Improved Uncertainty Estimation of

Training Uncertainty-Aware Classifiers with Conformalized Deep Learning

No description available.

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Training Uncertainty Training Uncertainty Aware Classifiers

Interpretable Data-Driven Probabilistic Load Margin with Uncertain Renewable Energy and Loads

IEEE ISGT-Asia Virtual Presenter Paper ID 24 Authors: Bendong Tan, Junbo Zhao, Weijia Liu and Nan Duan..

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Interpretable Data Interpretable Data Driven Probabilistic

Uncertainty quantification for ground-truth free evaluation of deep learning reconstructions

ISMRM-ESMRMB 2022 presentation - May 2022 Full abstract is available here: ....

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Uncertainty quantification Uncertainty quantification for ground

An Interpretable and Sample Efficient Deep Kernel for Gaussian Process

"An .

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An Interpretable An Interpretable and Sample

Understanding Uncertainty Maps in Vision with Statistical Testing 5mins

CVPR 2022..

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Understanding Uncertainty Understanding Uncertainty Maps in

Abhilash Chenreddy - Data driven conditional uncertainty sets

Abhilash Chenreddy (PhD, HEC Montréal) Supervision: Erick Delage Robust optimization (RO) has become a leading ....

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Abhilash Chenreddy Abhilash Chenreddy Data driven

Uncertain Text Classification for Proliferation Detection

... high-stakes decisions, there has been growing interest in ensuring that we can perform well-calibrated, .

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Uncertain Text Uncertain Text Classification for

Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles

"Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles Tárik Saleh Salem (NTNU)*; Helge Langseth ....

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Prediction Intervals Prediction Intervals Split Normal

Interpretable survival models for predictive maintenance

Predictive maintenance is a powerful tool to prevent unplanned failures and ensure operational plans and budgets are met..

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Interpretable survival Interpretable survival models for

f-Cal - Aleatoric uncertainty quantification for robot perception via calibrated neural regression

In this work, We propose f-Cal, a variational calibration method to obtain trustworthy estimates of aleatoric .

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f Cal f Cal Aleatoric uncertainty

NeurIPS 2021: Reliable Post hoc Explanations: Modeling Uncertainty in Explainability

Reliable Post hoc Explanations: Modeling .

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NeurIPS 2021 NeurIPS 2021 Reliable Post

Modeling Uncertainty by Learning A Hierarchy of Deep Neural Connections (NeurIPS 2019)

Raanan Yehezkel Rohekar, Research Scientist, Intel AI Week Yuval Ne'eman Workshop for Science, Technology and Security Tel ....

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Modeling Uncertainty Modeling Uncertainty by Learning

⚖️ Conformal vs. Bayesian Prediction for Tech Startups

In this episode, we dive into two powerful machine learning techniques for .

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Conformal vs. Conformal vs. Bayesian Prediction

[IJCAI 2021] Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations

Feature attribution is widely used in .

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IJCAI 2021 IJCAI 2021 Show or

NBDT: What Explainable AI Fails to Explain

Full technical talk for Neural-Backed Decision Trees (NBDT, ICLR 2021). - Learn more about my research at https://r.aaalv.in ....

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NBDT What NBDT What Explainable AI

Quantifying Uncertainty in AI: Epistemic, Aleatory, and Ambiguity Explained with Real Applications

Uncertainty.

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Quantifying Uncertainty Quantifying Uncertainty in AI

Interpretable and Accurate Fine-grained Recognition via Region Grouping

Authors: Zixuan Huang, Yin Li Description: We present an .

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Interpretable and Interpretable and Accurate Fine

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