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KAUST Introduction on Machine Learning Bootcamp
As part of KAUST’s mission to disseminate skills a
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Rising Stars in AI Symposium 2022 at KAUST
The "Rising Stars in AI Symposium" is geared towards yo
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Abstract
The overarching goal of Prof.
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Abstract
Most existing learning algorithms can be categorized into supervised, semi-supervised, an
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Abstract
In this talk, I will talk about recent topics in generative modeling.
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Abstract
In essence, science is about discovering regularities in Nature.
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Abstract
An ontology is an explicit specification of a conceptualization of a domain.
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Abstract
RNAs need to form specific secondary structures for their functions.
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Protein-protein interactions drive many important biological events such as infection, re
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Quantitative structure-property relationships (QSPRs) using machine learning tools to rel
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In this talk, I will introduce our recent progress on how deep learning models inspired u
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In safety-critical application domains, it is crucial to assess the attackability of the
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We propose a new optimization formulation for training federated learning models.
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Recent research showed that most of the existing machine learning algorithms are vulnerab