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Talks

In this section, we have the public talks, seminars, workshops, and interviews delivered by MLDawn.

An Interview with Prof. Karl Friston

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Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM). These contributions were motivated by schizophrenia research and theoretical studies of value-learning, formulated as the dysconnection hypothesis of schizophrenia. Mathematical contributions include variational Laplacian procedures and generalized filtering for hierarchical …

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An interview with Prof. Mikhail Belkin

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We never Had Truly Understood the Bias-Variance Trade-off!!! In this interview with Prof. Mikhail Belkin, we will discuss his amazing paper: “Reconciling modern machine learning practice and the bias-variance trade-off” which introduces the other half of the bias-variance trade-off that we have been missing all these years. Behold the Double-Descent behavior! In this exciting interview …

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An interview with Prof. Tom Mitchell

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“There are a lot more papers written than there are widely read!”  (Tom Mitchell) Prof. Tom Mitchell is one of the giants of machine learning and artificial intelligence, who started the world’s first machine learning department at Carnegie Mellon University (CMU). Prof. Mitchell has kindly agreed to an interview with us at MLDawn, presented below …

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ECML-PKDD-2019: Elliptical Basis Function Data Descriptor (EBFDD) for Anomaly Detection

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ECML-PKDD-2019 on EBFDD networks for Anomaly Detection This paper introduces the Elliptical Basis Function Data Descriptor (EBFDD) network, a one-class classification approach to anomaly detection based on Radial Basis Function (RBF) neural networks. The EBFDD network uses elliptical basis functions, which allows it to learn sophisticated decision boundaries while retaining the advantages of a shallow …

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