George Papamakarios Interview – Masked Autoregressive Flow for Density Estimation

In this episode, University of Edinburgh Phd student George Papamakarios and I discuss his paper “Masked Autoregressive Flow for Density Estimation.” George walks us through the idea of Masked Autoregressive Flow, which uses neural networks to produce estimates of probability densities from a set of…

Lyne Tchapmi Interview – Semantic Segmentation of 3D Point Clouds

In this episode I’m joined by Lyne Tchapmi, PhD student in the Stanford Computational Vision and Geometry Lab, to discuss her paper, “SEGCloud: Semantic Segmentation of 3D Point Clouds.” SEGCloud is an end-to-end framework that performs 3D point-level segmentation combining the advantages of neural networks,…

Ksenia Konyushkova Interview – Learning Active Learning from Data

In this episode, I speak with Ksenia Konyushkova, Ph.D. student in the CVLab at Ecole Polytechnique Federale de Lausanne in Switzerland. Ksenia and I connected at NIPS in December to discuss her interesting research into ways we might apply machine learning to ease the challenge…

Charles Onu Interview – Classical Machine Learning for Infant Medical Diagnosis

In this episode, part 4 in our Black in AI series, i’m joined by Charles Onu, Phd Student at McGill University in Montreal & Founder of Ubenwa, a startup tackling the problem of infant mortality due to asphyxia. Using SVMs and other techniques from the…

The Evolution of The Human Brain – Daniel Dennett – YouTube

Daniel Dennett has never been one to swallow accepted wisdom undigested. As a student he happily sought to undermine the work of his supervisor, Willard Quine. Only one of the most respected figures in 20th century philosophy, a thinker eminent enough to appear on US…