Sebastian Nowozin

Sebastian Nowozin, a researcher at Microsoft Research Cambridge, delves into the fascinating world of probabilistic deep learning and its ties to computer vision. He discusses the significance of structured data and innovative loss functions in image analysis. Listeners will learn about the evolution from traditional methods in object recognition to advanced, machine learning-driven techniques. The conversation also covers the challenges and insights in Bayesian deep learning, highlighting the importance of stability in models and sound programming practices in the field.