
 Math & Physics Podcast Episode #119 - Diffuse Your Mind w/ Alexandre Adam
 Apr 5, 2024 
 In this engaging conversation, Alexandre Adam, a PhD student in physics at the University of Montreal, dives into his compelling research on diffusion models. He sheds light on the challenges of navigating high-dimensional spaces in machine learning and optimizing neural networks using automatic differentiation. The dialogue explores data augmentation techniques for image analysis and examines how diffusion models aid in understanding galaxy images and their gravitational interactions. Alex's insights bridge complex mathematical concepts with real-world applications in astrophysics. 
 Chapters 
 Transcript 
 Episode notes 
 1  2  3  4  5  6  7  8  9  10 
 Intro 
 00:00 • 3min 
 Navigating High-Dimensional Spaces in Machine Learning 
 02:41 • 17min 
 Optimizing Neural Networks with Automatic Differentiation 
 19:51 • 6min 
 Navigating Optimization in High Dimensions 
 25:59 • 6min 
 Understanding Convolutional Neural Networks 
 31:40 • 6min 
 Enhancing Neural Networks Through Data Augmentation 
 38:07 • 7min 
 Bridging the Gap Between Simulation and Reality in Astronomy 
 44:40 • 2min 
 Navigating Statistical Diffusion and Normalizing Flows 
 46:20 • 23min 
 Exploring Neural Networks and Data Distribution 
 01:09:21 • 18min 
 Navigating Galaxy Light and Gravity 
 01:27:14 • 20min 
