Explores learning from interconnected data with graphs, covering modern ML research goals, pioneering methods, interdisciplinary applications, and democratization of graph ML.
Covers the basics of polymer biophysics, including DNA conformation modeling and the Boltzmann principle, emphasizing the exponential decay of correlations between segments.
Explores gene regulation through transcription mechanisms and chromatin accessibility, emphasizing the importance of transcription factors and gene regulatory networks.
Explores gene regulation mechanisms, including chromatin accessibility, DNA looping, and transcription factors' role in controlling cellular functions.
Explores perception in deep learning for autonomous vehicles, covering image classification, optimization methods, and the role of representation in machine learning.
