Lectures related to Generative grammar

Explores metrical structure, groove, and rhythmic modeling in music, including time stealing and syncopation.

Deep Generative Models in Drug Discovery

Explores the application of deep generative models in drug discovery, focusing on designing small molecules and optimizing molecular structures.

Musical Beat and Tempo

Delves into musical beat, tempo, expressive timing, and rhythmic structures, exploring cognitive entrainment, metrical grids, and rhythmic transitions.

Introduction to Grammars

Introduces automata, regular languages limitations, context-free grammars, and balanced parentheses grammars.

Document Analysis and Topic Modeling

Covers document analysis, topic modeling, and deep generative models, including autoencoders and GANs.

Deep Generative Models

Covers deep generative models, including LDA, autoencoders, GANs, and DCGANs.

Machine Learning Review

Covers a review of machine learning concepts, including supervised learning, classification vs regression, linear models, kernel functions, support vector machines, dimensionality reduction, deep generative models, and cross-validation.