Siddarth Asokan
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Thesis Chapter 1.4: An Introduction to Variational Calculus

An introduction to the Calculus of Variations and the Euler-Lagrange framework

11 min read   ·   2023

Thesis Chapter 1.3: Flow-based Models and Diffusion

An introduction to normalizing flows and score-based diffusion models

9 min read   ·   2023

Thesis Chapter 1.2: Introduction to Generative Adversarial Networks

An introduction to GANs and Wasserstein Autoencoders, covering the foundational concepts and variants

18 min read   ·   2023

Thesis Chapter 1.1: Introduction to Generative Modeling

An introduction to generative modeling, covering autoencoders, VAEs, GANs, flows, and diffusion models

8 min read   ·   2023


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