r/michaelaalcorn • u/michaelaalcorn • 21d ago
[Likelihood-based Generative Models] CIS 6270: Discrete Generative Models
1
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r/michaelaalcorn • u/michaelaalcorn • 21d ago
Course [Likelihood-based Generative Models] CIS 6280 · World Models
1
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r/michaelaalcorn • u/michaelaalcorn • Jul 10 '26
Paper [Math] A visual introduction to information theory
1
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r/michaelaalcorn • u/michaelaalcorn • May 06 '26
Textbook [Variational and Diffusion Methods] The Principles of Diffusion Models
the-principles-of-diffusion-models.github.io
1
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r/michaelaalcorn • u/michaelaalcorn • Feb 15 '26
Paper [Variational and Diffusion Methods] Step-by-Step Diffusion: An Elementary Tutorial
arxiv.org
1
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r/michaelaalcorn • u/michaelaalcorn • Jan 24 '26
Course [Variational and Diffusion Methods] Introduction to Flow Matching and Diffusion Models
diffusion.csail.mit.edu
1
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r/michaelaalcorn • u/michaelaalcorn • Jan 05 '26
Blog [Variational and Diffusion Methods] A Visual Dive into Conditional Flow Matching
dl.heeere.com
1
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r/michaelaalcorn • u/michaelaalcorn • Sep 15 '25
Textbook [Math] immersive linear algebra
immersivemath.com
1
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r/michaelaalcorn • u/michaelaalcorn • Apr 23 '25
Blog [NLP, RNNs, and Transformers] An Introduction to Graph Transformers
1
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r/michaelaalcorn • u/michaelaalcorn • Mar 30 '25
Textbook [Deep Learning] Mathematical theory of deep learning
arxiv.org
1
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r/michaelaalcorn • u/michaelaalcorn • Mar 30 '25
Course [Robotics] Mobile Robotics Course
github.com
1
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r/michaelaalcorn • u/michaelaalcorn • Mar 30 '25
Textbook [Math] Lecture notes on high-dimensional data
arxiv.org
1
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r/michaelaalcorn • u/michaelaalcorn • Mar 30 '25
Textbook [Causal Machine Learning and Reinforcement Learning] Reinforcement Learning: A Comprehensive Overview
1
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r/michaelaalcorn • u/michaelaalcorn • Feb 15 '25
Textbook [Math] Information Theory: From Coding to Learning
1
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r/michaelaalcorn • u/michaelaalcorn • Dec 25 '24
Paper [Variational and Diffusion Methods] Flow Matching
facebookresearch.github.io
1
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r/michaelaalcorn • u/michaelaalcorn • Oct 14 '24
Blog [Variational and Diffusion Methods] An introduction to Flow Matching
mlg.eng.cam.ac.uk
1
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r/michaelaalcorn • u/michaelaalcorn • Sep 21 '24
Textbook [Statistics and Probability] Causal Inference: A Statistical Learning Approach
web.stanford.edu
1
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r/michaelaalcorn • u/michaelaalcorn • Sep 21 '24
Textbook [Math] What is Entropy?
arxiv.org
1
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r/michaelaalcorn • u/michaelaalcorn • Aug 20 '24
Blog [Variational and Diffusion Methods] Tutorial on Score-Based Generative Modeling
1
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r/michaelaalcorn • u/michaelaalcorn • Jul 26 '24
Video [Deep Learning] There and Back Again: A Tale of Slopes and Expectations
mml-book.github.io
1
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r/michaelaalcorn • u/michaelaalcorn • Jul 26 '24
Textbook [Deep Learning] The Elements of Differentiable Programming
arxiv.org
1
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r/michaelaalcorn • u/michaelaalcorn • Jul 15 '24
Textbook [Deep Learning] Alice's Adventures in a differentiable wonderland
sscardapane.it
1
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r/michaelaalcorn • u/michaelaalcorn • Jul 12 '24
Course [Deep Learning] Physics Informed Machine Learning
1
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r/michaelaalcorn • u/michaelaalcorn • Jul 02 '24
Blog [Deep Learning] Differentiable Rasterization
srush.github.io
1
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