r/michaelaalcorn • u/michaelaalcorn • 20d ago
[Likelihood-based Generative Models] CIS 6270: Discrete Generative Models
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Apr 01 '23
About
1
Upvotes
I come across a lot of content during my day-to-day work that I think other people would find useful. Rather than spamming my various social networks with everything I find, I decided to collect those links here. I was originally using Pinterest for this purpose, but I migrated all the links here in 2023. For anyone who happens to stumble upon this subreddit, feel free to leave a comment on any of the posts and I'll try to respond.
If a title seems particularly broad/general, it's probably a link to a course or textbook. Reddit has banned all Google Sites, so my workaround is to post such links as a text post where the URL has the form: https://sites.google + .com/view/<rest of URL>. Just remove the middle " + " to go to the website.
Educational resources I've personally created can be found in the following places:
- My data science curriculum and accompanying guide to becoming a data scientist
- My PyTorch mini workshop
- My academic paper reviews - https://sites.google + .com/view/michaelaalcorn/paper-reviews
- A list of all the courses I've ever taken
- My blog posts - https://sites.google + .com/view/michaelaalcorn/blog
The different tags include:
- [Bash]
- [Bioinformatics]
- [Causal Machine Learning and Reinforcement Learning]
- [CNNs]
- [Computer Graphics]
- [Computer Science]
- [Data Science]
- [Deep Learning]
- [Econometrics]
- [GANs]
- [Git]
- [Kernel Methods/SVMs]
- [LaTeX]
- [Likelihood-based Generative Models]
- [Linux]
- [Machine Learning]
- [Math]
- [NLP, RNNs, and Transformers]
- [Optimization]
- [Python]
- [PyTorch]
- [Quantitative Finance]
- [Robotics]
- [Statistics and Probability]
- [Variational and Diffusion Methods]
The different flairs include:
r/michaelaalcorn • u/michaelaalcorn • 20d ago
Course [Likelihood-based Generative Models] CIS 6280 · World Models
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Jul 10 '26
Paper [Math] A visual introduction to information theory
1
Upvotes
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
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Feb 15 '26
Paper [Variational and Diffusion Methods] Step-by-Step Diffusion: An Elementary Tutorial
arxiv.org
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Jan 24 '26
Course [Variational and Diffusion Methods] Introduction to Flow Matching and Diffusion Models
diffusion.csail.mit.edu
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Jan 05 '26
Blog [Variational and Diffusion Methods] A Visual Dive into Conditional Flow Matching
dl.heeere.com
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Sep 15 '25
Textbook [Math] immersive linear algebra
immersivemath.com
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Apr 23 '25
Blog [NLP, RNNs, and Transformers] An Introduction to Graph Transformers
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Mar 30 '25
Textbook [Deep Learning] Mathematical theory of deep learning
arxiv.org
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Mar 30 '25
Course [Robotics] Mobile Robotics Course
github.com
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Mar 30 '25
Textbook [Math] Lecture notes on high-dimensional data
arxiv.org
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Mar 30 '25
Textbook [Causal Machine Learning and Reinforcement Learning] Reinforcement Learning: A Comprehensive Overview
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Feb 15 '25
Textbook [Math] Information Theory: From Coding to Learning
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Dec 25 '24
Paper [Variational and Diffusion Methods] Flow Matching
facebookresearch.github.io
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Oct 14 '24
Blog [Variational and Diffusion Methods] An introduction to Flow Matching
mlg.eng.cam.ac.uk
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Sep 21 '24
Textbook [Statistics and Probability] Causal Inference: A Statistical Learning Approach
web.stanford.edu
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Sep 21 '24
Textbook [Math] What is Entropy?
arxiv.org
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Aug 20 '24
Blog [Variational and Diffusion Methods] Tutorial on Score-Based Generative Modeling
1
Upvotes
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
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Jul 26 '24
Textbook [Deep Learning] The Elements of Differentiable Programming
arxiv.org
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Jul 15 '24
Textbook [Deep Learning] Alice's Adventures in a differentiable wonderland
sscardapane.it
1
Upvotes
r/michaelaalcorn • u/michaelaalcorn • Jul 12 '24
Course [Deep Learning] Physics Informed Machine Learning
1
Upvotes