The book with a nice explanation of suffix array and BWT is
Bioinformatics Algorithms: An Active Learning Approach by Phillip Compeau & Pavel Pevzner. https://www.bioinformaticsalgorithms.org/
Posts Tagged ‘tutorial’
Suffix Array and BWT Explaination
May 18, 2025Huntington disease: new insights into molecular pathogenesis and therapeutic opportunities | Nature Reviews Neurology
May 17, 2025https://www.nature.com/articles/s41582-020-0389-4
Tabrizi, S. J., Flower, M. D., Ross, C. A., & Wild, E. J. (2020). Huntington disease: new insights into molecular pathogenesis and therapeutic opportunities. Nature Reviews Neurology, 16(10), 529–546. https://doi.org/10.1038/s41582-020-0389-4
lecture note on mixed state and density matrix
May 11, 2025https://www.henryyuen.net/classes/spring2022/
https://www.henryyuen.net/spring2022/lec2-mixed-states.pdf
lecture notes on mixed states and density matrix.
QT:{{”
Frontiers of Quantum Complexity and Cryptography Lecture 2 – Mixed States and Density Matrices
Lecturer: Henry Yuen Spring 2022
Scribes: Melody Hsu
In the third lecture, we wrapped up a review of the foundational concepts we will need to tackle
later topics, and then started our first quantum complexity topic, state tomography. We briefly
discussed several ways to analyze probabilistic mixtures of quantum states; after the conclusion of
the review, we explored lower bounds on complexity of a classic tomography protocol.
“}}
gen ai book
April 20, 2025Generative Deep Learning: teaching machines to paint, write, compose, and play: Foster, David: 9781492041948: Amazon.com: Books. (n.d.). https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947
World Model page 331
Variational Autoencoders page 59
1906.02691 An Introduction to Variational Autoencoders
March 2, 2025Has detailed setup for ELBO
https://arxiv.org/abs/1906.02691
Kingma, D. P., & Welling, M. (2019). An introduction to variational autoencoders. Foundations and Trends® in Machine Learning, 12(4), 307–392. https://doi.org/10.1561/2200000056
Unsupervised Feature Learning and Deep Learning Tutorial
March 2, 20251803.00567 Computational Optimal Transport
March 1, 2025https://arxiv.org/abs/1803.00567
explains the dual problem well
Peyré, G., & Cuturi, M. (2018, March 1). Computational Optimal transport. arXiv.org. https://arxiv.org/abs/1803.00567
tutorial_on_optimal_transport.pdf
2312.07511 A Hitchhiker’s Guide to Geometric GNNs for 3D Atomic Systems
March 1, 2025https://arxiv.org/abs/2312.07511
Duval, A., Mathis, S., V., Joshi, C. K., Schmidt, V., Miret, S., Malliaros, F. D., Cohen, T., Liò, P., Bengio, Y., & Bronstein, M. (2023, December 12). A Hitchhiker’s guide to Geometric GNNs for 3D atomic Systems. arXiv.org. https://arxiv.org/abs/2312.07511
Good intuition on spherical harmonics
Diffusion Tutorial
March 1, 2025Some tutorials on diffusion models:
[An Arxiv Tutorial]
https://arxiv.org/pdf/2403.18103
https://arxiv.org/abs/2403.18103
Chan, S. H. (2024, March 26). Tutorial on diffusion models for imaging and vision. arXiv.org. https://arxiv.org/abs/2403.18103
has master equation, forward & back SDE, relationship of SDE to p(x)
[Also, Some Useful Blogs]
https://baincapitalventures.notion.site/Diffusion-Without-Tears-14e1469584c180deb0a9ed9aa6ff7a4c https://yang-song.net/blog/2021/score/
https://lilianweng.github.io/posts/2021-07-11-diffusion-models/
tutorial on transformer
March 1, 2025https://www.datacamp.com/tutorial/how-transformers-work
How Transformers Work: A Detailed Exploration of Transformer Architecture
Explore the architecture of Transformers, the models that have revolutionized data handling through self-attention mechanisms.
Jan 9, 2024 · 15 min read
linkstream2 microblog 