Breadcrumbs to infinity & beyond

4/17/2022 Sun

• Capsule Network https://www.youtube.com/watch?v=pPN8d0E3900

3/27/2022 Sun

• Adit Radha - Overparameterized NNs Implement Associative Memory https://www.youtube.com/watch?v=BaJ_n0EzFG8

3/22/2022 Tue

• Transcriptome https://www.coursera.org/learn/sheng-wu-xin-xi-xue/lecture/IXPOL/zhuan-lu-zu-jie-shao
• Caroline Uhler, Multi Domain Data Integration From Observations to Mechanistic Insights https://www.youtube.com/watch?v=EyUrToDdMWY
• Yang...Uhler, C., Multidomain translation between single-cell imaging and sequencing data using autoencoders https://www.nature.com/articles/s41467-020-20249-2
• Radhakrishnan...Uhler, C., Overparameterized neural networks implement associative memory https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959487/

2/25/2022 Fri

• S.O.L.I.D https://www.youtube.com/watch?v=pTB30aXS77U
• https://github.com/cosmicpython/book
• The Hitchiker's Guide Python https://docs.python-guide.org/writing/structure/

2/24/2022 Thr

• How to double learning speed https://www.youtube.com/watch?v=Y1e38mkTfRA&t=199s
• Clean Architectures in Python - Leonardo Giordani - PyLondinium19 https://www.youtube.com/watch?v=wtCQalq7L-E

2/23/2022 Wed

• speed reading / how to read a book

2/22/2022 Tue

• Parameter Prediction for Unseen Deep Architectures
• Graph Neural Network

2/21/2022 Mon

• [4 Observability Tools] Brendan Gregg’s Systems Performance Enterprise and the Cloud

2/20/2022 Sun

• [2 Methodology] Brendan Gregg’s Systems Performance Enterprise and the Cloud

2/17/2022 Thr

• [Chapter 1] Brendan Gregg’s Systems Performance Enterprise and the Cloud
• zarr https://zarr.readthedocs.io/en/stable/

2/16/2022 Wed

• Parameter Prediction for Unseen Deep Architectures
• Broader context https://www.quantamagazine.org/researchers-build-ai-that-builds-ai-20220125/
• Original paper https://arxiv.org/abs/2110.13100
• Facebook releasing the source code https://www.infoq.com/news/2021/11/facebook-ghn-meta-model/
• Link to the source code https://github.com/facebookresearch/ppuda

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11/19/2021 Fri

• System Identification https://www.bilibili.com/video/BV1XZ4y1g7MG?from=search&seid=1624444864041389846&spm_id_from=333.337.0.0
• Statistical Inference I Simons Institute https://www.youtube.com/watch?v=9S4KXkyb3WE
• Statistics 200: Introduction to Statistical Inference https://web.stanford.edu/class/archive/stats/stats200/stats200.1172/lectures.html
• Information Theory https://www.coursera.org/learn/information-theory#syllabus
• Bayesian methods in ML https://www.coursera.org/learn/bayesian-methods-in-machine-learning
• Fisher信息 https://www.bilibili.com/video/BV12z411e7Ct

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11/18/2021 Thu

• 矩法估计 https://www.bilibili.com/video/BV1qi4y1T7ob/
• 最大似然估计 https://www.youtube.com/watch?v=EyFenDAiA3Y
• Jalaj Upadhyay
• Machine Learning for Data https://sites.google.com/view/ml4data https://slideslive.com/38962657/chapter-1-sparsity-in-deep-learning-pruning-and-growth-for-efficient-inference-and-training-in-neural-networks?ref=recommended-presentation-38964706
• Fisher信息 https://www.bilibili.com/video/BV12z411e7Ct

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11/17/2021 Wed

• Deep Learning Part - II (CS7015): Lec 21.2 Masked Autoencoder Density Estimator (MADE) https://www.youtube.com/watch?v=lNW8T0W-xeE
• The fisher information https://www.youtube.com/watch?v=pneluWj-U-o
• An Introduction to Stellar Astrophysics https://www.youtube.com/watch?v=e-NUDjgUFZU
• Ali Ghodsi, Lec 19: PAC Learning https://www.youtube.com/watch?v=qOMOYM0WCzU
• Stanford Seminar - Information Theory of Deep Learning https://www.youtube.com/watch?v=XL07WEc2TRI
• A Short Introduction to Entropy, Cross-Entropy and KL-Divergence https://www.youtube.com/watch?v=ErfnhcEV1O8
• MADE: Masked Autoencoder for Distribution Estimation https://www.youtube.com/watch?v=7q4ueFiJjAY&t=14s

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11/16/2021

• Naftali Tishby Information Theory of Deep Learning https://www.youtube.com/watch?v=FSfN2K3tnJU

• Lenka Zdeborova Phase transition in regression and simple neural networks https://av.tib.eu/media/46451