Evolving Normalization-Activation Layers
Normalization and activation layers have seen a long history of hand-crafted variants with various results. This paper proposes an evolutionary search to determine the ultimate, final and best combined normalization-activation layer... in a very specific setting. https://arxiv.org/abs/200
From playlist Deep Learning Architectures
Jean-Claude Belfiore - Beyond the statistical perspective on deep learning,...
Talk at the school and conference “Toposes online” (24-30 June 2021): https://aroundtoposes.com/toposesonline/ Beyond the statistical perspective on deep learning, the toposic point of view: Invariance and semantic information (joint work with Daniel Bennequin) The last decade has witnes
From playlist Toposes online
Meta-Learning is one of the most interesting methods powering next-generation Deep Neural Networks. This video will explain the idea of using Search algorithms to design Neural Network layers! Thanks for watching, please Subscribe for more Deep Learning videos! Paper Link: https://arxiv.
From playlist Neural Network Design
Public Lecture: Scaling of Electronic Devices: From the Vacuum Tube... by Latha Venkataraman
Second Bangalore School on Population Genetics and Evolution URL: http://www.icts.res.in/program/popgen2016 DESCRIPTION: Just as evolution is central to our understanding of biology, population genetics theory provides the basic framework to comprehend evolutionary processes. Population
From playlist Modern Trends in Electron Transfer Chemistry: From Molecular Electronics to Devices
Neural Networks and Deep Learning
This lecture explores the recent explosion of interest in neural networks and deep learning in the context of 1) vast and increasing data sets, and 2) rapidly improving computational hardware, which have enabled the training of deep neural networks. Book website: http://databookuw.com/
From playlist Intro to Data Science
Stanford Course - Genetic Engineering & Biotechnology
Preview the online course: Genetic Engineering and Biotechnology (XGEN203) More info: http://geneticscertificate.stanford.edu/courses/genetic-engineering-and-biotechnology.php The co-evolution of genetic engineering and biotechnology in the last 30+ years has allowed for groundbreaking fi
From playlist Genetics & Genomics
Detecting other types of positive selection by Wolfgang Stephan
Second Bangalore School on Population Genetics and Evolution URL: http://www.icts.res.in/program/popgen2016 DESCRIPTION: Just as evolution is central to our understanding of biology, population genetics theory provides the basic framework to comprehend evolutionary processes. Population
From playlist Second Bangalore School on Population Genetics and Evolution
Andrew Ferguson: "Machine learning-enabled enhanced sampling in biomolecular simulation and..."
Machine Learning for Physics and the Physics of Learning Tutorials 2019 "Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides" Andrew Ferguson, University of Chicago -
From playlist Machine Learning for Physics and the Physics of Learning 2019
AI Weekly Update - May 11th, 2020 (#20)
Thank you for watching! Please Subscribe! Machine Learning Street Talk: https://www.youtube.com/channel/UCMLtBahI5DMrt0NPvDSoIRQ Paper Links: Deep Learning with Graph-Structured Representations: https://dare.uva.nl/search?identifier=1b63b965-24c4-4bcd-aabb-b849056fa76d Yoshua Bengio ICLR
From playlist AI Research Weekly Updates
On the Measure of Intelligence by François Chollet - Part 1: Foundations (Paper Explained)
How does one measure the Intelligence of an AI? Is AlphaGo intelligent? How about GPT-3? In this landmark paper, Chollet proposes a solid measure of intelligence for AI that revolves around generalization, rather than skill. OUTLINE: 0:00 - Intro 1:15 - The need for a measure of intellige
From playlist Papers Explained
Mohammed AlQuraishi - OpenFold: Lessons and insights from rebuilding and retraining AlphaFold2
Recorded 23 January 2023. Mohammed AlQuraishi of Harvard Medical School, Systems Biology, presents "OpenFold: Lesson learned and insights gained from rebuilding and retraining AlphaFold2" at IPAM's Learning and Emergence in Molecular Systems Workshop. Abstract: AlphaFold2 revolutionized st
From playlist 2023 Learning and Emergence in Molecular Systems
Detecting strong positive directional selection in the genome by Wolfgang Stephan
Second Bangalore School on Population Genetics and Evolution URL: http://www.icts.res.in/program/popgen2016 DESCRIPTION: Just as evolution is central to our understanding of biology, population genetics theory provides the basic framework to comprehend evolutionary processes. Population
From playlist Second Bangalore School on Population Genetics and Evolution
Sayan Mukherjee (8/29/21): Modeling shapes and fields: a sheaf theoretic perspective
We will consider modeling shapes and fields via topological and lifted-topological transforms. Specifically, we show how the Euler Characteristic Transform and the Lifted Euler Characteristic Transform can be used in practice for statistical analysis of shape and field data. The Lifted Eul
From playlist Beyond TDA - Persistent functions and its applications in data sciences, 2021
Deep Learning Lecture 5.2 - Convolutions
Convolutional Neural Networks - Convolutions - Equivariance - Sparse connections - Parameter sharing
From playlist Deep Learning Lecture
Kaggle Reading Group: Weight Agnostic Neural Networks (Part 2) | Kaggle
Today we're continuing with the paper "Weight Agnostic Neural Networks" by Gaier & Ha from NeurIPS 2019. Link to paper: https://arxiv.org/pdf/1906.04358.pdf SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_... About Kaggle: Kaggle is the world's largest community of data scientists. Join
From playlist Kaggle Reading Group | Kaggle
Gene genealogies with recombination by John Wakeley
Second Bangalore School on Population Genetics and Evolution URL: http://www.icts.res.in/program/popgen2016 DESCRIPTION: Just as evolution is central to our understanding of biology, population genetics theory provides the basic framework to comprehend evolutionary processes. Population
From playlist Second Bangalore School on Population Genetics and Evolution
How I created an evolving neural network ecosystem
After my last video I got a lot of comments (mainly on Reddit) asking me to make a video explaining how I did it. It took me a while to learn how to video edit, voice act, and animate, so it was about time I presented and explained this project. The Bibites Made in C# on Unity I highly
From playlist Progress of Artificial Life Simulation
Lecture 08: Function Approximation with Supervised Learning
Eighth lecture video on the course "Reinforcement Learning" at Paderborn University during the summer term 2020. Source files are available here: https://github.com/upb-lea/reinforcement_learning_course_materials
From playlist Reinforcement Learning Course: Lectures (Summer 2020)
Stanford Course - New Frontiers in Cancer Genomics
Preview the online course: New Frontiers in Cancer Genomics (XGEN206) Info: http://geneticscertificate.stanford.edu/ New research shows that genetic variations continue to accrue throughout tumor development. Having the ability to conduct deep sequencing on the healthy and cancerous cells
From playlist Genetics & Genomics
Kaggle Reading Group: Weight Agnostic Neural Networks | Kaggle
Today we're starting the paper "Weight Agnostic Neural Networks" by Gaier & Ha from NeurIPS 2019. Link to paper: https://arxiv.org/pdf/1906.04358.pdf SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_... About Kaggle: Kaggle is the world's largest community of data scientists. Join us to
From playlist Kaggle Reading Group | Kaggle