Temporal Graph Networks (TGN) | GNN Paper Explained
❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ A deep dive into the temporal graph networks paper. You'll learn about: ✔️ What are dynamic graphs? ✔️ How to get a vectorized representation of time ✔️ All the nitty-gritty details behi
From playlist Graph Neural Nets
Ring Network - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Robert Palovics - Temporal walk based centrality metrics for graph streams
https://indico.math.cnrs.fr/event/3475/attachments/2180/2567/Palovics_GomaxSlides.pdf
From playlist Google matrix: fundamentals, applications and beyond
This lecture gives an overview of neural networks, which play an important role in machine learning today. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
More Info: https://www.caltech.edu/about/news/where-are-my-keys-and-other-memory-based-choices-probed-brain The brain’s memory-retrieval network is composed of many interacting regions. In a new study, Caltech researchers looked at the interaction between two nodes in this network: the me
From playlist Our Research
From playlist Week 9: Social Networks
Star Network - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Reservoir Computing with a Pendulum by Manish Shrimali
DISCUSSION MEETING NEUROSCIENCE, DATA SCIENCE AND DYNAMICS (ONLINE) ORGANIZERS: Amit Apte (IISER-Pune, India), Neelima Gupte (IIT-Madras, India) and Ramakrishna Ramaswamy (IIT-Delhi, India) DATE : 07 February 2022 to 10 February 2022 VENUE: Online This discussion meeting on Neuroscien
From playlist Neuroscience, Data Science and Dynamics (ONLINE)
Make-A-Video: Text-To-Video Generation Without Text-Video Data | Paper Explained
🚀 Find out how to get started using Weights & Biases 🚀 http://wandb.me/ai-epiphany 👨👩👧👦 Join our Discord community 👨👩👧👦 https://discord.gg/peBrCpheKE In this video I cover the latest text-to-video paper from Meta: "Make-A-Video: Text-To-Video Generation Without Text-Video Data". I
From playlist Video
Michael Unser - High-Speed Fourier Ptychography with Deep Spatio-Temporal Priors - IPAM at UCLA
Recorded 11 October 2022. Michael Unser of the École Polytechnique Fédérale de Lausanne (EPFL) Biomedical Imaging Group presents "High-Speed Fourier Ptychography with Deep Spatio-Temporal Priors" at IPAM's Diffractive Imaging with Phase Retrieval Workshop. Abstract: Fourier ptychography (F
From playlist 2022 Diffractive Imaging with Phase Retrieval - - Computational Microscopy
AIUK 2022 WORKSHOP - Raphtory: Real time graph analytics
Research in Action at AI UK 2022 was a series of interactive workshops designed to connect researchers with external stakeholders to solve real-world problems.
From playlist AIUK 2022 Workshops
Movie Diffusion explained | Make-a-Video from MetaAI and Imagen Video from Google Brain
Video Diffusion models explained: MetaAI’s Make-a-Video diffusion model and Imagen Video from Google Research. Sponsor: Encord 👉 https://bit.ly/3V4PoRb Thanks to our Patrons who support us in Tier 2, 3, 4: 🙏 Don Rosenthal, Dres. Trost GbR, Edvard Grødem, Vignesh Valliappan, Mutual Info
From playlist Diffusion models explained
Information and Opinion Dynamics in Online Social Networks by Niloy Ganguly
PROGRAM DYNAMICS OF COMPLEX SYSTEMS 2018 ORGANIZERS Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE: 16 June 2018 to 30 June 2018 VENUE: Ramanujan hall for Summer School held from 16 - 25 June, 2018; Madhava hall for W
From playlist Dynamics of Complex systems 2018
Raphtory: Analysing data as graphs that change in time
Research in Action Lightning Talks were shown during AI UK 2022 to highlight the real-world impacts of research projects happening at The Alan Turing Institute.
From playlist AI UK 2022 Lightning talks
Deep Reinforcement Learning of Marked Temporal Point Processes by Abir De
DISCUSSION MEETING THE THEORETICAL BASIS OF MACHINE LEARNING (ML) ORGANIZERS: Chiranjib Bhattacharya, Sunita Sarawagi, Ravi Sundaram and SVN Vishwanathan DATE : 27 December 2018 to 29 December 2018 VENUE : Ramanujan Lecture Hall, ICTS, Bangalore ML (Machine Learning) has enjoyed tr
From playlist The Theoretical Basis of Machine Learning 2018 (ML)
Vince Calhoun - Maximizing Information in neuroimaging: approaches for analysis and visualization
Recorded 13 January 2023. Vince Calhoun of the Georgia Institute of Technology presents "Maximizing Information in neuroimaging analysis: flexible approaches for analysis and visualization" at IPAM's Explainable AI for the Sciences: Towards Novel Insights Workshop. Learn more online at: ht
From playlist 2023 Explainable AI for the Sciences: Towards Novel Insights
Neural Networks 1 Neural Units
From playlist Week 5: Neural Networks