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1,199 results
SciML stands for Scientific Machine Learning. SciML is a collection of state-of-the-art tools for Scientists written in the Julia ...
5,585 views
3y ago
"Optimal Control in Julia: SciML's newest tooling" by Chris Rackauckas, presented at JuliaCon Local Paris 2025. Optimal control ...
1,565 views
5mo ago
Scientific machine learning combines differentiable programming, scientific simulation (differential equations, nonlinear solvers, ...
43,920 views
Streamed 5y ago
Chris Rackauckas talks about his plan to extend the Julia SciML Ecosystem to a Backbone for PDEs Join the channel to support ...
928 views
2mo ago
Recorded 16 April 2026. Benjamin Sanderse of Centrum Wiskunde & Informatica presents "Structure-preserving SciML for ...
294 views
4d ago
My one-day workshop on Scalable Physics-Informed Neural Networks, which I gave at CWI in Amsterdam during their Autumn ...
5,225 views
State of Julia's SciML Ecosystem by Chris Rackauckas PreTalx: https://pretalx.com/juliacon2024/talk/QKU8BE/ SciML is huge.
3,711 views
1y ago
SciML is huge. If I say "I am using a SciML package", that could mean DifferentialEquations.jl, but it could also mean ...
2,813 views
11mo ago
Chris Rackauckas Applied Mathematics Instructor, MIT Senior Research Analyst, University of Maryland, Baltimore School of ...
2,081 views
5y ago
Code link: https://drive.google.com/file/d/1DJhIgulv6878N68_8ECwuX--rGxpfn5d/view?usp=sharing _____ Most people think ...
7,348 views
10mo ago
In this video, I implemented the PINNsformer architecture entirely from scratch. PINNsformer, introduced at ICLR 2024, opened a ...
2,707 views
4mo ago
Machine learning is the process of learning functions. In this talk we introduce what neural networks are at a high level and use ...
2,949 views
2y ago
Presentation by Chris Rackauckas at ChapelCon '25. Slides for this talk are available at: ...
95 views
Title: Automatic Differentiation and SciML: What Can Go Wrong, and What to Do About It? Scientific machine learning (SciML) ...
5,019 views
Efficient boundary value problems solving in SciML by Chris Rackauckas, Qingyu Qu PreTalx: ...
935 views
Learn how to leverage Dyad's model discovery capabilities to automatically identify and complete missing physics in your ...
884 views
Designing SciML components in ModelingToolkit.jl by Ashutosh Bharambe, Dhairya Gandhi PreTalx: ...
214 views
This talk was part of SciMLCon 2022! For more information, check out https://scimlcon.org/2022/. For more information on the ...
10,851 views
4y ago
TITLE: Foundational Methods for Foundation Models for Scientific Machine Learning SPEAKER: Michael W. Mahoney, ICSI, LBNL ...
183 views
The inaugural SciMLCon of the Scientific Machine Learning Open Source Software Community is focused on the development ...
18,941 views
Streamed 4y ago