Awesome-Machine-learning-for-discovery-of-physical-laws

A curated list of awesome resources on using machine learning and data science for discovery of physical laws
https://github.com/usccolumbia/Awesome-Machine-learning-for-discovery-of-physical-laws

Last synced: 4 days ago
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Reading list to get inspired
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- article
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery network
- AI daily
- Forbes
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- Harvard link
- Talk
- Advancing Fusion with Machine Learning workshop report
- theverge
- AI could be the perfect tool for exploring the Universe
- Tackling Climate Change with Machine Learning ICLR2020 workshop papers
- A machine-learning revolution for physics and materials science...
- Machine learning meets quantum physics
- Machine learning versus physics-based modeling
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Teaches Itself Laws of Physics
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- AI Copernicus ‘discovers’ that Earth orbits the Sun
Exemplary research works
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- link - Marian, and Max Tegmark.
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- Discovering Physical Concepts with Neural Networks
- arxiv
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Survey/Review papers
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- arxiv
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- `arxiv`
- `arxiv`
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- `arxiv`
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- `pdf`
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software toolls
- S. S. Sahoo, C. H. Lampert, and G. Martius, “Learning Equations for Extrapolation and Control,” jun 2018. [Online
- AI Feynman symbolic regression package
- fast symbolic regression
- Eureka commercial
- Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
Resources for students
- Resources for students - Frédo Durand (MIT)
- Notes on writing - Frédo Durand (MIT)
- How to Write a Bad Article - Frédo Durand (MIT)
- Advice for Graduate Students - Aaron Hertzmann (Adobe Research)
- Graduate Skills Seminars - Yashar Ganjali, Aaron Hertzmann (University of Toronto)
- Research Skills - Simon Peyton Jones (Microsoft Research)
- Resource collection - Tao Xie (UIUC) and Yuan Xie (UCSB)
- Write Good Papers - Frédo Durand (MIT)
- How to write a good CVPR submission - William T. Freeman (MIT)
- How to write a great research paper - Simon Peyton Jones (Microsoft Research)
- Writing Research Papers - Aaron Hertzmann (Adobe Research)
- How to Write a Great Paper - Martin Martin Hering Hering--Bertram (Hochschule Bremen University of Applied Sciences)
- How to have a paper get into SIGGRAPH? - Takeo Igarashi (The University of Tokyo)
- Good Writing - Marc H. Raibert (Boston Dynamics, Inc.)
- How to Write a Computer Vision Paper - Derek Hoiem (UIUC)
- Common mistakes in technical writing - Wojciech Jarosz (Dartmouth College)
- Giving a Research Talk - Frédo Durand (MIT)
- How to give a good talk - David Fleet (University of Toronto) and Aaron Hertzmann (Adobe Research)
- How to do research - William T. Freeman (MIT)
- Warning Signs of Bogus Progress in Research in an Age of Rich Computation and Information - Yi Ma (UIUC)
- Five Principles for Choosing Research Problems in Computer Graphics - Thomas Funkhouser (Cornell University)
- How To Do Research In the MIT AI Lab - David Chapman (MIT)
- Time Management - Randy Pausch (CMU)
Awesome Machine learning for discovery of physical laws (ML4PhysicsLAW)
- Machine Learning and Evolution Laboratory at University of South Carolina
- awesome-computer-vision
- Machine Learning and Evolution Laboratory at University of South Carolina
Causal relationship learning/discovery
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ODE derivation, equation inference
- Physics Based Deep Learning
Deep learning resources'
- github Awesome deep learning resources
Uncertainty quantification
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AutoML
- `arxiv`
- `arxiv`
- `pdf`
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Dimension reduction
- Blog
- `pdf`
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GNN
- `arxiv` - Designed-Graph-Convolutions)
- `arxiv`
- `arxiv`
- `arxiv`
- `arxiv` - Learning-on-Relational-Databases-with-GNNs)
Meta Learning
- `arxiv`
- `arxiv`
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Conferences and Workshops related
- Link - programs/machine-learning-for-physics-and-the-physics-of-learning/?tab=seminar-series)
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- IPAM link
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- link - ii-interpretable-learning-in-physical-sciences/?tab=schedule)
- videos - iv-deep-geometric-learning-of-big-data-and-applications/)
- ML4science workshop
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Journals
- Machine Learning: Science and Technology
Tutorials
- Physics-Informed Learning Machines
Blogs
- Andrej Karpathy blog - Andrej Karpathy
Links
- German Computer Vision Research Groups & Companies
- awesome-deep-learning
- awesome-machine-learning
- Cat Paper Collection
- Most cited researchers on Google scholars
Licenses
- ![CC0

Programming Languages

Categories

Reading list to get inspired 62 Survey/Review papers 56 Exemplary research works 49 Resources for students 23 Conferences and Workshops related 9 software toolls 5 GNN 5 Links 5 Meta Learning 4 AutoML 4 Awesome Machine learning for discovery of physical laws (ML4PhysicsLAW) 3 Dimension reduction 3 Uncertainty quantification 1 Causal relationship learning/discovery 1 ODE derivation, equation inference 1 Blogs 1 Deep learning resources' 1 Tutorials 1 Licenses 1 Journals 1

Sub Categories

Keywords

neural-network 2 deep-learning 2 recurrent-networks 1 machine-learning 1 face-images 1 deep-networks 1 deep-learning-tutorial 1 awesome-list 1 awesome 1 video 1 reinforcement-learning 1 paper 1 nlp 1 modelzoo 1 corpus 1 code 1