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Neural Implicit Flow (NIF) [Physics Informed Machine Learning]
Steve Brunton
Aug 30, 2024
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Neural ODEs (NODEs) [Physics Informed Machine Learning]
Deep Operator Networks (DeepONet) [Physics Informed Machine Learning]
Python Symbolic Regression (PySR) [Physics Informed Machine Learning]
The Key Equation Behind Probability
Fourier Neural Operator (FNO) [Physics Informed Machine Learning]
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data
Kolmogorov Arnold Networks (KAN) Paper Explained - An exciting new paradigm for Deep Learning?
Lagrangian Neural Network (LNN) [Physics Informed Machine Learning]
Why Does Diffusion Work Better than Auto-Regression?
Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]
Residual Networks (ResNet) [Physics Informed Machine Learning]
Terence Tao at IMO 2024: AI and Mathematics
Hamiltonian Neural Networks (HNN) [Physics Informed Machine Learning]
How might LLMs store facts | Chapter 7, Deep Learning
The Most Important Algorithm in Machine Learning
AI can't cross this line and we don't know why.
Teaching Neural Network to Solve Navier-Stokes Equations
The future of AI looks like THIS (& it can learn infinitely)
Discrepancy Modeling with Physics Informed Machine Learning