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swap lecture 10 and 11
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README.md

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| 7 | 10/03/2025 | Lecture - Jouke van Westrenen | Stochastic optimal control, Linear Quadratic Gaussian (LQG), Kalman filtering, robust control under uncertainty, unscented optimal control; | |
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| 8 | 10/10/2025 | Lecture - Kevin Wu | Distributed optimal control & multi-agent coordination; Consensus, distributed MPC, and optimization over graphs (ADMM) ||
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| 9 | 10/17/2025 | **External seminar 4** — François Pacaud | GPU-accelerated optimal control | |
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|10 | 10/24/2025 | Lecture - Michael Klamkin | Physics-Informed Neural Networks (PINNs): formulation & pitfalls | |
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|11 | 10/31/2025 | **External seminar 5** - Chris Rackauckas | Neural Differential Equations: PINNs + classical solvers | |
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|11 | 10/24/2025 | **External seminar 5** - Chris Rackauckas | Neural Differential Equations: classical solvers + adjoint methods | |
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|10 | 10/31/2025 | Lecture - Michael Klamkin | Physics-Informed Neural Networks (PINNs): formulation & pitfalls | |
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|12 | 11/07/2025 | Lecture - Pedro Paulo | Neural operators (FNO, Galerkin Transformer); large-scale surrogates | |
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|13 | 11/14/2025 | **External seminar 6** - Charlelie Laurent | Scalable PINNs / neural operators; CFD & weather applications | |
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|14 | 11/21/2025 | Lecture - TBD | TBD from the pool | |
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# Class 10 Background Material - 10/24/2025
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# Class 11 Background Material - 10/31/2025

class10/class11.md

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# Class 11 — 10/31/2025
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**Presenter:** Chris Rackauckas
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**Liason:** Michael Klamkin
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**Topic:** Neural Differential Equations: classical solvers + adjoint methods
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---
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https://book.sciml.ai/notes/11-Differentiable_Programming_and_Neural_Differential_Equations/
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# Class 11 Background Material - 10/31/2025
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# Class 10 Background Material - 10/24/2025
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class11/class11.md

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