A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery

Last update: Jul 13, 2022

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Overview

PiSL

A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.

Sun, F., Liu, Y. and Sun, H., 2021. Physics-informed Spline Learning for Nonlinear Dynamics Discovery, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21)

https://www.ijcai.org/proceedings/2021/0283.pdf

3 nonlinear dynamics examples:

Lorenz system (single and multi data)
Double pendulum system
Electro-Mechanical Positioning system

Owner

Fangzheng (Andy) Sun

Ph.D. student in Interdisciplinary Engineering program

GitHub Repository

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A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery

Related tags

Overview

PiSL

3 nonlinear dynamics examples:

Owner

Fangzheng (Andy) Sun

Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).

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[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning

Code for the paper "Reinforcement Learning as One Big Sequence Modeling Problem"

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Code accompanying the paper "Wasserstein GAN"

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

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