1 code implementation • 21 Sep 2023 • Yi Heng Lim, Qi Zhu, Joshua Selfridge, Muhammad Firmansyah Kasim
Sequential models, such as Recurrent Neural Networks and Neural Ordinary Differential Equations, have long suffered from slow training due to their inherent sequential nature.
Ranked #5 on Time Series Classification on EigenWorms
1 code implementation • 22 Aug 2022 • Muhammad Firmansyah Kasim, Yi Heng Lim
The beauty of physics is that there is usually a conserved quantity in an always-changing system, known as the constant of motion.
no code implementations • 3 Aug 2022 • Yi Heng Lim, Muhammad Firmansyah Kasim
There have been a significant number of works in the past few years aimed at predicting the trajectory of motion of dynamical systems using neural networks while adhering to the law of conservation of energy.
1 code implementation • 15 Nov 2021 • Yi Heng Lim, Muhammad Firmansyah Kasim
Deep-learning-based models are increasingly used to emulate scientific simulations to accelerate scientific research.
no code implementations • 22 Dec 2019 • Drimik Roy Chowdhury, Muhammad Firmansyah Kasim
The customizable nature of deep learning models have allowed them to be successful predictors in various disciplines.
3 code implementations • 14 Jul 2016 • Muhammad Firmansyah Kasim, Luke Ceurvorst, Naren Ratan, James Sadler, Nicholas Chen, Alexander Savert, Raoul Trines, Robert Bingham, Philip N. Burrows, Malte C. Kaluza, Peter Norreys
Shadowgraphy is a technique widely used to diagnose objects or systems in various fields in physics and engineering.
Computational Physics Plasma Physics