2 citations · 4 across the 4 of their papers we have counts for
4 papers
Parallelizing non-linear sequential models over the sequence length
Yi Heng Lim, Qi Zhu, Joshua Selfridge +1
Sequential models, such as Recurrent Neural Networks and Neural Ordinary Differential Equations, have long suffered from slow training due to their inherent sequential nature. For…
Unifying physical systems' inductive biases in neural ODE using dynamics constraints
Yi Heng Lim, Muhammad Firmansyah Kasim
Conservation of energy is at the core of many physical phenomena and dynamical systems. There have been a significant number of works in the past few years aimed at predicting the…
Constants of motion network
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. Finding the constant of motion is important in un…
Reducing the Long Tail Losses in Scientific Emulations with Active Learning
Yi Heng Lim, Muhammad Firmansyah Kasim
Deep-learning-based models are increasingly used to emulate scientific simulations to accelerate scientific research. However, accurate, supervised deep learning models require hug…