Muhammad Firmansyah Kasim

According to our database, Muhammad Firmansyah Kasim authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Unifying physical systems' inductive biases in neural ODE using dynamics constraints.

Yi Heng Lim, Muhammad Firmansyah Kasim

Trans. Mach. Learn. Res., 2023

Parallelizing non-linear sequential models over the sequence length.

Yi Heng Lim, Qi Zhu, Joshua Selfridge, Muhammad Firmansyah Kasim

CoRR, 2023

2022

Building high accuracy emulators for scientific simulations with deep neural architecture search.

Muhammad Firmansyah Kasim, Duncan Watson-Parris, Lucia Deaconu, Sophy Oliver, Peter W. Hatfield, Dustin H. Froula, Gianluca Gregori, Matt Jarvis, Samar Khatiwala, Jun Korenaga, Jacob Topp-Mugglestone, Eleonora Viezzer, Sam M. Vinko

Mach. Learn. Sci. Technol., 2022

Constants of motion network.

Muhammad Firmansyah Kasim, Yi Heng Lim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Reducing the Long Tail Losses in Scientific Emulations with Active Learning.

Yi Heng Lim, Muhammad Firmansyah Kasim

CoRR, 2021

DQC: a Python program package for Differentiable Quantum Chemistry.

Muhammad Firmansyah Kasim, Susi Lehtola, Sam M. Vinko

CoRR, 2021

Learning the exchange-correlation functional from nature with fully differentiable density functional theory.

Muhammad Firmansyah Kasim, Sam M. Vinko

CoRR, 2021

2020

Derivatives of partial eigendecomposition of a real symmetric matrix for degenerate cases.

Muhammad Firmansyah Kasim

CoRR, 2020

ξ-torch: differentiable scientific computing library.

Muhammad Firmansyah Kasim, Sam M. Vinko

CoRR, 2020

Up to two billion times acceleration of scientific simulations with deep neural architecture search.

Muhammad Firmansyah Kasim, Duncan Watson-Parris, Lucia Deaconu, Sophy Oliver, Peter W. Hatfield, Dustin H. Froula, Gianluca Gregori, Matt Jarvis, Samar Khatiwala, Jun Korenaga, Jacob Topp-Mugglestone, Eleonora Viezzer, Sam M. Vinko

CoRR, 2020

2019

Efficient Parameter Sampling for Neural Network Construction.

Drimik Roy Chowdhury, Muhammad Firmansyah Kasim

CoRR, 2019