Muhammad Firmansyah Kasim

14 papers A* 2Journal 12

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Parallelizing non-linear sequential models over the sequence length. ICLR Yi Heng Lim, Qi Zhu, Joshua Selfridge, Muhammad Firmansyah Kasim
2023	J	`jnl`	Parallelizing non-linear sequential models over the sequence length. CoRR Yi Heng Lim, Qi Zhu, Joshua Selfridge, Muhammad Firmansyah Kasim
2023	J	`jnl`	Unifying physical systems' inductive biases in neural ODE using dynamics constraints. Trans. Mach. Learn. Res. Yi Heng Lim, Muhammad Firmansyah Kasim
2022	J	`jnl`	Building high accuracy emulators for scientific simulations with deep neural architecture search. Mach. Learn. Sci. Technol. 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
2022	A*	`conf`	Constants of motion network. NeurIPS Muhammad Firmansyah Kasim, Yi Heng Lim
2022	J	`jnl`	Constants of motion network. CoRR Muhammad Firmansyah Kasim, Yi Heng Lim
2022	J	`jnl`	Unifying physical systems' inductive biases in neural ODE using dynamics constraints. CoRR Yi Heng Lim, Muhammad Firmansyah Kasim
2021	J	`jnl`	DQC: a Python program package for Differentiable Quantum Chemistry. CoRR Muhammad Firmansyah Kasim, Susi Lehtola, Sam M. Vinko
2021	J	`jnl`	Learning the exchange-correlation functional from nature with fully differentiable density functional theory. CoRR Muhammad Firmansyah Kasim, Sam M. Vinko
2021	J	`jnl`	Reducing the Long Tail Losses in Scientific Emulations with Active Learning. CoRR Yi Heng Lim, Muhammad Firmansyah Kasim
2020	J	`jnl`	Derivatives of partial eigendecomposition of a real symmetric matrix for degenerate cases. CoRR Muhammad Firmansyah Kasim
2020	J	`jnl`	Up to two billion times acceleration of scientific simulations with deep neural architecture search. CoRR 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
2020	J	`jnl`	ξ-torch: differentiable scientific computing library. CoRR Muhammad Firmansyah Kasim, Sam M. Vinko
2019	J	`jnl`	Efficient Parameter Sampling for Neural Network Construction. CoRR Drimik Roy Chowdhury, Muhammad Firmansyah Kasim