Anthony Gruber

21 papers A* 2Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NN-OpInf: an operator inference approach using structure-preserving composable neural networks. CoRR Eric J. Parish, Anthony Gruber, Patrick J. Blonigan, Irina Tezaur
2026	J	`jnl`	Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems. Trans. Mach. Learn. Res. Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi
2025	J	`jnl`	Domain Decomposition-Based Coupling of High-Fidelity Finite Element and Reduced Order Operator Inference Models Using the Schwarz Alternating Method. CoRR Ian Moore, Anthony Gruber, Christopher R. Wentland, Irina Tezaur
2025	J	`jnl`	Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice Sheets. CoRR Adrienne M. Propp, Mauro Perego, Eric C. Cyr, Anthony Gruber, Amanda A. Howard, Alexander Heinlein, Panos Stinis, Daniel M. Tartakovsky
2025	A*	`conf`	Efficiently Parameterized Neural Metriplectic Systems. ICLR Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask
2025	J	`jnl`	Hybrid coupling with operator inference and the overlapping Schwarz alternating method. CoRR Irina Tezaur, Eric J. Parish, Anthony Gruber, Ian Moore, Christopher R. Wentland, Alejandro Mota
2025	J	`jnl`	Interpreting Transformer Architectures as Implicit Multinomial Regression. CoRR Jonas A. Actor, Anthony Gruber, Eric C. Cyr
2025	J	`jnl`	Meta-learning Structure-Preserving Dynamics. CoRR Cheng Jing, Uvini Balasuriya Mudiyanselage, Woojin Cho, Minju Jo, Anthony Gruber, Kookjin Lee
2025	J	`jnl`	Tensor parametric Hamiltonian operator inference. CoRR Arjun Vijaywargiya, Shane A. McQuarrie, Anthony Gruber
2025	J	`jnl`	Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems. CoRR Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi
2025	J	`jnl`	Transmission Conditions for the Non-Overlapping Schwarz Coupling of Full Order and Operator Inference Models. CoRR Cameron Rodriguez, Irina Tezaur, Alejandro Mota, Anthony Gruber, Eric J. Parish, Christopher R. Wentland
2025	J	`jnl`	Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations. CoRR Sanghyun Hong, Fan Wu, Anthony Gruber, Kookjin Lee
2025	J	`jnl`	Variationally Consistent Hamiltonian Model Reduction. SIAM J. Appl. Dyn. Syst. Anthony Gruber, Irina Tezaur
2024	J	`jnl`	Domain Decomposition-based coupling of Operator Inference reduced order models via the Schwarz alternating method. CoRR Ian Moore, Christopher R. Wentland, Anthony Gruber, Irina Tezaur
2024	J	`jnl`	Efficiently Parameterized Neural Metriplectic Systems. CoRR Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask
2024	J	`jnl`	Gaussian Variational Schemes on Bounded and Unbounded Domains. CoRR Jonas A. Actor, Anthony Gruber, Eric C. Cyr, Nathaniel Trask
2024	J	`jnl`	MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data. CoRR Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park
2024	J	`jnl`	Variationally consistent Hamiltonian model reduction. CoRR Anthony Gruber, Irina Tezaur
2023	J	`jnl`	Canonical and Noncanonical Hamiltonian Operator Inference. CoRR Anthony Gruber, Irina Tezaur
2023	A*	`conf`	Reversible and irreversible bracket-based dynamics for deep graph neural networks. NeurIPS Anthony Gruber, Kookjin Lee, Nathaniel Trask
2023	J	`jnl`	Reversible and irreversible bracket-based dynamics for deep graph neural networks. CoRR Anthony Gruber, Kookjin Lee, Nathaniel Trask