Anthony Gruber

According to our database, Anthony Gruber authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

NN-OpInf: an operator inference approach using structure-preserving composable neural networks.

Eric J. Parish, Anthony Gruber, Patrick J. Blonigan, Irina Tezaur

CoRR, March, 2026

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems.

Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi

Trans. Mach. Learn. Res., 2026

2025

Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice Sheets.

Adrienne M. Propp, Mauro Perego, Eric C. Cyr, Anthony Gruber, Amanda A. Howard, Alexander Heinlein, Panos Stinis, Daniel M. Tartakovsky

CoRR, December, 2025

Hybrid coupling with operator inference and the overlapping Schwarz alternating method.

Irina Tezaur, Eric J. Parish, Anthony Gruber, Ian Moore, Christopher R. Wentland, Alejandro Mota

CoRR, November, 2025

Domain Decomposition-Based Coupling of High-Fidelity Finite Element and Reduced Order Operator Inference Models Using the Schwarz Alternating Method.

Ian Moore, Anthony Gruber, Christopher R. Wentland, Irina Tezaur

CoRR, October, 2025

Transmission Conditions for the Non-Overlapping Schwarz Coupling of Full Order and Operator Inference Models.

Cameron Rodriguez, Irina Tezaur, Alejandro Mota, Anthony Gruber, Eric J. Parish, Christopher R. Wentland

CoRR, September, 2025

Interpreting Transformer Architectures as Implicit Multinomial Regression.

Jonas A. Actor, Anthony Gruber, Eric C. Cyr

CoRR, September, 2025

Meta-learning Structure-Preserving Dynamics.

Cheng Jing, Uvini Balasuriya Mudiyanselage, Woojin Cho, Minju Jo, Anthony Gruber, Kookjin Lee

CoRR, August, 2025

Tensor parametric Hamiltonian operator inference.

Arjun Vijaywargiya, Shane A. McQuarrie, Anthony Gruber

CoRR, February, 2025

Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations.

Sanghyun Hong, Fan Wu, Anthony Gruber, Kookjin Lee

CoRR, January, 2025

Variationally Consistent Hamiltonian Model Reduction.

Anthony Gruber, Irina Tezaur

SIAM J. Appl. Dyn. Syst., 2025

Efficiently Parameterized Neural Metriplectic Systems.

Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data.

Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park

CoRR, 2024

Gaussian Variational Schemes on Bounded and Unbounded Domains.

Jonas A. Actor, Anthony Gruber, Eric C. Cyr, Nathaniel Trask

CoRR, 2024

Domain Decomposition-based coupling of Operator Inference reduced order models via the Schwarz alternating method.

Ian Moore, Christopher R. Wentland, Anthony Gruber, Irina Tezaur

CoRR, 2024

2023

Canonical and Noncanonical Hamiltonian Operator Inference.

Anthony Gruber, Irina Tezaur

CoRR, 2023

Reversible and irreversible bracket-based dynamics for deep graph neural networks.

Anthony Gruber, Kookjin Lee, Nathaniel Trask

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023