Nathaniel A. Trask

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 11

Top Topics

Structure Preserving

Robust Statistical

Top Venues

J. Comput. Phys.

Publications

Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr
Thermodynamically consistent physics-informed neural networks for hyperbolic systems. J. Comput. Phys. 449 (2022)
Rubén Villarreal, Nikolaos N. Vlassis, Nhon N. Phan, Tommie A. Catanach, Reese E. Jones, Nathaniel A. Trask, Sharlotte L. B. Kramer, WaiChing Sun
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter. CoRR (2022)
Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
Partition of unity networks: deep hp-approximation. CoRR (2021)
Quang-Thinh Ha, Paul A. Kuberry, Nathaniel A. Trask, Emily M. Ryan
Parallel implementation of a compatible high-order meshless method for the Stokes' equations. CoRR (2021)
Kookjin Lee, Nathaniel A. Trask, Panos Stinis
Machine learning structure preserving brackets for forecasting irreversible processes. CoRR (2021)
Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. MSML (2020)
Ravi G. Patel, Nathaniel A. Trask, Mamikon A. Gulian, Eric C. Cyr
A block coordinate descent optimizer for classification problems exploiting convexity. CoRR (2020)
Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr
Thermodynamically consistent physics-informed neural networks for hyperbolic systems. CoRR (2020)
Ravi G. Patel, Nathaniel A. Trask, Mitchell A. Wood, Eric C. Cyr
A physics-informed operator regression framework for extracting data-driven continuum models. CoRR (2020)
Yu Leng, Xiaochuan Tian, Nathaniel A. Trask, John T. Foster
Asymptotically compatible reproducing kernel collocation and meshfree integration for the peridynamic Navier equation. CoRR (2020)
Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. CoRR (2019)