Nathaniel Trask
Identifiers
- name variant Nathaniel Trask 0.60 · backfill
Papers (28)
- Structure-Preserving Neural Surrogates with Tractable Uncertainty Quantification cs.LG · 2026 · author #5
- Neural Navigation Functions for Zero-Shot Generalizable Motion Planning cs.RO · 2026 · author #4
- A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds cs.LG · 2026 · author #4
- A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting cs.LG · 2026 · author #9
- Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs cs.LG · 2026 · author #5
- Parameter-varying neural ordinary differential equations with partition-of-unity networks cs.LG · 2022 · author #2
- Scalable algorithms for physics-informed neural and graph networks cs.LG · 2022 · author #3
- Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery cs.LG · 2022 · author #1
- Efficient optimization-based quadrature for variational discretization of nonlocal problems math.NA · 2022 · author #5
- Entropy stable discontinuous Galerkin methods for the shallow water equations with subcell positivity preservation math.NA · 2021 · author #2
- Polynomial-Spline Neural Networks with Exact Integrals cs.LG · 2021 · author #3
- Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling cs.LG · 2021 · author #2
- Coupling of IGA and Peridynamics for Air-Blast Fluid-Structure Interaction Using an Immersed Approach math.NA · 2021 · author #3
- A General-Purpose, Inelastic, Rotation-Free Kirchhoff-Love Shell Formulation for Peridynamics math.NA · 2021 · author #3
- An asymptotically compatible treatment of traction loading in linearly elastic peridynamic fracture math.NA · 2021 · author #3
- Enforcing exact physics in scientific machine learning: a data-driven exterior calculus on graphs math.NA · 2020 · author #1
- Data-driven learning of robust nonlocal physics from high-fidelity synthetic data math.OC · 2020 · author #3
- A unified, stable and accurate meshfree framework for peridynamic correspondence modeling. Part I: core methods math.NA · 2020 · author #2
- An Asymptotically Compatible Approach For Neumann-Type Boundary Condition On Nonlocal Problems math.AP · 2019 · author #3
- Asymptotically compatible reproducing kernel collocation and meshfree integration for nonlocal diffusion math.NA · 2019 · author #3
- A conservative, consistent, and scalable meshfree mimetic method math.NA · 2019 · author #1
- Asymptotically compatible meshfree discretization of state-based peridynamics for linearly elastic composite materials math.NA · 2019 · author #1
- A spatially adaptive high-order meshless method for fluid-structure interactions physics.comp-ph · 2019 · author #2
- Constrained particle-mesh projections in a hybridized discontinuous Galerkin framework with applications to advection-dominated flows math.NA · 2018 · author #3
- Stochastic Discontinuous Galerkin Methods (SDGM) Based on Fluctuation-Dissipation Balance math.NA · 2018 · author #2
- An asymptotically compatible meshfree quadrature rule for non-local problems with applications to peridynamics math.NA · 2018 · author #1
- A compatible high-order meshless method for the Stokes equations with applications to suspension flows math.NA · 2016 · author #1
- A high-order staggered meshless method for elliptic problems math.NA · 2016 · author #1
Mentions
- 2210.00368 #2 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2201.12391 #5 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2205.08332 #3 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2202.03242 #1 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2107.13062 #3 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2112.07749 #2 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2110.14055 #3 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2109.05364 #2 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2108.11265 #3 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2101.01434 #3 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2005.10076 #3 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2012.11799 #1 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 1907.12031 #3 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2004.11477 #2 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 1908.03853 #3 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 1902.00093 #2 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2606.11650 #5 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2602.02788 #5 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 1903.04621 #1 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 1903.00383 #1 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 1806.09916 #3 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 1806.04317 #2 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 1801.04488 #1 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 1611.03911 #1 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 1610.06203 #1 · arxiv_oai · confidence 0.70 Nathaniel Trask
- 2606.03756 #4 · arxiv_oai · confidence 0.70 Nathaniel Trask
Frequent Coauthors
- Brooks Kinch 5 shared papers
- Huaiqian You 4 shared papers
- Xiaozhe Hu 4 shared papers
- Yue Yu 4 shared papers
- Benjamin D. Shaffer 3 shared papers
- Kookjin Lee 3 shared papers
- M. Ani Hsieh 3 shared papers
- Masoud Behzadinasab 3 shared papers
- Yuri Bazilevs 3 shared papers
- Andy Huang 2 shared papers
- John T. Foster 2 shared papers
- Marta D'Elia 2 shared papers
- Mauro Perego 2 shared papers
- Pavel Bochev 2 shared papers
- Xiaochuan Tian 2 shared papers
- Adrienne M. Propp 1 shared papers
- Benjamin Huntington 1 shared papers
- Brad Boyce 1 shared papers
- Carianne Martinez 1 shared papers
- David Kamensky 1 shared papers