M. Paul Laiu

32 papers B 1Journal 30Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
DG-IMEX method for a two-moment model for radiation transport in the O(v/c) limit.
J. Comput. Phys.
M. Paul Laiu, Eirik Endeve, James Austin Harris, Zachary Elledge, Anthony Mezzacappa
2025 J jnl
Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research.
CoRR
Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald, Tom Beck, Arpan Biswas, Rike Bostelmann, Wes Brewer, Chris Bryan, Christopher Calle, Cihangir Celik, Rajni Chahal, Jong Youl Choi, Arindam Chowdhury, Mark R. Cianciosa, Franklin Curtis, Gregory G. Davidson, Sebastian De Pascuale, Lisa Fassino, Ana Gainaru, Yashika Ghai, Luke Gibson, Qian Gong, Christopher Greulich, Scott Greenwood, Cory D. Hauck, Ehab Hassan, Rinkle Juneja, Soyoung Kang, Scott Klasky, Atul Kumar, Vineet Kumar, M. Paul Laiu, Calvin Lear, Yan-Ru Lin, Jono McConnell, Furkan Oz, Rishi Pillai, Anant Raj, Pradeep Ramuhalli, Marie Romedenne, Samantha Sabatino, José Salcedo-Pérez, Nathan D. See, Arpan Sircar, Punam Thankur, Timothy Reed Younkin, Xiao-Ying Yu, Prashant Jain, Tom Evans, Prasanna Balaprakash
2025 — conf
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration.
CPAL
Xue Feng, M. Paul Laiu, Thomas Strohmer
2025 J jnl
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration.
CoRR
Xue Feng, M. Paul Laiu, Thomas Strohmer
2025 J jnl
On High-Order/Low-Order and Micro-Macro Methods for Implicit Time-Stepping of the BGK Model.
SIAM J. Sci. Comput.
Cory D. Hauck, M. Paul Laiu, Stefan R. Schnake
2025 J jnl
Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit.
CoRR
Junqi Yin, Mijanur Palash, M. Paul Laiu, Muralikrishnan Gopalakrishnan Meena, John Gounley, Stephen M. de Bruyn Kops, Feiyi Wang, Ramanan Sankaran, Pei Zhang
2025 J jnl
Realizability-Preserving Discontinuous Galerkin Method for Spectral Two-Moment Radiation Transport in Special Relativity.
CoRR
Joseph Hunter, Eirik Endeve, M. Paul Laiu, Yulong Xing
2025 J jnl
Streaming Compression of Scientific Data via Weak-SINDy.
SIAM J. Sci. Comput.
Benjamin P. Russo, M. Paul Laiu, Richard Archibald
2025 J jnl
Structure-preserving neural networks for the regularized entropy-based closure of a linear, kinetic, radiative transport equation.
J. Comput. Phys.
Steffen Schotthöfer, M. Paul Laiu, Martin Frank, Cory D. Hauck
2024 J jnl
Anderson acceleration with approximate calculations: Applications to scientific computing.
Numer. Linear Algebra Appl.
Massimiliano Lupo Pasini, M. Paul Laiu
2024 J jnl
Convergence Analysis of the Alternating Anderson-Picard Method for Nonlinear Fixed-point Problems.
CoRR
Xue Feng, M. Paul Laiu, Thomas Strohmer
2024 J jnl
Convergence of Weak-SINDy Surrogate Models.
SIAM J. Appl. Dyn. Syst.
Benjamin P. Russo, M. Paul Laiu
2024 J jnl
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees.
CoRR
Steffen Schotthöfer, M. Paul Laiu
2024 J jnl
MATEY: multiscale adaptive foundation models for spatiotemporal physical systems.
CoRR
Pei Zhang, M. Paul Laiu, Matthew Norman, Doug Stefanski, John Gounley
2024 J jnl
On high-order/low-order and micro-macro methods for implicit time-stepping of the BGK model.
CoRR
Cory D. Hauck, M. Paul Laiu, Stefan Schnake
2024 B conf
Privacy Preserving Federated Learning for Advanced Scientific Ecosystems.
IEEE Big Data
Rick Archibald, Addi Malviya-Thakur, Marshall T. McDonnell, Gregory Cage, Cody Stiner, Lance Drane, M. Paul Laiu, Michael J. Brim, Mathieu Doucet, William T. Heller, Ryan Coffee
2024 J jnl
Structure-preserving neural networks for the regularized entropy-based closure of the Boltzmann moment system.
CoRR
Steffen Schotthöfer, M. Paul Laiu, Martin Frank, Cory D. Hauck
2023 J jnl
DG-IMEX Method for a Two-Moment Model for Radiation Transport in the O(v/c) Limit.
CoRR
M. Paul Laiu, Eirik Endeve, James Austin Harris, Zachary Elledge, Anthony Mezzacappa
2023 J jnl
Streaming Compression of Scientific Data via weak-SINDy.
CoRR
Benjamin P. Russo, M. Paul Laiu, Richard Archibald
2022 J jnl
An infeasible-start framework for convex quadratic optimization, with application to constraint-reduced interior-point and other methods.
Math. Program.
M. Paul Laiu, André L. Tits
2022 J jnl
Anderson acceleration with approximate calculations: applications to scientific computing.
CoRR
Massimiliano Lupo Pasini, M. Paul Laiu
2022 J jnl
Convergence of weak-SINDy Surrogate Models.
CoRR
Benjamin Russo, M. Paul Laiu
2022 J jnl
Exascale models of stellar explosions: Quintessential multi-physics simulation.
Int. J. High Perform. Comput. Appl.
James Austin Harris, Ran Chu, Sean M. Couch, Anshu Dubey, Eirik Endeve, Antigoni Georgiadou, Rajeev Jain, Daniel Kasen, M. Paul Laiu, O. E. Bronson Messer, Jared O'Neal, Michael A. Sandoval, Klaus Weide
2021 J jnl
Data-driven, structure-preserving approximations to entropy-based moment closures for kinetic equations.
CoRR
William A. Porteous, M. Paul Laiu, Cory D. Hauck
2021 J jnl
In situ compression artifact removal in scientific data using deep transfer learning and experience replay.
Mach. Learn. Sci. Technol.
Sandeep Madireddy, Ji Hwan Park, Sunwoo Lee, Prasanna Balaprakash, Shinjae Yoo, Wei-keng Liao, Cory D. Hauck, M. Paul Laiu, Richard Archibald
2020 J jnl
A fast implicit solver for semiconductor models in one space dimension.
J. Comput. Phys.
M. Paul Laiu, Zheng Chen, Cory D. Hauck
2020 J jnl
Analysis of a new implicit solver for a semiconductor model.
CoRR
Victor P. DeCaria, Cory D. Hauck, M. Paul Laiu
2019 J jnl
A Positive Asymptotic-Preserving Scheme for Linear Kinetic Transport Equations.
SIAM J. Sci. Comput.
M. Paul Laiu, Martin Frank, Cory D. Hauck
2019 J jnl
A constraint-reduced MPC algorithm for convex quadratic programming, with a modified active set identification scheme.
Comput. Optim. Appl.
M. Paul Laiu, André L. Tits
2019 J jnl
Analysis of the Zero Relaxation Limit of Hyperbolic Balance Laws with Random Initial Data.
SIAM/ASA J. Uncertain. Quantification
James M. Scott, M. Paul Laiu, Cory D. Hauck
2019 J jnl
Positivity Limiters for Filtered Spectral Approximations of Linear Kinetic Transport Equations.
J. Sci. Comput.
M. Paul Laiu, Cory D. Hauck
2016 J jnl
Positive Filtered P
SIAM J. Numer. Anal.
M. Paul Laiu, Cory D. Hauck, Ryan G. McClarren, Dianne P. O'Leary, André L. Tits