M. Paul Laiu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Convex Quadratic Programming

Scientific Data

Top Venues

Mach. Learn. Sci. Technol.

SIAM/ASA J. Uncertain. Quantification

SIAM J. Numer. Anal.

Publications

Steffen Schotthöfer, M. Paul Laiu, Martin Frank, Cory D. Hauck
Structure-preserving neural networks for the regularized entropy-based closure of the Boltzmann moment system. CoRR (2024)
Xue Feng, M. Paul Laiu, Thomas Strohmer
Convergence Analysis of the Alternating Anderson-Picard Method for Nonlinear Fixed-point Problems. CoRR (2024)
Benjamin P. Russo, M. Paul Laiu
Convergence of Weak-SINDy Surrogate Models. SIAM J. Appl. Dyn. Syst. 23 (2) (2024)
Steffen Schotthöfer, M. Paul Laiu
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees. CoRR (2024)
Benjamin P. Russo, M. Paul Laiu, Richard Archibald
Streaming Compression of Scientific Data via weak-SINDy. CoRR (2023)
M. Paul Laiu, Eirik Endeve, James Austin Harris, Zachary Elledge, Anthony Mezzacappa
DG-IMEX Method for a Two-Moment Model for Radiation Transport in the O(v/c) Limit. CoRR (2023)
M. Paul Laiu, André L. Tits
An infeasible-start framework for convex quadratic optimization, with application to constraint-reduced interior-point and other methods. Math. Program. 195 (1) (2022)
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
Exascale models of stellar explosions: Quintessential multi-physics simulation. Int. J. High Perform. Comput. Appl. 36 (1) (2022)
Benjamin Russo, M. Paul Laiu
Convergence of weak-SINDy Surrogate Models. CoRR (2022)
Massimiliano Lupo Pasini, M. Paul Laiu
Anderson acceleration with approximate calculations: applications to scientific computing. CoRR (2022)
William A. Porteous, M. Paul Laiu, Cory D. Hauck
Data-driven, structure-preserving approximations to entropy-based moment closures for kinetic equations. CoRR (2021)
Sandeep Madireddy, Ji Hwan Park, Sunwoo Lee, Prasanna Balaprakash, Shinjae Yoo, Wei-keng Liao, Cory D. Hauck, M. Paul Laiu, Richard Archibald
In situ compression artifact removal in scientific data using deep transfer learning and experience replay. Mach. Learn. Sci. Technol. 2 (2) (2021)
Victor P. DeCaria, Cory D. Hauck, M. Paul Laiu
Analysis of a new implicit solver for a semiconductor model. CoRR (2020)
M. Paul Laiu, Zheng Chen, Cory D. Hauck
A fast implicit solver for semiconductor models in one space dimension. J. Comput. Phys. 417 (2020)
M. Paul Laiu, Cory D. Hauck
Positivity Limiters for Filtered Spectral Approximations of Linear Kinetic Transport Equations. J. Sci. Comput. 78 (2) (2019)
M. Paul Laiu, André L. Tits
A constraint-reduced MPC algorithm for convex quadratic programming, with a modified active set identification scheme. Comput. Optim. Appl. 72 (3) (2019)
James M. Scott, M. Paul Laiu, Cory D. Hauck
Analysis of the Zero Relaxation Limit of Hyperbolic Balance Laws with Random Initial Data. SIAM/ASA J. Uncertain. Quantification 7 (3) (2019)
M. Paul Laiu, Martin Frank, Cory D. Hauck
A Positive Asymptotic-Preserving Scheme for Linear Kinetic Transport Equations. SIAM J. Sci. Comput. 41 (3) (2019)
M. Paul Laiu, Cory D. Hauck, Ryan G. McClarren, Dianne P. O'Leary, André L. Tits
Moment Closures for Linear Kinetic Equations. SIAM J. Numer. Anal. 54 (6) (2016)