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Publication search results
found 235 matches
- 2024
- Yequan Zhao, Xian Xiao, Xinling Yu, Ziyue Liu, Zhixiong Chen, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang:
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training. CoRR abs/2401.00413 (2024) - Maximilian Brunner, Dirk Praetorius, Julian Streitberger:
Cost-optimal adaptive FEM with linearization and algebraic solver for semilinear elliptic PDEs. CoRR abs/2401.06486 (2024) - Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long:
Transolver: A Fast Transformer Solver for PDEs on General Geometries. CoRR abs/2402.02366 (2024) - Damyn Chipman, Donna A. Calhoun, Carsten Burstedde:
A Fast Direct Solver for Elliptic PDEs on a Hierarchy of Adaptively Refined Quadtrees. CoRR abs/2402.14936 (2024) - Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani:
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations. CoRR abs/2402.17853 (2024) - Alexandre Pannier, Cristopher Salvi:
A path-dependent PDE solver based on signature kernels. CoRR abs/2403.11738 (2024) - 2023
- Yanlai Song, Malik Zaka Ullah:
On a sparse and stable solver on graded meshes for solving high-dimensional parabolic pricing PDEs. Comput. Math. Appl. 143: 224-233 (2023) - Yuan Lan, Zhen Li, Jie Sun, Yang Xiang:
DOSnet as a non-black-box PDE solver: When deep learning meets operator splitting. J. Comput. Phys. 491: 112343 (2023) - Gianluca Frasca Caccia, Pranav Singh:
Optimal Parameters for Numerical Solvers of PDEs. J. Sci. Comput. 97(1): 11 (2023) - Ian C. T. May, Ronald D. Haynes, Steven J. Ruuth:
A closest point method library for PDEs on surfaces with parallel domain decomposition solvers and preconditioners. Numer. Algorithms 93(2): 615-637 (2023) - Huanqi Cao, Shizhi Tang, Qianchao Zhu, Bowen Yu, Wenguang Chen:
Mat2Stencil: A Modular Matrix-Based DSL for Explicit and Implicit Matrix-Free PDE Solvers on Structured Grid. Proc. ACM Program. Lang. 7(OOPSLA2): 686-715 (2023) - Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park:
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers. AAAI 2023: 8186-8194 - Winfried van den Dool, Tijmen Blankevoort, Max Welling, Yuki M. Asano:
Efficient Neural PDE-Solvers using Quantization Aware Training. ICCV (Workshops) 2023: 1415-1424 - Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets:
General Covariance Data Augmentation for Neural PDE Solvers. ICML 2023: 9665-9688 - Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu:
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. ICML 2023: 13993-14006 - Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik:
Learning Preconditioners for Conjugate Gradient PDE Solvers. ICML 2023: 19425-19439 - Zhiqing Sun, Yiming Yang, Shinjae Yoo:
A Neural PDE Solver with Temporal Stencil Modeling. ICML 2023: 33135-33155 - Makoto Takamoto, Francesco Alesiani, Mathias Niepert:
Learning Neural PDE Solvers with Parameter-Guided Channel Attention. ICML 2023: 33448-33467 - Ali Ghafouri, George Biros:
A 3D Inverse Solver for a Multi-species PDE Model of Glioblastoma Growth. CMMCA@MICCAI 2023: 51-60 - Phillip Lippe, Bas Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter:
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers. NeurIPS 2023 - Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran:
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. SC 2023: 80:1-80:15 - Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets:
General Covariance Data Augmentation for Neural PDE Solvers. CoRR abs/2301.12730 (2023) - Léonard Equer, T. Konstantin Rusch, Siddhartha Mishra:
Multi-Scale Message Passing Neural PDE Solvers. CoRR abs/2302.03580 (2023) - Zhiqing Sun, Yiming Yang, Shinjae Yoo:
A Neural PDE Solver with Temporal Stencil Modeling. CoRR abs/2302.08105 (2023) - Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu:
NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition. CoRR abs/2302.10255 (2023) - Andrew P. Lawrence, Morten E. Nielsen, Bengt Fornberg:
Node Subsampling for Multilevel Meshfree Elliptic PDE Solvers. CoRR abs/2303.09080 (2023) - Rini Jasmine Gladstone, Helia Rahmani, Vishvas Suryakumar, Hadi Meidani, Marta D'Elia, Ahmad Zareei:
GNN-based physics solver for time-independent PDEs. CoRR abs/2303.15681 (2023) - Nick McGreivy, Ammar Hakim:
Invariant preservation in machine learned PDE solvers via error correction. CoRR abs/2303.16110 (2023) - Matteo Caldana, Paola F. Antonietti, Luca Dede':
A Deep Learning algorithm to accelerate Algebraic Multigrid methods in Finite Element solvers of 3D elliptic PDEs. CoRR abs/2304.10832 (2023) - Makoto Takamoto, Francesco Alesiani, Mathias Niepert:
Learning Neural PDE Solvers with Parameter-Guided Channel Attention. CoRR abs/2304.14118 (2023)
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