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Rational neural networks

4 April 2020

Papers citing "Rational neural networks"

44 / 44 papers shown

Title
KAN or MLP? Point Cloud Shows the Way Forward Yan Shi Qingdong He Yijun Liu Xiaoyu Liu Jingyong Su 3DPC 150 0 0 18 Apr 2025
Handling Weather Uncertainty in Air Traffic Prediction through an Inverse Approach G. Lancia D. Falanga S. Alam G. Lulli 33 0 0 07 Apr 2025
Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry Giovanni Luca Marchetti Vahid Shahverdi Stefano Mereta Matthew Trager Kathlén Kohn 155 2 0 31 Jan 2025
An explainable operator approximation framework under the guideline of Green's function Jianghang Gu Ling Wen Yuntian Chen Shiyi Chen 125 0 0 21 Dec 2024
On the Geometry and Optimization of Polynomial Convolutional Networks Vahid Shahverdi Giovanni Luca Marchetti Kathlén Kohn 55 4 0 01 Oct 2024
Cauchy activation function and XNet Xin Li Zhihong Xia Hongkun Zhang 189 6 0 28 Sep 2024
PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent Representation MOdification Tianfang Xie Tianjing Li Wei Zhu Wei Han Yi Zhao 83 5 0 26 Sep 2024
Kolmogorov-Arnold Transformer Xingyi Yang Xinchao Wang 93 27 0 16 Sep 2024
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme S. Shahane Sheide Chammas Deniz A. Bezgin Aaron B. Buhendwa Steffen J. Schmidt ... Spencer H. Bryngelson Yi-Fan Chen Qing Wang Fei Sha Leonardo Zepeda-Núñez 70 2 0 13 Sep 2024
Green Multigrid Network Ye Lin Young Ju Lee Jiwei Jia 74 1 0 04 Jul 2024
rKAN: Rational Kolmogorov-Arnold Networks Alireza Afzal Aghaei 116 20 0 20 Jun 2024
IAPT: Instruction-Aware Prompt Tuning for Large Language Models Wei-wei Zhu Aaron Xuxiang Tian Congrui Yin Yuan Ni Xiaoling Wang Guotong Xie 85 0 0 28 May 2024
Strategies for Rare Population Detection and Sampling: A Methodological Approach in Liguria G. Lancia E. Riccomagno 26 1 0 02 May 2024
Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks Ben Adcock Simone Brugiapaglia N. Dexter S. Moraga 61 4 0 04 Apr 2024
PETScML: Second-order solvers for training regression problems in Scientific Machine Learning Stefano Zampini Umberto Zerbinati George Turkyyiah David E. Keyes 67 5 0 18 Mar 2024
Operator learning without the adjoint Nicolas Boullé Diana Halikias Samuel E. Otto Alex Townsend 49 4 0 31 Jan 2024
A Mathematical Guide to Operator Learning Nicolas Boullé Alex Townsend 96 47 0 22 Dec 2023
Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications Yifan Zhang Joe Kileel 110 5 0 09 Nov 2023
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks Jules Berman Benjamin Peherstorfer 59 15 0 07 Oct 2023
Weak-PDE-LEARN: A Weak Form Based Approach to Discovering PDEs From Noisy, Limited Data R. Stephany Christopher Earls 59 4 0 09 Sep 2023
Rational Neural Network Controllers M. Newton A. Papachristodoulou OOD AAML 72 1 0 12 Jul 2023
A comparison of rational and neural network based approximations V. Peiris R. D. Millán N. Sukhorukova J. Ugon 28 0 0 08 Mar 2023
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios Zhongzhan Huang Mingfu Liang Liang Lin Liang Lin 88 5 0 05 Feb 2023
Learning to Optimize for Reinforcement Learning Qingfeng Lan Rupam Mahmood Shuicheng Yan Zhongwen Xu OffRL 115 7 0 03 Feb 2023
Convolutional Neural Operators for robust and accurate learning of PDEs Bogdan Raonić Roberto Molinaro Tim De Ryck Tobias Rohner Francesca Bartolucci Rima Alaifari Siddhartha Mishra Emmanuel de Bezenac AAML 143 100 0 02 Feb 2023
Optimal Approximation Complexity of High-Dimensional Functions with Neural Networks Vincent P. H. Goverse Jad Hamdan Jared Tanner 33 0 0 30 Jan 2023
Two-step interpretable modeling of Intensive Care Acquired Infections Giacomo Lancia Meri Varkila O. Cremer C. Spitoni 43 0 0 26 Jan 2023
PDE-LEARN: Using Deep Learning to Discover Partial Differential Equations from Noisy, Limited Data R. Stephany Christopher Earls 44 18 0 09 Dec 2022
SignReLU neural network and its approximation ability Jianfei Li Han Feng Ding-Xuan Zhou 85 4 0 19 Oct 2022
On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical Solver Zhongzhan Huang Senwei Liang Hong Zhang Haizhao Yang Liang Lin AI4CE 99 9 0 07 Aug 2022
Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion Hao Xu Junsheng Zeng Dongxiao Zhang DiffM 69 20 0 05 Aug 2022
Adaptable Adapters N. Moosavi Quentin Delfosse Kristian Kersting Iryna Gurevych 99 21 0 03 May 2022
Learning Green's functions associated with time-dependent partial differential equations N. Boullé Seick Kim Tianyi Shi Alex Townsend AI4CE 97 26 0 27 Apr 2022
PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning R. Stephany Christopher Earls DiffM AIMat 87 29 0 01 Nov 2021
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark S. Dubey S. Singh B. B. Chaudhuri 124 690 0 29 Sep 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 163 21 0 21 Jul 2021
A generalization of the randomized singular value decomposition Nicolas Boullé Alex Townsend 44 16 0 27 May 2021
Data-driven discovery of Green's functions with human-understandable deep learning Nicolas Boullé Christopher Earls Alex Townsend PINN AI4CE 60 60 0 01 May 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning Quentin Delfosse P. Schramowski Martin Mundt Alejandro Molina Kristian Kersting 139 15 0 18 Feb 2021
Learning elliptic partial differential equations with randomized linear algebra Nicolas Boullé Alex Townsend 50 43 0 31 Jan 2021
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem Matthew J. Colbrook Vegard Antun A. Hansen 119 136 0 20 Jan 2021
Reproducing Activation Function for Deep Learning Senwei Liang Liyao Lyu Chunmei Wang Haizhao Yang 80 23 0 13 Jan 2021
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks Ramy E. Ali Jinhyun So A. Avestimehr 57 36 0 11 Nov 2020
Universal Approximation with Deep Narrow Networks Patrick Kidger Terry Lyons 136 335 0 21 May 2019