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Neural Integro-Differential Equations
v1v2v3v4 (latest)

Neural Integro-Differential Equations

AAAI Conference on Artificial Intelligence (AAAI), 2022
28 June 2022
E. Zappala
Antonio H. O. Fonseca
A. Moberly
M. Higley
C. Abdallah
Jessica A. Cardin
David van Dijk
ArXiv (abs)PDFHTML

Papers citing "Neural Integro-Differential Equations"

11 / 11 papers shown
Title
Feedback Favors the Generalization of Neural ODEs
Feedback Favors the Generalization of Neural ODEsInternational Conference on Learning Representations (ICLR), 2024
Jindou Jia
Zihan Yang
Meng Wang
Kexin Guo
Jianfei Yang
Xiang Yu
Lei Guo
OODAI4CE
403
3
0
14 Oct 2024
CaLMFlow: Volterra Flow Matching using Causal Language Models
CaLMFlow: Volterra Flow Matching using Causal Language Models
Shiyang Zhang
Daniel Levine
Ivan Vrkic
Marco Francesco Bressana
David Zhang
S. Rizvi
Yangtian Zhang
E. Zappala
David van Dijk
130
1
0
03 Oct 2024
Universal Approximation of Operators with Transformers and Neural Integral Operators
Universal Approximation of Operators with Transformers and Neural Integral Operators
E. Zappala
Maryam Bagherian
154
2
0
01 Sep 2024
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric EstimationInternational Conference on Machine Learning (ICML), 2024
Qinshuo Liu
Zixin Wang
Xi-An Li
Xinyao Ji
Lei Zhang
Lin Liu
Zhonghua Liu
260
0
0
04 Aug 2024
Projection Methods for Operator Learning and Universal Approximation
Projection Methods for Operator Learning and Universal Approximation
Emanuele Zappala
224
2
0
18 Jun 2024
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
From Fourier to Neural ODEs: Flow Matching for Modeling Complex SystemsInternational Conference on Machine Learning (ICML), 2024
Xin Li
Jingdong Zhang
Qunxi Zhu
Chengli Zhao
Xue Zhang
Xiaojun Duan
Wei Lin
247
7
0
19 May 2024
Spectral methods for Neural Integral Equations
Spectral methods for Neural Integral Equations
E. Zappala
119
2
0
09 Dec 2023
Operator Learning Meets Numerical Analysis: Improving Neural Networks
  through Iterative Methods
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods
E. Zappala
Daniel Levine
Shiyang Zhang
S. Rizvi
Sacha Lévy
David van Dijk
149
1
0
02 Oct 2023
Learning low-dimensional dynamics from whole-brain data improves task
  capture
Learning low-dimensional dynamics from whole-brain data improves task capture
Eloy P. T. Geenjaar
Donghyun Kim
Riyasat Ohib
M. Duda
A. Kashyap
Sergey Plis
Vince D. Calhoun
105
5
0
18 May 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series
Learning PDE Solution Operator for Continuous Modeling of Time-Series
Yesom Park
Jaemoo Choi
Changyeon Yoon
Changhoon Song
Myung-joo Kang
AI4TSAI4CE
150
3
0
02 Feb 2023
Neural Integral Equations
Neural Integral Equations
E. Zappala
Antonio H. O. Fonseca
J. O. Caro
David van Dijk
184
5
0
30 Sep 2022
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