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Kernel Flows: from learning kernels from data into the abyss

Kernel Flows: from learning kernels from data into the abyss

13 August 2018
H. Owhadi
G. Yoo
ArXivPDFHTML

Papers citing "Kernel Flows: from learning kernels from data into the abyss"

14 / 14 papers shown
Title
Learning cardiac activation and repolarization times with operator learning
Learning cardiac activation and repolarization times with operator learning
Edoardo Centofanti
Giovanni Ziarelli
N. Parolini
Simone Scacchi
M. Verani
L. Pavarino
AI4CE
29
0
0
13 May 2025
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features
Oliver R. A. Dunbar
Nicholas H. Nelsen
Maya Mutic
25
5
0
30 Jun 2024
Recurrent Deep Kernel Learning of Dynamical Systems
Recurrent Deep Kernel Learning of Dynamical Systems
N. Botteghi
Paolo Motta
Andrea Manzoni
P. Zunino
Mengwu Guo
30
1
0
30 May 2024
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network
  Kernel for Gaussian Process Regression
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression
S. Z. Ashtiani
Mohammad Sarabian
K. Laksari
H. Babaee
19
2
0
14 Mar 2024
Physics-Informed Computer Vision: A Review and Perspectives
Physics-Informed Computer Vision: A Review and Perspectives
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINN
AI4CE
34
28
0
29 May 2023
Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs
Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs
Pau Batlle
Yifan Chen
Bamdad Hosseini
H. Owhadi
Andrew M. Stuart
31
17
0
08 May 2023
Multiclass classification utilising an estimated algorithmic probability
  prior
Multiclass classification utilising an estimated algorithmic probability prior
K. Dingle
Pau Batlle
H. Owhadi
14
4
0
14 Dec 2022
One-Shot Learning of Stochastic Differential Equations with Data Adapted
  Kernels
One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels
Matthieu Darcy
B. Hamzi
Giulia Livieri
H. Owhadi
P. Tavallali
36
25
0
24 Sep 2022
Ensemble forecasts in reproducing kernel Hilbert space family
Ensemble forecasts in reproducing kernel Hilbert space family
Benjamin Dufée
Berenger Hug
É. Mémin
G. Tissot
16
1
0
29 Jul 2022
Scientific Machine Learning through Physics-Informed Neural Networks:
  Where we are and What's next
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
S. Cuomo
Vincenzo Schiano Di Cola
F. Giampaolo
G. Rozza
Maizar Raissi
F. Piccialli
PINN
26
1,179
0
14 Jan 2022
Data-driven geophysical forecasting: Simple, low-cost, and accurate
  baselines with kernel methods
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods
B. Hamzi
R. Maulik
H. Owhadi
AI4TS
9
28
0
13 Feb 2021
Consistency of Empirical Bayes And Kernel Flow For Hierarchical
  Parameter Estimation
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation
Yifan Chen
H. Owhadi
Andrew M. Stuart
20
31
0
22 May 2020
Deep regularization and direct training of the inner layers of Neural
  Networks with Kernel Flows
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows
G. Yoo
H. Owhadi
22
21
0
19 Feb 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
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