Embeddings of Riemannian manifolds with heat kernels and eigenfunctions JW Portegies
Communications on Pure and Applied Mathematics 69 (3), 478-518, 2016
57 2016 PDE-based group equivariant convolutional neural networks BMN Smets, J Portegies, EJ Bekkers, R Duits
Journal of Mathematical Imaging and Vision 65 (1), 209-239, 2023
46 2023 Diffusion variational autoencoders LAP Rey, V Menkovski, JW Portegies
arXiv preprint arXiv:1901.08991, 2019
40 2019 Embedding of RCD⁎(K, N) spaces in L2 via eigenfunctions L Ambrosio, S Honda, JW Portegies, D Tewodrose
Journal of Functional Analysis 280 (10), 108968, 2021
37 2021 A model for vortical plumes in rotating convection JW Portegies, RPJ Kunnen, GJF van Heijst, J Molenaar
Physics of Fluids 20 (6), 066602, 2008
33 2008 Well-posedness of a parabolic moving-boundary problem in the setting of Wasserstein gradient flows JW Portegies, MA Peletier
Interfaces and Free Boundaries 12 (2), 121-150, 2010
23 2010 Semicontinuity of eigenvalues under intrinsic flat convergence JW Portegies
Calculus of Variations and Partial Differential Equations 54 (2), 1725-1766, 2015
22 2015 Efimov trimers in a harmonic potential J Portegies, S Kokkelmans
Few-Body Systems 51 (2), 219-234, 2011
21 2011 Intrinsic flat and Gromov-Hausdorff convergence of manifolds with Ricci curvature bounded below R Matveev, JW Portegies
The Journal of Geometric Analysis 27 (3), 1855-1873, 2017
16 2017 Gaussian Processes for Advanced Motion Control M Poot, J Portegies, N Mooren, M van Haren, M van Meer, T Oomen
IEEJ Journal of Industry Applications, 21011492, 2022
15 2022 Properties of the intrinsic flat distance J Portegies, C Sormani
St. Petersburg Mathematical Journal 29 (3), 475-528, 2018
14 * 2018 Properties of the intrinsic flat distance J Portegies, C Sormani
Алгебра и анализ 29 (3), 70-143, 2017
14 * 2017 Equivariant deep learning via morphological and linear scale space PDEs on the space of positions and orientations R Duits, B Smets, E Bekkers, J Portegies
International Conference on Scale Space and Variational Methods in Computer …, 2021
11 2021 Total Variation and Mean Curvature PDEs on the Homogeneous Space of Positions and Orientations BMN Smets, J Portegies, E St-Onge, R Duits
Journal of Mathematical Imaging and Vision 63 (2), 237-262, 2021
10 2021 On the role of models in learning control: Actor-critic iterative learning control M Poot, J Portegies, T Oomen
IFAC-PapersOnLine 53 (2), 1450-1455, 2020
10 2020 Position-dependent snap feedforward: A gaussian process framework M van Haren, M Poot, J Portegies, T Oomen
arXiv preprint arXiv:2202.00257, 2022
9 2022 Total variation and mean curvature PDEs on the space of positions and orientations R Duits, E St-Onge, J Portegies, B Smets
International Conference on Scale Space and Variational Methods in Computer …, 2019
9 2019 Feedforward Control in the Presence of Input Nonlinearities: A Learning-based Approach J van Hulst, M Poot, D Kostić, KW Yan, J Portegies, T Oomen
IFAC-PapersOnLine 55 (37), 235-240, 2022
8 2022 Asymptotic dependency structure of multiple signals R Matveev, JW Portegies
Information Geometry 1 (2), 237-285, 2018
8 2018 Continuity of nonlinear eigenvalues in CD ( K , ∞ ) spaces with respect to measured Gromov … L Ambrosio, S Honda, JW Portegies
Calculus of Variations and Partial Differential Equations 57 (2), 1-23, 2018
7 2018