Embeddings of Riemannian manifolds with heat kernels and eigenfunctions JW Portegies Communications on Pure and Applied Mathematics 69 (3), 478-518, 2016 | 58 | 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 | 56 | 2023 |
Diffusion variational autoencoders LAP Rey, V Menkovski, JW Portegies arXiv preprint arXiv:1901.08991, 2019 | 47 | 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 | 38 | 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 | 34 | 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 | 25 | 2010 |
Semicontinuity of eigenvalues under intrinsic flat convergence JW Portegies Calculus of Variations and Partial Differential Equations 54 (2), 1725-1766, 2015 | 23 | 2015 |
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 11 (3), 396-407, 2022 | 21 | 2022 |
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 |
Properties of the intrinsic flat distance J Portegies, C Sormani St. Petersburg Mathematical Journal 29 (3), 475-528, 2018 | 15* | 2018 |
Properties of the intrinsic flat distance J Portegies, C Sormani Алгебра и анализ 29 (3), 70-143, 2017 | 15* | 2017 |
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 | 12 | 2021 |
Universal approximation in dropout neural networks OA Manita, MA Peletier, JW Portegies, J Sanders, A Senen-Cerda Journal of Machine Learning Research 23 (19), 1-46, 2022 | 11 | 2022 |
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 |
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 | 11 | 2020 |
Position-dependent snap feedforward: A gaussian process framework M van Haren, M Poot, J Portegies, T Oomen 2022 American Control Conference (ACC), 4778-4783, 2022 | 10 | 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 |