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ORCIDJim Portegies
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- affiliation: Eindhoven University of Technology, The Netherlands
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2020 – today
- 2024
[c12]Simon Martinus Koop, Mark A. Peletier, Jacobus Willem Portegies, Vlado Menkovski:
Neural Langevin Dynamics: Towards Interpretable Neural Stochastic Differential Equations. NLDL 2024: 130-137- [i21]Bart M. N. Smets, Peter D. Donker, Jim Portegies, Remco Duits:
Semiring Activation in Neural Networks. CoRR abs/2405.18805 (2024) - [i20]Mahefa Ratsisetraina Ravelonanosy, Vlado Menkovski, Jacobus W. Portegies:
Topological degree as a discrete diagnostic for disentanglement, with applications to the ΔVAE. CoRR abs/2409.01303 (2024) - [i19]Jelle Wemmenhove, Cosmin Manea, Jim Portegies:
Classification of Covering Spaces and Canonical Change of Basepoint. CoRR abs/2409.15351 (2024) - 2023
- [j6]Rostislav Matveev
, Jacobus W. Portegies:
Arrow Contraction and Expansion in Tropical Diagrams. Entropy 25(12): 1637 (2023) - [j5]Rostislav Matveev, Jacobus W. Portegies:
Conditioning in Tropical Probability Theory. Entropy 25(12): 1641 (2023) - [j4]Bart M. N. Smets, Jim Portegies, Erik J. Bekkers, Remco Duits:
PDE-Based Group Equivariant Convolutional Neural Networks. J. Math. Imaging Vis. 65(1): 209-239 (2023) - [c11]Maurice Poot, Jim Portegies, Dragan Kostic, Tom Oomen:
Rational Basis Functions in Iterative Learning Control for Multivariable Systems. CDC 2023: 4644-4649 - [c10]Jelle Wemmenhove, Cosmin Manea, Jim Portegies:
Classification of Covering Spaces and Canonical Change of Basepoint. TYPES 2023: 1:1-1:23 - [c9]Jelle Wemmenhove, Dick Arends, Thijs Beurskens, Maitreyee Bhaid, Sean McCarren, Jan Moraal, Diego Rivera Garrido, David Tuin, Malcolm Vassallo, Pieter Wils, Jim Portegies:
Waterproof: Educational Software for Learning How to Write Mathematical Proofs. ThEdu@CADE 2023: 96-119 - 2022
- [j3]Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies, Jaron Sanders, Albert Senen-Cerda:
Universal Approximation in Dropout Neural Networks. J. Mach. Learn. Res. 23: 19:1-19:46 (2022) - [c8]Maurice Poot, Jim Portegies, Noud Mooren, Max van Haren, Max van Meer, Tom Oomen:
Gaussian Processes for Advanced Motion Control*. ACC 2022: 3355 - [c7]Max van Haren, Maurice Poot, Jim Portegies, Tom Oomen:
Position-Dependent Snap Feedforward: A Gaussian Process Framework. ACC 2022: 4778-4783 - [c6]Loek Tonnaer, Luis Armando Pérez Rey, Vlado Menkovski, Mike Holenderski, Jim Portegies:
Quantifying and Learning Linear Symmetry-Based Disentanglement. ICML 2022: 21584-21608 - [i18]Max van Haren, Maurice Poot, Dragan Kostic, Robin van Es, Jim Portegies, Tom Oomen:
Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder. CoRR abs/2201.07511 (2022) - [i17]Max van Haren, Maurice Poot, Jim Portegies, Tom Oomen:
Position-Dependent Snap Feedforward: A Gaussian Process Framework. CoRR abs/2202.00257 (2022) - [i16]Bram Grooten, Jelle Wemmenhove, Maurice Poot, Jim Portegies:
Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi. CoRR abs/2203.11656 (2022) - [i15]Jilles van Hulst, Maurice Poot, Dragan Kostic, Kai Wa Yan, Jim Portegies, Tom Oomen:
Feedforward Control in the Presence of Input Nonlinearities: A Learning-based Approach. CoRR abs/2209.11504 (2022) - [i14]Simon M. Koop, Mark A. Peletier, Jacobus W. Portegies, Vlado Menkovski:
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations. CoRR abs/2211.09537 (2022) - 2021
- [j2]Bart M. N. Smets, Jim Portegies, Etienne St-Onge, Remco Duits:
Total Variation and Mean Curvature PDEs on the Homogeneous Space of Positions and Orientations. J. Math. Imaging Vis. 63(2): 237-262 (2021) - [c5]Maurice Poot, Jim Portegies, Tom Oomen:
Kernel-Based Learning Control for Iteration-Varying Tasks Applied to a Printer With Friction. AIM 2021: 1052-1057 - [c4]Max van Haren, Maurice Poot, Dragan Kostic, Robin van Es, Jim Portegies, Tom Oomen:
Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder. AMC 2021: 268-273 - [c3]Remco Duits, Bart M. N. Smets, Erik J. Bekkers, Jim Portegies:
Equivariant Deep Learning via Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations. SSVM 2021: 27-39 - [i13]Max van Meer, Maurice Poot, Jim Portegies, Tom Oomen:
Learning nonlinear feedforward: a Gaussian Process Approach Applied to a Printer with Friction. CoRR abs/2112.03805 (2021) - 2020
- [j1]Rostislav Matveev, Jacobus W. Portegies:
Tropical probability theory and an application to the entropic cone. Kybernetika 56(6): 1133-1153 (2020) - [c2]Luis A. Pérez Rey, Vlado Menkovski, Jim Portegies:
Diffusion Variational Autoencoders. IJCAI 2020: 2704-2710 - [i12]Bart M. N. Smets, Jim Portegies, Erik J. Bekkers, Remco Duits:
PDE-based Group Equivariant Convolutional Neural Networks. CoRR abs/2001.09046 (2020) - [i11]Maurice Poot, Jim Portegies, Tom Oomen:
On the Role of Models in Learning Control: Actor-Critic Iterative Learning Control. CoRR abs/2007.00430 (2020) - [i10]Loek Tonnaer, Luis A. Pérez Rey, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies:
Quantifying and Learning Disentangled Representations with Limited Supervision. CoRR abs/2011.06070 (2020) - [i9]Luis A. Pérez Rey, Loek Tonnaer, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies:
A Metric for Linear Symmetry-Based Disentanglement. CoRR abs/2011.13306 (2020) - [i8]Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies, Jaron Sanders, Albert Senen-Cerda:
Universal Approximation in Dropout Neural Networks. CoRR abs/2012.10351 (2020)
2010 – 2019
- 2019
- [c1]Remco Duits, Etienne St-Onge, Jim Portegies, Bart M. N. Smets:
Total Variation and Mean Curvature PDEs on the Space of Positions and Orientations. SSVM 2019: 211-223 - [i7]Luis A. Pérez Rey, Vlado Menkovski, Jacobus W. Portegies:
Diffusion Variational Autoencoders. CoRR abs/1901.08991 (2019) - [i6]Rostislav Matveev, Jacobus W. Portegies:
Tropical diagrams of probability spaces. CoRR abs/1905.04375 (2019) - [i5]Rostislav Matveev, Jacobus W. Portegies:
Tropical probability theory and an application to the entropic cone. CoRR abs/1905.05351 (2019) - [i4]Rostislav Matveev, Jacobus W. Portegies:
Conditioning in tropical probability theory. CoRR abs/1905.05596 (2019) - [i3]Rostislav Matveev, Jacobus W. Portegies:
Arrow Contraction and Expansion in Tropical Diagrams. CoRR abs/1905.05597 (2019) - 2018
- [i2]Anatoliy Babic, Harshit Bansal, Gianluca Finocchio, Julian Golak, Mark A. Peletier, Jim Portegies, Clara Stegehuis, Anuj Tyagi, Roland Vincze, William Weimin Yoo:
SciSports: Learning football kinematics through two-dimensional tracking data. CoRR abs/1808.04550 (2018) - 2017
- [i1]Rostislav Matveev, Jacobus W. Portegies:
Tropical Limits of Probability Spaces, Part I: The Intrinsic Kolmogorov-Sinai Distance and the Asymptotic Equipartition Property for Configurations. CoRR abs/1704.00297 (2017)
Coauthor Index
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last updated on 2024-10-22 21:13 CEST by the dblp team
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