Jim Portegies

According to our database, Jim Portegies authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Position-Dependent Motion Feedforward via Gaussian Processes: Applied to Snap and Force Ripple in Semiconductor Equipment.

Maurice Poot, Max van Haren, Dragan Kostic, Jim Portegies, Tom Oomen

IEEE Trans. Control. Syst. Technol., November, 2024

Topological degree as a discrete diagnostic for disentanglement, with applications to the ΔVAE.

Mahefa Ratsisetraina Ravelonanosy, Vlado Menkovski, Jacobus W. Portegies

CoRR, 2024

Semiring Activation in Neural Networks.

Bart M. N. Smets, Peter D. Donker, Jim Portegies, Remco Duits

CoRR, 2024

Neural Langevin Dynamics: Towards Interpretable Neural Stochastic Differential Equations.

Simon Martinus Koop, Mark A. Peletier, Jacobus Willem Portegies, Vlado Menkovski

Proceedings of the Northern Lights Deep Learning Conference, 2024

2023

Conditioning in Tropical Probability Theory.

Rostislav Matveev, Jacobus W. Portegies

Entropy, December, 2023

Arrow Contraction and Expansion in Tropical Diagrams.

Rostislav Matveev, Jacobus W. Portegies

Entropy, December, 2023

PDE-Based Group Equivariant Convolutional Neural Networks.

Bart M. N. Smets, Jim Portegies, Erik J. Bekkers, Remco Duits

J. Math. Imaging Vis., January, 2023

Waterproof: Educational Software for Learning How to Write Mathematical Proofs.

Jelle Wemmenhove, Dick Arends, Thijs Beurskens, Maitreyee Bhaid, Sean McCarren, Jan Moraal, Diego Rivera Garrido, David Tuin, Malcolm Vassallo, Pieter Wils, Jim Portegies

Proceedings of the Proceedings 12th International Workshop on Theorem proving components for Educational software, 2023

Classification of Covering Spaces and Canonical Change of Basepoint.

Jelle Wemmenhove, Cosmin Manea, Jim Portegies

Proceedings of the 29th International Conference on Types for Proofs and Programs, 2023

Rational Basis Functions in Iterative Learning Control for Multivariable Systems.

Maurice Poot, Jim Portegies, Dragan Kostic, Tom Oomen

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Universal Approximation in Dropout Neural Networks.

Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies, Jaron Sanders, Albert Senen-Cerda

J. Mach. Learn. Res., 2022

Feedforward Control in the Presence of Input Nonlinearities: A Learning-based Approach.

Jilles van Hulst, Maurice Poot, Dragan Kostic, Kai Wa Yan, Jim Portegies, Tom Oomen

CoRR, 2022

Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi.

Bram Grooten, Jelle Wemmenhove, Maurice Poot, Jim Portegies

CoRR, 2022

Quantifying and Learning Linear Symmetry-Based Disentanglement.

Loek Tonnaer, Luis Armando Pérez Rey, Vlado Menkovski, Mike Holenderski, Jim Portegies

Proceedings of the International Conference on Machine Learning, 2022

Gaussian Processes for Advanced Motion Control^*.

Maurice Poot, Jim Portegies, Noud Mooren, Max van Haren, Max van Meer, Tom Oomen

Proceedings of the American Control Conference, 2022

Position-Dependent Snap Feedforward: A Gaussian Process Framework.

Max van Haren, Maurice Poot, Jim Portegies, Tom Oomen

Proceedings of the American Control Conference, 2022

2021

Total Variation and Mean Curvature PDEs on the Homogeneous Space of Positions and Orientations.

Bart M. N. Smets, Jim Portegies, Etienne St-Onge, Remco Duits

J. Math. Imaging Vis., 2021

Learning nonlinear feedforward: a Gaussian Process Approach Applied to a Printer with Friction.

Max van Meer, Maurice Poot, Jim Portegies, Tom Oomen

CoRR, 2021

Equivariant Deep Learning via Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations.

Remco Duits, Bart M. N. Smets, Erik J. Bekkers, Jim Portegies

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder.

Max van Haren, Maurice Poot, Dragan Kostic, Robin van Es, Jim Portegies, Tom Oomen

Proceedings of the 17th IEEE International Conference on Advanced Motion Control, 2021

Kernel-Based Learning Control for Iteration-Varying Tasks Applied to a Printer With Friction.

Maurice Poot, Jim Portegies, Tom Oomen

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2021

2020

Tropical probability theory and an application to the entropic cone.

Rostislav Matveev, Jacobus W. Portegies

Kybernetika, 2020

A Metric for Linear Symmetry-Based Disentanglement.

Luis A. Pérez Rey, Loek Tonnaer, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies

CoRR, 2020

Quantifying and Learning Disentangled Representations with Limited Supervision.

Loek Tonnaer, Luis A. Pérez Rey, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies

CoRR, 2020

On the Role of Models in Learning Control: Actor-Critic Iterative Learning Control.

Maurice Poot, Jim Portegies, Tom Oomen

CoRR, 2020

Diffusion Variational Autoencoders.

Luis A. Pérez Rey, Vlado Menkovski, Jim Portegies

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Tropical diagrams of probability spaces.

Rostislav Matveev, Jacobus W. Portegies

CoRR, 2019

Total Variation and Mean Curvature PDEs on the Space of Positions and Orientations.

Remco Duits, Etienne St-Onge, Jim Portegies, Bart M. N. Smets

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018

SciSports: Learning football kinematics through two-dimensional tracking data.

Anatoliy Babic, Harshit Bansal, Gianluca Finocchio, Julian Golak, Mark A. Peletier, Jim Portegies, Clara Stegehuis, Anuj Tyagi, Roland Vincze, William Weimin Yoo

CoRR, 2018

2017

Tropical Limits of Probability Spaces, Part I: The Intrinsic Kolmogorov-Sinai Distance and the Asymptotic Equipartition Property for Configurations.

Rostislav Matveev, Jacobus W. Portegies

CoRR, 2017