Oliver Struckmeier

According to our database, Oliver Struckmeier authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Representation learning methods for robotic perception and learning - at the intersection of computational neuroscience and machine learning.

Oliver Struckmeier

PhD thesis, 2024

2023

Autoencoding slow representations for semi-supervised data-efficient regression.

Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki

Mach. Learn., July, 2023

Learning representations that are closed-form Monge mapping optimal with application to domain adaptation.

Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki

Trans. Mach. Learn. Res., 2023

ILPO-MP: Mode Priors Prevent Mode Collapse when Imitating Latent Policies from Observations.

Oliver Struckmeier, Ville Kyrki

Trans. Mach. Learn. Res., 2023

Understanding deep neural networks through the lens of their non-linearity.

Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski

CoRR, 2023

Beyond invariant representation learning: linearly alignable latent spaces for efficient closed-form domain adaptation.

Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki

CoRR, 2023

2021

Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding.

Martin J. Pearson, Shirin Dora, Oliver Struckmeier, Thomas C. Knowles, Ben Mitchinson, Kshitij Tiwari, Ville Kyrki, Sander M. Bohté, Cyriel M. A. Pennartz

Frontiers Robotics AI, 2021

Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation.

Karol Arndt, Oliver Struckmeier, Ville Kyrki

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Unsupervised Learning of slow features for Data Efficient Regression.

Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki

CoRR, 2020

2019

MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations.

Oliver Struckmeier, Kshitij Tiwari, Shirin Dora, Martin J. Pearson, Sander M. Bohté, Cyriel M. A. Pennartz, Ville Kyrki

CoRR, 2019

LeagueAI: Improving object detector performance and flexibility through automatically generated training data and domain randomization.

Oliver Struckmeier

CoRR, 2019

ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM.

Oliver Struckmeier, Kshitij Tiwari, Martin J. Pearson, Ville Kyrki

CoRR, 2019

Autonomous Generation of Robust and Focused Explanations for Robot Policies.

Oliver Struckmeier, Mattia Racca, Ville Kyrki

Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

ViTa-SLAM: A Bio-inspired Visuo-Tactile SLAM for Navigation while Interacting with Aliased Environments.

Oliver Struckmeier, Kshitij Tiwari, Mohammed Salman, Martin J. Pearson, Ville Kyrki

Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019