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 (CBS, 2019)

Autonomous Generation of Robust and Focused Explanations for Robot Policies. - Oliver Struckmeier; Mattia Racca; Ville Kyrki (RO-MAN, 2019)

ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM. - Oliver Struckmeier; Kshitij Tiwari; Martin J. Pearson; Ville Kyrki (CoRR, 2019)

LeagueAI: Improving object detector performance and flexibility through automatically generated training data and domain randomization. - Oliver Struckmeier (CoRR, 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)

Unsupervised Learning of slow features for Data Efficient Regression. - Oliver Struckmeier; Kshitij Tiwari; Ville Kyrki (CoRR, 2020)

Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation. - Karol Arndt; Oliver Struckmeier; Ville Kyrki (IROS, 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)

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)

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)

ILPO-MP: Mode Priors Prevent Mode Collapse when Imitating Latent Policies from Observations. - Oliver Struckmeier; Ville Kyrki (Trans. Mach. Learn. Res., 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)

Autoencoding slow representations for semi-supervised data-efficient regression. - Oliver Struckmeier; Kshitij Tiwari; Ville Kyrki (Mach. Learn., 2023)

Representation learning methods for robotic perception and learning - at the intersection of computational neuroscience and machine learning. - Oliver Struckmeier (2024)

From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport. - Quentin Bouniot; Ievgen Redko; Anton Mallasto; Charlotte Laclau; Oliver Struckmeier; Karol Arndt; Markus Heinonen; Ville Kyrki; Samuel Kaski (CVPR, 2025)