Oliver Struckmeier

17 papers A* 1A 1B 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport. CVPR Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski
2024	—	`—`	Representation learning methods for robotic perception and learning - at the intersection of computational neuroscience and machine learning. Oliver Struckmeier
2023	J	`jnl`	Autoencoding slow representations for semi-supervised data-efficient regression. Mach. Learn. Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki
2023	J	`jnl`	Beyond invariant representation learning: linearly alignable latent spaces for efficient closed-form domain adaptation. CoRR Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki
2023	J	`jnl`	ILPO-MP: Mode Priors Prevent Mode Collapse when Imitating Latent Policies from Observations. Trans. Mach. Learn. Res. Oliver Struckmeier, Ville Kyrki
2023	J	`jnl`	Learning representations that are closed-form Monge mapping optimal with application to domain adaptation. Trans. Mach. Learn. Res. Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki
2023	J	`jnl`	Understanding deep neural networks through the lens of their non-linearity. CoRR Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski
2021	A	`conf`	Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation. IROS Karol Arndt, Oliver Struckmeier, Ville Kyrki
2021	J	`jnl`	Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation. CoRR Karol Arndt, Oliver Struckmeier, Ville Kyrki
2021	J	`jnl`	Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding. Frontiers Robotics AI Martin J. Pearson, Shirin Dora, Oliver Struckmeier, Thomas C. Knowles, Ben Mitchinson, Kshitij Tiwari, Ville Kyrki, Sander M. Bohté, Cyriel M. A. Pennartz
2020	J	`jnl`	Unsupervised Learning of slow features for Data Efficient Regression. CoRR Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki
2019	B	`conf`	Autonomous Generation of Robust and Focused Explanations for Robot Policies. RO-MAN Oliver Struckmeier, Mattia Racca, Ville Kyrki
2019	J	`jnl`	LeagueAI: Improving object detector performance and flexibility through automatically generated training data and domain randomization. CoRR Oliver Struckmeier
2019	J	`jnl`	MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations. CoRR Oliver Struckmeier, Kshitij Tiwari, Shirin Dora, Martin J. Pearson, Sander M. Bohté, Cyriel M. A. Pennartz, Ville Kyrki
2019	—	`conf`	ViTa-SLAM: A Bio-inspired Visuo-Tactile SLAM for Navigation while Interacting with Aliased Environments. CBS Oliver Struckmeier, Kshitij Tiwari, Mohammed Salman, Martin J. Pearson, Ville Kyrki
2019	J	`jnl`	ViTa-SLAM: A Bio-inspired Visuo-Tactile SLAM for Navigation while Interacting with Aliased Environments. CoRR Oliver Struckmeier, Kshitij Tiwari, Mohammed Salman, Martin J. Pearson, Ville Kyrki
2019	J	`jnl`	ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM. CoRR Oliver Struckmeier, Kshitij Tiwari, Martin J. Pearson, Ville Kyrki