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ORCIDOliver Struckmeier
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2020 – today
- 2024
[b1]Oliver Struckmeier:
Representation learning methods for robotic perception and learning - at the intersection of computational neuroscience and machine learning. Aalto University, Espoo, Finland, 2024- 2023
- [j4]Oliver Struckmeier
, Kshitij Tiwari, Ville Kyrki:
Autoencoding slow representations for semi-supervised data-efficient regression. Mach. Learn. 112(7): 2297-2315 (2023) - [j3]Oliver Struckmeier, Ville Kyrki:
ILPO-MP: Mode Priors Prevent Mode Collapse when Imitating Latent Policies from Observations. Trans. Mach. Learn. Res. 2023 (2023) - [j2]Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki:
Learning representations that are closed-form Monge mapping optimal with application to domain adaptation. Trans. Mach. Learn. Res. 2023 (2023) - [i8]Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki:
Beyond invariant representation learning: linearly alignable latent spaces for efficient closed-form domain adaptation. CoRR abs/2305.07500 (2023) - [i7]Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski:
Understanding deep neural networks through the lens of their non-linearity. CoRR abs/2310.11439 (2023) - 2021
- [j1]Martin J. Pearson, Shirin Dora, Oliver Struckmeier, Thomas C. Knowles, Ben Mitchinson, Kshitij Tiwari, Ville Kyrki, Sander M. Bohté, Cyriel M. A. Pennartz:
Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding. Frontiers Robotics AI 8: 732023 (2021) - [c3]Karol Arndt, Oliver Struckmeier, Ville Kyrki:
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation. IROS 2021: 1259-1266 - [i6]Karol Arndt, Oliver Struckmeier, Ville Kyrki:
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation. CoRR abs/2103.07223 (2021) - 2020
- [i5]Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki:
Unsupervised Learning of slow features for Data Efficient Regression. CoRR abs/2012.06279 (2020)
2010 – 2019
- 2019
- [c2]Oliver Struckmeier, Kshitij Tiwari, Mohammed Salman, Martin J. Pearson, Ville Kyrki:
ViTa-SLAM: A Bio-inspired Visuo-Tactile SLAM for Navigation while Interacting with Aliased Environments. CBS 2019: 97-103 - [c1]Oliver Struckmeier, Mattia Racca, Ville Kyrki:
Autonomous Generation of Robust and Focused Explanations for Robot Policies. RO-MAN 2019: 1-8 - [i4]Oliver Struckmeier, Kshitij Tiwari, Martin J. Pearson, Ville Kyrki:
ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM. CoRR abs/1904.05667 (2019) - [i3]Oliver Struckmeier:
LeagueAI: Improving object detector performance and flexibility through automatically generated training data and domain randomization. CoRR abs/1905.13546 (2019) - [i2]Oliver Struckmeier, Kshitij Tiwari, Mohammed Salman, Martin J. Pearson, Ville Kyrki:
ViTa-SLAM: A Bio-inspired Visuo-Tactile SLAM for Navigation while Interacting with Aliased Environments. CoRR abs/1906.06422 (2019) - [i1]Oliver Struckmeier, Kshitij Tiwari, Shirin Dora, Martin J. Pearson, Sander M. Bohté, Cyriel M. A. Pennartz, Ville Kyrki:
MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations. CoRR abs/1909.07201 (2019)
Coauthor Index
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