3 citations · 7 across the 8 of their papers we have counts for
8 papers
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Quentin Bouniot, Ievgen Redko, Anton Mallasto +6
In the last decade, we have witnessed the introduction of several novel deep neural network (DNN) architectures exhibiting ever-increasing performance across diverse tasks. Explain…
Learning representations that are closed-form Monge mapping optimal with application to domain adaptation
Oliver Struckmeier, Ievgen Redko, Anton Mallasto +3
Optimal transport (OT) is a powerful geometric tool used to compare and align probability measures following the least effort principle. Despite its widespread use in machine learn…
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation
Karol Arndt, Oliver Struckmeier, Ville Kyrki
Domain adaptation is a common problem in robotics, with applications such as transferring policies from simulation to real world and lifelong learning. Performing such adaptation,…
Autoencoding Slow Representations for Semi-supervised Data Efficient Regression
Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki
The slowness principle is a concept inspired by the visual cortex of the brain. It postulates that the underlying generative factors of a quickly varying sensory signal change on a…
MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations
Oliver Struckmeier, Kshitij Tiwari, Shirin Dora +4
Extracting and binding salient information from different sensory modalities to determine common features in the environment is a significant challenge in robotics. Here we present…
ViTa-SLAM: A Bio-inspired Visuo-Tactile SLAM for Navigation while Interacting with Aliased Environments
Oliver Struckmeier, Kshitij Tiwari, Mohammed Salman +2
RatSLAM is a rat hippocampus-inspired visual Simultaneous Localization and Mapping (SLAM) framework capable of generating semi-metric topological representations of indoor and outd…
LeagueAI: Improving object detector performance and flexibility through automatically generated training data and domain randomization
Oliver Struckmeier
In this technical report I present my method for automatic synthetic dataset generation for object detection and demonstrate it on the video game League of Legends. This report fur…
ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM
Oliver Struckmeier, Kshitij Tiwari, Martin J. Pearson +1
In this work, we propose a novel, bio-inspired multi-sensory SLAM approach called ViTa-SLAM. Compared to other multisensory SLAM variants, this approach allows for a seamless multi…