Matthias Freiberger

According to our database, Matthias Freiberger authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration.

Louie Søs Meyer, Johanne Engel Aaen, Anitamalina Regitse Tranberg, Peter Kun, Matthias Freiberger, Sebastian Risi, Anders Sundnes Løvlie

CoRR, 2024

2023

CLIPMasterPrints: Fooling Contrastive Language-Image Pre-training Using Latent Variable Evolution.

Matthias Freiberger, Peter Kun, Anders Sundnes Løvlie, Sebastian Risi

CoRR, 2023

MarioGPT: Open-Ended Text2Level Generation through Large Language Models.

Shyam Sudhakaran, Miguel González Duque, Matthias Freiberger, Claire Glanois, Elias Najarro, Sebastian Risi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompt-Guided Level Generation.

Shyam Sudhakaran, Miguel González Duque, Claire Glanois, Matthias Freiberger, Elias Najarro, Sebastian Risi

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Anchor pruning for object detection.

Maxim Bonnaerens, Matthias Freiberger, Joni Dambre

Comput. Vis. Image Underst., 2022

Hardware-aware mobile building block evaluation for computer vision.

Maxim Bonnaerens, Matthias Freiberger, Marian Verhelst, Joni Dambre

CoRR, 2022

Distance-Based Delays in Echo State Networks.

Stefan Iacob, Matthias Freiberger, Joni Dambre

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021

Computing with Integrated Photonic Reservoirs.

Joni Dambre, Andrew Katumba, Chonghuai Ma, Stijn Sackesyn, Floris Laporte, Matthias Freiberger, Peter Bienstman

Proceedings of the Reservoir Computing, 2021

2020

Self-organized dynamic attractors in recurrent neural networks.

Benedikt Vettelschoss, Matthias Freiberger, Joni Dambre

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Training Passive Photonic Reservoirs With Integrated Optical Readout.

Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre

IEEE Trans. Neural Networks Learn. Syst., 2019

Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping.

Matthias Freiberger, Peter Bienstman, Joni Dambre

CoRR, 2019

2018

Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing.

Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan

Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

2017

A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing.

Andrew Katumba, Matthias Freiberger, Peter Bienstman, Joni Dambre

Cogn. Comput., 2017

On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout.

Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre

Proceedings of the IEEE International Conference on Rebooting Computing, 2017