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Matthias Freiberger

Matthias Anton Freiberger

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2020 – today

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2024
[j4]
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Matthias Freiberger, Peter Kun, Christian Igel, Anders Sundnes Løvlie, Sebastian Risi:
Fooling Contrastive Language-Image Pre-Trained Models with CLIPMasterPrints. Trans. Mach. Learn. Res. 2024 (2024)
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Peter Kun, Matthias Anton Freiberger, Anders Sundnes Løvlie, Sebastian Risi:
GenFrame - Embedding Generative AI Into Interactive Artifacts. Conference on Designing Interactive Systems 2024
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Peter Kun, Matthias Freiberger, Sebastian Risi, Anders Sundnes Løvlie:
GenFrame: An Interactive Picture Frame Painting the Portrait of Any Girl. Conference on Designing Interactive Systems (Companion Volume) 2024
[c7]
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Louie Søs Meyer, Johanne Engel Aaen, Anitamalina Regitse Tranberg, Peter Kun, Matthias Freiberger, Sebastian Risi, Anders Sundnes Løvlie:
Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration. CHI 2024: 29:1-29:18
[i9]
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  - journals/corr/abs-2403-19174
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Louie Søs Meyer, Johanne Engel Aaen, Anitamalina Regitse Tranberg, Peter Kun, Matthias Freiberger, Sebastian Risi, Anders Sundnes Løvlie:
Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration. CoRR abs/2403.19174 (2024)
[i8]
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Peter Kun, Matthias Freiberger, Anders Sundnes Løvlie, Sebastian Risi:
AI-generated art perceptions with GenFrame - an image-generating picture frame. CoRR abs/2405.01901 (2024)
[i7]
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Matthias Freiberger, Peter Kun, Anders Sundnes Løvlie, Sebastian Risi:
LayerShuffle: Enhancing Robustness in Vision Transformers by Randomizing Layer Execution Order. CoRR abs/2407.04513 (2024)
2023
[c6]
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Shyam Sudhakaran, Miguel González Duque, Claire Glanois, Matthias Freiberger, Elias Najarro, Sebastian Risi:
Prompt-Guided Level Generation. GECCO Companion 2023: 179-182
[c5]
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Shyam Sudhakaran, Miguel González Duque, Matthias Freiberger, Claire Glanois, Elias Najarro, Sebastian Risi:
MarioGPT: Open-Ended Text2Level Generation through Large Language Models. NeurIPS 2023
[i6]
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  - journals/corr/abs-2302-05981
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Shyam Sudhakaran, Miguel González Duque, Claire Glanois, Matthias Freiberger, Elias Najarro, Sebastian Risi:
MarioGPT: Open-Ended Text2Level Generation through Large Language Models. CoRR abs/2302.05981 (2023)
[i5]
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  - journals/corr/abs-2307-03798
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Matthias Freiberger, Peter Kun, Anders Sundnes Løvlie, Sebastian Risi:
CLIPMasterPrints: Fooling Contrastive Language-Image Pre-training Using Latent Variable Evolution. CoRR abs/2307.03798 (2023)
2022
[j3]
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Maxim Bonnaerens, Matthias Freiberger, Joni Dambre:
Anchor pruning for object detection. Comput. Vis. Image Underst. 221: 103445 (2022)
[c4]
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Stefan Iacob, Matthias Freiberger, Joni Dambre:
Distance-Based Delays in Echo State Networks. IDEAL 2022: 211-222
[i4]
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  - journals/corr/abs-2208-12694
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Maxim Bonnaerens, Matthias Freiberger, Marian Verhelst, Joni Dambre:
Hardware-aware mobile building block evaluation for computer vision. CoRR abs/2208.12694 (2022)
2021
[p1]
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Joni Dambre, Andrew Katumba, Chonghuai Ma, Stijn Sackesyn, Floris Laporte, Matthias Freiberger, Peter Bienstman:
Computing with Integrated Photonic Reservoirs. Reservoir Computing 2021: 397-419
[i3]
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  - journals/corr/abs-2104-00432
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Maxim Bonnaerens, Matthias Freiberger, Joni Dambre:
Anchor Pruning for Object Detection. CoRR abs/2104.00432 (2021)
2020
[c3]
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Benedikt Vettelschoss, Matthias Freiberger, Joni Dambre:
Self-organized dynamic attractors in recurrent neural networks. ESANN 2020: 585-590

2010 – 2019

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2019
[j2]
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Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
Training Passive Photonic Reservoirs With Integrated Optical Readout. IEEE Trans. Neural Networks Learn. Syst. 30(7): 1943-1953 (2019)
[i2]
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Matthias Freiberger, Peter Bienstman, Joni Dambre:
Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping. CoRR abs/1910.13332 (2019)
2018
[c2]
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Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan:
Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing. OFC 2018: 1-3
[i1]
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  - journals/corr/abs-1810-03377
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Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
Training Passive Photonic Reservoirs with Integrated Optical Readout. CoRR abs/1810.03377 (2018)
2017
[j1]
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Andrew Katumba, Matthias Freiberger, Peter Bienstman, Joni Dambre:
A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing. Cogn. Comput. 9(3): 307-314 (2017)
[c1]
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Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre:
On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout. ICRC 2017: 1-4

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