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2020 – today
- 2024
[i8]Athanasios Tragakis, Marco Aversa
, Chaitanya Kaul, Roderick Murray-Smith, Daniele Faccio:
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. CoRR abs/2406.07251 (2024)- [i7]Daniela Ivanova, Marco Aversa, Paul Henderson, John Williamson:
State-of-the-Art Fails in the Art of Damage Detection. CoRR abs/2408.12953 (2024) - [i6]Daniela Ivanova, Marco Aversa, Paul Henderson, John Williamson:
ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage. CoRR abs/2412.04580 (2024) - [i5]Daniela Ivanova, Marco Aversa, Paul Henderson, John Williamson:
Unsupervised Segmentation by Diffusing, Walking and Cutting. CoRR abs/2412.04678 (2024) - 2023
- [j1]Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti:
Data Models for Dataset Drift Controls in Machine Learning With Optical Images. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala:
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. NeurIPS 2023 - [d1]Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti:
Data Models for Dataset Drift Controls in Machine Learning With Optical Images - Datasets. Zenodo, 2023
- [i4]Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala:
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. CoRR abs/2306.13384 (2023) - [i3]Gabriel Nobis, Marco Aversa, Maximilian Springenberg, Michael Detzel, Stefano Ermon, Shinichi Nakajima, Roderick Murray-Smith, Sebastian Lapuschkin, Christoph Knochenhauer, Luis Oala, Wojciech Samek:
Generative Fractional Diffusion Models. CoRR abs/2310.17638 (2023) - 2022
- [c1]Joshua Mitton, Simon Peter Mekhail, Miles J. Padgett, Daniele Faccio, Marco Aversa, Roderick Murray-Smith:
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres. NeurIPS 2022 - [i2]Joshua Mitton, Simon Peter Mekhail, Miles J. Padgett, Daniele Faccio, Marco Aversa, Roderick Murray-Smith:
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres. CoRR abs/2207.12849 (2022) - [i1]Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti:
Data Models for Dataset Drift Controls in Machine Learning With Images. CoRR abs/2211.02578 (2022)
Coauthor Index
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