Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres. - Joshua Mitton; Simon Peter Mekhail; Miles J. Padgett; Daniele Faccio; Marco Aversa; Roderick Murray-Smith (NeurIPS, 2022)

Data Models for Dataset Drift Controls in Machine Learning With Images. - 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; et al. (CoRR, 2022)

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. - 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; et al. (NeurIPS, 2023)

Generative Fractional Diffusion Models. - Gabriel Nobis; Marco Aversa; Maximilian Springenberg; Michael Detzel; Stefano Ermon; Shinichi Nakajima; Roderick Murray-Smith; Sebastian Lapuschkin; Christoph Knochenhauer; Luis Oala; Wojciech Samek (CoRR, 2023)

Data Models for Dataset Drift Controls in Machine Learning With Optical Images. - 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; et al. (Trans. Mach. Learn. Res., 2023)

Data Models for Dataset Drift Controls in Machine Learning With Optical Images - Datasets. - 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; et al. (Zenodo, 2023)

Generative Fractional Diffusion Models. - Gabriel Nobis; Maximilian Springenberg; Marco Aversa; Michael Detzel; Rembert Daems; Roderick Murray-Smith; Shinichi Nakajima; Sebastian Lapuschkin; Stefano Ermon; Tolga Birdal; Manfred Opper; Christoph Knochenhauer; et al. (NeurIPS, 2024)

Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. - Athanasios Tragakis; Marco Aversa; Chaitanya Kaul; Roderick Murray-Smith; Daniele Faccio (NeurIPS, 2024)

State-of-the-Art Fails in the Art of Damage Detection. - Daniela Ivanova; Marco Aversa; Paul Henderson; John Williamson 001 (CoRR, 2024)

Unsupervised Segmentation by Diffusing, Walking and Cutting. - Daniela Ivanova; Marco Aversa; Paul Henderson; John Williamson 001 (CoRR, 2024)

ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage. - Daniela Ivanova; Marco Aversa; Paul Henderson; John Williamson 001 (WACV, 2025)