Marco Aversa

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Diffusion Model

Laplace Transform

Image Synthesis

Top Venues

Trans. Mach. Learn. Res.

Publications

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 (2024)
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)
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)
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 (2023)
Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed 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 (2023)
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)
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 (2022)
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 (2022)