Murray-Smith, Roderick

16 publications

NeurIPS 2024 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, Luis Oala, Wojciech Samek

ICMLW 2024 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, Luis Oala, Wojciech Samek

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

TMLR 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, Jerome Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti

ICMLW 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, Jerome Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti

NeurIPS 2023 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, Luis Oala

TMLR 2023 Subgraph Permutation Equivariant Networks Joshua Mitton, Roderick Murray-Smith

WACV 2023 The Fully Convolutional Transformer for Medical Image Segmentation Athanasios Tragakis, Chaitanya Kaul, Roderick Murray-Smith, Dirk Husmeier

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

ACML 2021 Max-Utility Based Arm Selection Strategy for Sequential Query Recommendations Shameem Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos Zervas

ICLR 2021 Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data Francesco Tonolini, Pablo Garcia Moreno, Andreas Damianou, Roderick Murray-Smith

JMLR 2020 Variational Inference for Computational Imaging Inverse Problems Francesco Tonolini, Jack Radford, Alex Turpin, Daniele Faccio, Roderick Murray-Smith

UAI 2019 Variational Sparse Coding Francesco Tonolini, Bjørn Sand Jensen, Roderick Murray-Smith

NeurIPS 2018 Deep, Complex, Invertible Networks for Inversion of Transmission Effects in Multimode Optical Fibres Oisín Moran, Piergiorgio Caramazza, Daniele Faccio, Roderick Murray-Smith

NeurIPS 2002 Gaussian Process Priors with Uncertain Inputs Application to Multiple-Step Ahead Time Series Forecasting Agathe Girard, Carl Edward Rasmussen, Joaquin Quiñonero Candela, Roderick Murray-Smith

NeurIPS 1998 Robot Docking Using Mixtures of Gaussians Matthew M. Williamson, Roderick Murray-Smith, Volker Hansen