Roderick Murray-Smith
11 papers · 2018–2024 · 7 venues · across top CS/AI venues
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Achievements
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Deep Learning
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diffusion model
(3)
image reconstruction
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generative model
(2)
variational inference
(2)
image generation
(2)
latent space
(2)
bayesian learning
(1)
medical image segmentation
(1)
zero-shot learning
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text-to-image generation
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multi-armed bandit
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deep learning
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image super-resolution
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regret minimization
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online learning
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cumulative regret
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image synthesis
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score matching
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arm selection
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sparse coding
(1)
Papers
Generative Fractional Diffusion Models
NeurIPS 2024
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.
NeurIPS 2024
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
NeurIPS 2023
The Fully Convolutional Transformer for Medical Image Segmentation
WACV 2023
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres
NeurIPS 2022
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
ACML 2021
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data
ICLR 2021
PathologyGAN: Learning deep representations of cancer tissue
MIDL 2020
Variational Inference for Computational Imaging Inverse Problems
JMLR 2020
Variational Sparse Coding
UAI 2019
Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres
NeurIPS 2018