Roderick Murray-Smith
11 papers · 2018–2024 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (13)
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(6)
🧭
Keyword Pioneer
🧬
Topic Evolution
🔥
Unstoppable
(7)
🚀
Conference Pioneer
💎
Century Club
(11)
❓
The Questioner
📈
Trend Setter
🗃️
Keyword Collector
(51)
Conferences
NIPS (5)
ACML (1)
ICLR (1)
JMLR (1)
MIDL (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
diffusion model
(3)
image reconstruction
(2)
latent space
(2)
image generation
(2)
generative model
(2)
sparse coding
(1)
deep learning
(1)
bayesian learning
(1)
medical image segmentation
(1)
text-to-image generation
(1)
variational inference
(1)
image super-resolution
(1)
regret minimization
(1)
arm selection
(1)
multi-armed bandit
(1)
score matching
(1)
image synthesis
(1)
online learning
(1)
inverse problem
(1)
zero-shot learning
(1)
Papers
Generative Fractional Diffusion Models
NIPS 2024
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.
NIPS 2024
The Fully Convolutional Transformer for Medical Image Segmentation
WACV 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
NIPS 2023
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres
NIPS 2022
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
ACML 2021
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data
ICLR 2021
Variational Inference for Computational Imaging Inverse Problems
JMLR 2020
PathologyGAN: Learning deep representations of cancer tissue
MIDL 2020
Variational Sparse Coding
UAI 2019
Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres
NIPS 2018