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Moment Matching Denoising Gibbs Sampling


May 19, 2023
Mingtian Zhang, Alex Hawkins-Hooker, Brooks Paige, David Barber

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Generalized Multiple Intent Conditioned Slot Filling


May 18, 2023
Harshil Shah, Arthur Wilcke, Marius Cobzarenco, Cristi Cobzarenco, Edward Challis, David Barber

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A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study


Mar 19, 2023
Yaozhi Lu, Shahab Aslani, An Zhao, Ahmed Shahin, David Barber, Mark Emberton, Daniel C. Alexander, Joseph Jacob

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Smoothed Q-learning


Mar 15, 2023
David Barber

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Towards Healing the Blindness of Score Matching


Sep 15, 2022
Mingtian Zhang, Oscar Key, Peter Hayes, David Barber, Brooks Paige, François-Xavier Briol

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Integrated Weak Learning


Jun 19, 2022
Peter Hayes, Mingtian Zhang, Raza Habib, Jordan Burgess, Emine Yilmaz, David Barber

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* 14 pages, 4 figures 

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Improving VAE-based Representation Learning


May 28, 2022
Mingtian Zhang, Tim Z. Xiao, Brooks Paige, David Barber

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Generalization Gap in Amortized Inference


May 23, 2022
Mingtian Zhang, Peter Hayes, David Barber

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Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data


Mar 21, 2022
Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber

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* Accepted as a full paper at the Medical Imaging with Deep Learning conference (MIDL 2022) 

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Parallel Neural Local Lossless Compression


Jan 23, 2022
Mingtian Zhang, James Townsend, Ning Kang, David Barber

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