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Cantab Capital Institute for the Mathematics of Information

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  • Currently displaying 321 - 340 of 1849 publications
Learning optical flow for fast MRI reconstruction
T Schmoderer, AI Aviles-Rivero, V Corona, N Debroux, C-B Schönlieb
– Inverse Problems
(2021)
37,
095007
Symmetric distinguishability as a quantum resource
R Salzmann, N Datta, G Gour, X Wang, MM Wilde
– New Journal of Physics
(2021)
23,
083016
Radiological tumor classification across imaging modality and histology.
J Wu, C Li, M Gensheimer, S Padda, F Kato, H Shirato, Y Wei, C-B Schönlieb, SJ Price, D Jaffray, J Heymach, JW Neal, BW Loo, H Wakelee, M Diehn, R Li
– Nature Machine Intelligence
(2021)
3,
787
EQUILIBRIA OF AN ANISOTROPIC NONLOCAL INTERACTION EQUATION: ANALYSIS AND NUMERICS
JA Carrillo, B Düring, LM Kreusser, C-B Schönlieb
– Discrete and Continuous Dynamical Systems
(2021)
41,
3985
The Set of Separable States has no Finite Semidefinite Representation Except in Dimension $3\times 2$
H Fawzi
– Communications in Mathematical Physics
(2021)
386,
1319
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals
AI Malz, R Hložek, T Allam, A Bahmanyar, R Biswas, M Dai, L Galbany, EEO Ishida, SW Jha, DO Jones, R Kessler, M Lochner, AA Mahabal, KS Mandel, JR Martínez-Galarza, JD McEwen, D Muthukrishna, G Narayan, H Peiris, CM Peters, KA Ponder, CN Setzer, TLDES Collaboration, TL Transients, VSS Collaboration
(2021)
Author Correction: A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images (Nature Biomedical Engineering, (2021), 5, 6, (509-521), 10.1038/s41551-021-00704-1)
G Wang, X Liu, J Shen, C Wang, Z Li, L Ye, X Wu, T Chen, K Wang, X Zhang, Z Zhou, J Yang, Y Sang, R Deng, W Liang, T Yu, M Gao, J Wang, Z Yang, H Cai, G Lu, L Zhang, L Yang, W Xu, W Wang, A Olvera, I Ziyar, C Zhang, O Li, W Liao, J Liu, W Chen, W Chen, J Shi, L Zheng, L Zhang, Z Yan, X Zou, G Lin, G Cao, LL Lau, L Mo, Y Liang, M Roberts, E Sala, C-B Schönlieb, M Fok, JY-N Lau, T Xu, J He, K Zhang, W Li, T Lin
– Nat Biomed Eng
(2021)
5,
943
A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation
ES Riis, MJ Ehrhardt, GRW Quispel, C-B Schönlieb
– Foundations of Computational Mathematics
(2021)
22,
1351
Equivariant neural networks for inverse problems
E Celledoni, MJ Ehrhardt, C Etmann, B Owren, C-B Schönlieb, F Sherry
– Inverse Problems
(2021)
37,
085006
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning
M van Eijnatten, L Rundo, KJ Batenburg, F Lucka, E Beddowes, C Caldas, FA Gallagher, E Sala, C-B Schönlieb, R Woitek
– Computer Methods and Programs in Biomedicine
(2021)
208,
106261
Shear-induced breaking of internal gravity waves
CJ Howland, JR Taylor, CP Caulfield
– Journal of Fluid Mechanics
(2021)
921,
a24
Coherent information of a quantum channel or its complement is generically positive
S Singh, N Datta
(2021)
Efficient Global Optimization of Non-Differentiable, Symmetric Objectives for Multi Camera Placement
ML Hänel, C-B Schönlieb
– IEEE Sensors Journal
(2021)
22,
5278
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework
M Benning, MM Betcke, MJ Ehrhardt, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2021)
14,
814
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation.
H Peng, AI Aviles-Rivero, C-B Schönlieb
– CoRR
(2021)
abs/2106.03755,
72
Quantum Zeno Effect in Open Quantum Systems
S Becker, N Datta, R Salzmann
– Annales Henri Poincare
(2021)
22,
3795
Deep learning as optimal control problems ⁎ ⁎ ⁎ MB acknowledges support from the Leverhulme Trust Early Career Fellowship ECF-2016-611 ‘Learning from mistakes: a supervised feedback-loop for imaging applications’. CBS acknowledges support from the Leverhulme Trust project on Breaking the non-convexity barrier, the Philip Leverhulme Prize, the EPSRC grant No. EP/M00483X/1, the EPSRC Centre No. EP/N014588/1, the European Union Horizon 2020 research and innovation programmes under the Marie Skodowska-Curie grant agreement No. 777826 No-MADS and No. 691070 CHiPS, the Cantab Capital Institute for the Mathematics of Information and the Alan Turing Institute. We gratefully acknowledge the support of NVIDIA Corporation with the donation of a Quadro P6000 and a Titan Xp GPU used for this research. EC and BO thank the SPIRIT project (No. 231632) under the Research Council of Norway FRIPRO funding scheme. This work was supported by EPSRC grant No. EP/K032208/1.
M Benning, E Celledoni, MJ Ehrhardt, B Owren, C-B Schönlieb
– IFAC Papersonline
(2021)
54,
620
A graphical user interface framework for formal verification
EW Ayers, M Jamnik, WT Gowers
– Leibniz International Proceedings in Informatics, LIPIcs
(2021)
193,
4:1
The Schauder estimate in kinetic theory with application to a toy nonlinear model
C Imbert, C Mouhot
– Annales Henri Lebesgue
(2021)
4,
369
Structure-preserving deep learning
E CELLEDONI, MJ EHRHARDT, C ETMANN, RI MCLACHLAN, B OWREN, C-B SCHONLIEB, F SHERRY
– European Journal of Applied Mathematics
(2021)
32,
888