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Cantab Capital Institute for the Mathematics of Information

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  • Currently displaying 121 - 140 of 2028 publications
Modelling dispersion in stratified turbulent flows as a resetting process
C-C Caulfield, N Petropoulos, S de Bruyn Kops
(2025)
(doi: 10.5194/egusphere-egu25-14086)
A Lagrangian view of mixing in stratified shear flows
X Zhou, J Taylor, C-C Caulfield
(2025)
(doi: 10.5194/egusphere-egu25-7453)
TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets
A Biguri, T Sadakane, R Lindroos, Y Liu, MS Landman, Y Du, M Lohvithee, S Kaser, S Hatamikia, R Bryll, E Valat, S Wonglee, T Blumensath, C-B Schönlieb
– Engineering Research Express
(2025)
7,
015011
(doi: 10.1088/2631-8695/adbb3a)
Domain generalization and punch mark classification
W Peaslee, L Wrapson, C-B Schönlieb
– Journal of Cultural Heritage
(2025)
72,
226
(doi: 10.1016/j.culher.2025.02.001)
On a conjecture of Marton
WT Gowers, B Green, F Manners, T Tao
– Annals of Mathematics
(2025)
201,
515
(doi: 10.4007/annals.2025.201.2.5)
On the caveats of AI autophagy
X Xing, F Shi, J Huang, Y Wu, Y Nan, S Zhang, Y Fang, M Roberts, C-B Schönlieb, J Del Ser, G Yang
– Nature Machine Intelligence
(2025)
7,
172
(doi: 10.1038/s42256-025-00984-1)
Conscious and unconscious processes in vision and homeostasis.
AS Fokas, NK Logothetis
– Frontiers in Behavioral Neuroscience
(2025)
19,
1516127
(doi: 10.3389/fnbeh.2025.1516127)
The Troublesome Kernel: On Hallucinations, No Free Lunches, and the Accuracy-Stability Tradeoff in Inverse Problems
NM Gottschling, V Antun, AC Hansen, B Adcock
– SIAM Asa Journal on Uncertainty Quantification
(2025)
67,
73
(doi: 10.1137/23M1568739)
The Troublesome Kernel: On Hallucinations, No Free Lunches, and the Accuracy-Stability Tradeoff in Inverse Problems
A Hansen
– SIAM Review
(2025)
(doi: 10.1137/23M1568739)
A Pipeline for Automated Quality Control of Chest Radiographs
IA Selby, E González Solares, A Breger, M Roberts, L Escudero Sánchez, J Babar, JHF Rudd, NA Walton, E Sala, C-B Schönlieb, JR Weir-McCall, AIX-COVNET Collaboration
– Radiol Artif Intell
(2025)
7,
e240003
(doi: 10.1148/ryai.240003)
Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey
A Essakine, Y Cheng, CW Cheng, L Zhang, Z Deng, L Zhu, CB Schönlieb, AI Aviles-Rivero
– Transactions on Machine Learning Research
(2025)
2025-February,
1
Tight relations and equivalences between smooth relative entropies
B Regula, L Lami, N Datta
(2025)
(link to publication)
  Prandtl Number Effects on Extreme Mixing Events in Forced Stratified Turbulence
C-CP Caulfield, N Petropoulos, MMP Couchman, S de Bruyn Kops, A Mashayek
(2025)
(doi: 10.5194/egusphere-egu24-3494)
Evidence Communication Rules for Policy (ECR-P) critical appraisal tool
E Danopoulos, JAD Aston, A Shah, CR Schneider
– Systematic Reviews
(2025)
14,
10
(doi: 10.1186/s13643-025-02757-8)
Modelling dispersion in stratified turbulent flows as a resetting process
N Petropoulos, SM de Bruyn Kops, C-CP Caulfield
– Journal of Fluid Mechanics
(2025)
1002,
a48
(doi: 10.1017/jfm.2024.1194)
Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion
X Xing, C Tang, S Murdoch, G Papanastasiou, Y Guo, X Xiao, J Cross-Zamirski, C-B Schönlieb, KX Liang, Z Niu, EF Fang, Y Wang, G Yang
– Neurocomputing
(2025)
612,
128715
(doi: 10.1016/j.neucom.2024.128715)
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, C-B Schonlieb
– IEEE Transactions on Neural Networks and Learning Systems
(2025)
36,
147
(doi: 10.1109/tnnls.2023.3332003)
Maximum entropy on the mean and the Cramér rate function in statistical estimation and inverse problems: properties, models, and algorithms
Y Vaisbourd, R Choksi, A Goodwin, T Hoheisel, C-B Schönlieb
– Mathematical Programming
(2025)
214,
441
(doi: 10.1007/s10107-024-02189-7)
Inverse Evolution Layers: Physics-Informed Regularizers for Image Segmentation
C Liu, Z Qiao, C Li, C-B Schönlieb
– SIAM Journal on Mathematics of Data Science
(2025)
7,
55
(doi: 10.1137/24m1633662)
Graph Adaptive Autoregressive Moving Average Models
M Eliasof, A Gravina, A Ceni, C Gallicchio, D Bacciu, C-B Schonlieb
– Proceedings of Machine Learning Research
(2025)
267,
15232
(link to publication)

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