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  • Currently displaying 21 - 40 of 600 publications
Multi-Level Monte Carlo Training of Neural Operators.
J Rowbottom, S Fresca, P Lio, C-B Schönlieb, N Boullé
(2026)
(doi: 10.48550/arxiv.2505.12940)
(link to publication)
From Euler–Jacobi to Bogoyavlenskij and back
D Murari, N Sansonetto
– Nonlinearity
(2026)
39,
015016
(doi: 10.1088/1361-6544/ae341c)
Learning regularization functionals for inverse problems: a comparative study
J Hertrich, HS Wong, A Denker, S Ducotterd, Z Fang, M Haltmeier, Ž Kereta, E Kobler, O Leong, MS Salehi, C-B Schönlieb, J Schwab, Z Shumaylov, J Sulam, GS Wache, M Zach, Y Zhang, MJ Ehrhardt, S Neumayer
– Handbook of Numerical Analysis
(2026)
27,
85
(doi: 10.1016/bs.hna.2026.04.001)
Computer vision for extraction of environmental characteristics from street images: a scoping review of methods and applications
K Kokka, Y Huang, I Itova, CB Schönlieb, L Foley, J Woodcock, T Burgoine
– Journal of Transport & Health
(2025)
47,
102209
(doi: 10.1016/j.jth.2025.102209)
Mamba neural operator: Who wins? transformers vs. state-space models for PDEs
C-W Cheng, J Huang, Y Zhang, G Yang, C-B Schönlieb, AI Aviles-Rivero
– Journal of Computational Physics
(2025)
548,
114567
(doi: 10.1016/j.jcp.2025.114567)
Learned denoising with simulated and experimental low-dose CT data
MB Kiss, A Biguri, C-B Schönlieb, KJ Batenburg, F Lucka
– Sci Rep
(2025)
16,
835
(doi: 10.1038/s41598-025-30457-9)
HIBMatch: Hypergraph Information Bottleneck for Semi-Supervised Alzheimer's Progression
Z Deng, S Wang, AI Aviles-Rivero, Z Kourtzi, C-B Schonlieb
– IEEE J Biomed Health Inform
(2025)
30,
5100
(doi: 10.1109/JBHI.2025.3634534)
Potential Contrast: Properties, Equivalences, and Generalization to Multiple Classes
W Peaslee, A Breger, C-B Schonlieb
– 2025 33rd European Signal Processing Conference (EUSIPCO)
(2025)
716
(doi: 10.23919/eusipco63237.2025.11226174)
Laplace Learning in Wasserstein Space
MCA Oliver, M Roberts, C-B Schönlieb, M Thorpe
(2025)
(link to publication)
Principled Methods for Advancing Generative Machine Learning
Y Li
(2025)
(doi: 10.17863/CAM.130189)
Brain age prediction and early neurodegeneration detection using contrastive learning on brain biomechanics: a retrospective, multicentre study
J Träuble, LV Hiscox, CL Johnson, A Aviles-Rivero, CB Schönlieb, GS Kaminski Schierle
– Ebiomedicine
(2025)
121,
105996
(doi: 10.1016/j.ebiom.2025.105996)
Stable neural networks and connections to continuous dynamical systems
MJ Ehrhardt, D Murari, F Sherry
(2025)
(link to publication)
Brain foundation models with hypergraph dynamic adapter for brain disease analysis
Z Deng, H Wang, Z Huang, L Zhang, AI Aviles-Rivero, C Liu, J He, Z Kourtzi, C-B Schönlieb
– Pattern Recognition
(2025)
172,
112595
(doi: 10.1016/j.patcog.2025.112595)
Enhanced visualisation of concealed target objects by infrared thermography and machine learning
W Khor, Y Chen, M Roberts, F Ciampa
– Infrared Physics and Technology
(2025)
152,
106186
(doi: 10.1016/j.infrared.2025.106186)
Heading Estimation of Ships using Deep Learning and Synthetic Non-aerial Images
M Lopez, C Schönlieb, A Aviles-Rivero, R Mester, E Brekke, A Stahl
– Journal of Physics: Conference Series
(2025)
3123,
012027
(doi: 10.1088/1742-6596/3123/1/012027)
Artificial Intelligence-Led Whole Coronary Artery OCT Analysis; Validation and Identification of Drug Efficacy and Higher-Risk Plaques.
B Jessney, X Chen, S Gu, Y Huang, M Goddard, A Brown, D Obaid, M Mahmoudi, HM Garcia Garcia, SP Hoole, L Räber, F Prati, C-B Schönlieb, M Roberts, M Bennett
– Circulation Cardiovascular Imaging
(2025)
18,
e018133
(doi: 10.1161/CIRCIMAGING.125.018133)
FEM-based A-optimal sensor placement for heat source inversion from final time measurement
C Aarset, TTN Nguyen
(2025)
(link to publication)
Nested Bregman Iterations for Decomposition Problems
T Wolf, DT Driggs, K Papafitsoros, E Resmerita, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2025)
18,
1963
(doi: 10.1137/25m173123x)
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
C-W Cheng, Y Zhao, Y Cheng, JA Montoya-Zegarra, C-B Schönlieb, AI Aviles-Rivero
– Lecture Notes in Computer Science
(2025)
15970 LNCS,
304
(doi: 10.1007/978-3-032-05141-7_30)
LamiGauss: Pitching Radiative Gaussian for Sparse-View X-ray Laminography Reconstruction
C Chen, A Biguri, J-M Morel, RH Chan, C-B Schönlieb, J Li
(2025)
(link to publication)

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