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  • Currently displaying 41 - 60 of 1600 publications
Multi-Level Monte Carlo training of neural operators
J Rowbottom, S Fresca, P Lio, C-B Schönlieb, N Boullé
– Computer Methods in Applied Mechanics and Engineering
(2026)
453,
118800
(doi: 10.1016/j.cma.2026.118800)
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI.
P Arratia, MJ Graves, M McLean, C Pirkl, C-B Schönlieb, T Schirmer, F Wiesinger, MJ Ehrhardt
– Advanced science (Weinheim, Baden-Wurttemberg, Germany)
(2026)
e19788
(doi: 10.1002/advs.202519788)
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)
Optimal convex M-estimation via score matching
OY Feng, Y-C Kao, M Xu, RJ Samworth
– Annals of Statistics
(2026)
54,
408
(doi: 10.1214/25-AOS2572)
Efficient and Minimax Optimal In-context Nonparametric Regression with Transformers
M Ching, I Popescu, N Smith, T Ma, WG Underwood, RJ Samworth
(2026)
(link to publication)
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)
On generalized hardness of approximation, hallucinations, instability, and trustworthiness in AI for inverse problems
A Bastounis, AC Hansen
– Handbook of Numerical Analysis
(2026)
27,
507
(doi: 10.1016/bs.hna.2026.05.001)
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 and Health
(2025)
47,
102209
(doi: 10.1016/j.jth.2025.102209)
Data-driven controlled subgroup selection in clinical trials
MM Müller, B Bornkamp, F Bretz, TI Cannings, W Liu, HWJ Reeve, RJ Samworth, N Sfikas, F Wan, K Sechidis
(2025)
(link to publication)
Learning the score under shape constraints
RM Lewis, OY Feng, HWJ Reeve, M Xu, RJ Samworth
(2025)
(link to publication)
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)
Higher-order diffusion and Cahn-Hilliard-type models revisited on the half-line
A Chatziafratis, A Miranville, G Karali, AS Fokas, EC Aifantis
(2025)
(link to publication)
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)
Do stable neural networks exist for classification problems? – A new view on stability in AI
D Liu, A Hansen
– European Journal of Applied Mathematics
(2025)
37,
238
(doi: 10.1017/s0956792525100181)
Instability in deep learning - when algorithms cannot compute uncertainty quantifications for neural networks
LE Gazdag, V Antun, AC Hansen
– European Journal of Applied Mathematics
(2025)
37,
290
(doi: 10.1017/S095679252510017X)
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)
The mathematics of adversarial attacks in AI – why deep learning is unstable despite the existence of stable neural networks
A Bastounis, A Hansen, V Vlačić
– European Journal of Applied Mathematics
(2025)
37,
259
(doi: 10.1017/s0956792525100193)
Potential Contrast: Properties, Equivalences, and Generalization to Multiple Classes
W Peaslee, A Breger, C-B Schonlieb
– European Signal Processing Conference
(2025)
716
(doi: 10.23919/EUSIPCO63237.2025.11226174)
Interpretable and Reproducible Machine Learning Model for Coronary Calcification and Segment-Level Stenoses Stratification on Computed Tomography Angiography
J Chen, H Wang, Y Wei, Y Xu, G Wang, Y Li, Z Gao, K Li, X Zhou, J Zheng, Z Wang, Y Huang, Z Teng, JHF Rudd, L Escudero Sánchez, MC Williams, DE Newby, JR Weir-McCall
– BMC Med
(2025)
23,
657
(doi: 10.1186/s12916-025-04478-0)
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)

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