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  • Currently displaying 161 - 180 of 600 publications
Bi-level iterative regularization for inverse problems in nonlinear PDEs
TTN Nguyen
– Inverse Problems
(2024)
40,
045020
(doi: 10.1088/1361-6420/ad2905)
Ground truth free denoising by optimal transport
S Dittmer, C-B Schönlieb, P Maass
– Numerical Algebra, Control and Optimization
(2024)
14,
35
(doi: 10.3934/naco.2022017)
A linear transportation L p distance for pattern recognition
OM Crook, M Cucuringu, T Hurst, C-B Schönlieb, M Thorpe, KC Zygalakis
– Pattern Recognition
(2024)
147,
110080
(doi: 10.1016/j.patcog.2023.110080)
Inferring solar differential rotation and viscosity via passive imaging with inertial waves
TTN Nguyen, T Hohage, D Fournier, L Gizon
(2024)
(link to publication)
The curious case of the test set AUROC
M Roberts, A Hazan, S Dittmer, JHF Rudd, C-B Schönlieb
– Nature Machine Intelligence
(2024)
6,
373
(doi: 10.1038/s42256-024-00817-7)
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI
S Saitta, M Carioni, S Mukherjee, C-B Schönlieb, A Redaelli
– Computer methods and programs in biomedicine
(2024)
246,
108057
(doi: 10.1016/j.cmpb.2024.108057)
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
A Bryutkin, J Huang, Z Deng, G Yang, C-B Schönlieb, A Aviles-Rivero
(2024)
(link to publication)
Continuous Learned Primal Dual
C Runkel, A Biguri, C-B Schönlieb
– 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)
(2024)
00,
1
(doi: 10.1109/mlsp58920.2024.10734760)
Rapid artefact removal and H&E-stained tissue segmentation
BA Schreiber, J Denholm, F Jaeckle, MJ Arends, KM Branson, C-B Schönlieb, EJ Soilleux
– Sci Rep
(2024)
14,
309
(doi: 10.1038/s41598-023-50183-4)
The Missing U for Efficient Diffusion Models
S Calvo-Ordoñez, CW Cheng, J Huang, L Zhang, G Yang, CB Schönlieb, AI Aviles-Rivero
– Transactions on Machine Learning Research
(2024)
2024,
GRANOLA: Adaptive Normalization for Graph Neural Networks
M Eliasof, B Bevilacqua, CB Schönlieb, H Maron
– Advances in Neural Information Processing Systems
(2024)
37,
\Gamma-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation
I Fonseca, LM Kreusser, C-B Schoenlieb, M Thorpe
– Indiana University Mathematics Journal
(2024)
73,
189
(doi: 10.1512/iumj.2024.73.9777)
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
HY Tan, Z Cai, M Pereyra, S Mukherjee, J Tang, CB Schönlieb
– Transactions on Machine Learning Research
(2024)
2024,
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
M Eliasof, E Haber, E Treister, C-B Schonlieb
– INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 238
(2024)
238,
1792
(link to publication)
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
JP Stanczuk, G Batzolis, T Deveney, CB Schönlieb
– Proceedings of Machine Learning Research
(2024)
235,
46412
DIGRAF: Diffeomorphic Graph-Adaptive Activation Function
KSI Mantri, XA Wang, C-B Schonlieb, B Ribeiro, B Bevilacqua, M Eliasof
– Advances in Neural Information Processing Systems
(2024)
37,
(link to publication)
Single-Shot Plug-and-Play Methods for Inverse Problems
Y Cheng, L Zhang, Z Shen, S Wang, L Yu, RH Chan, CB Schönlieb, AI Aviles-Rivero
– Transactions on Machine Learning Research
(2024)
2024,
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
Z Shumaylov, J Budd, S Mukherjee, CB Schönlieb
– Proceedings of Machine Learning Research
(2024)
235,
45286
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Z Deng, R Ke, CB Schönlieb, AI Aviles-Rivero
– Transactions on Machine Learning Research
(2024)
2024,
Continuous U-Net: Faster, Greater and Noiseless
CW Cheng, C Runkel, L Liu, RH Chan, CB Schönlieb, AI Aviles-Rivero
– Transactions on Machine Learning Research
(2024)
2024,

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