skip to content
 

Tips on using this search form

  • All search terms are case-insensitive
  • If you specify more than one search option (e.g. you search for both "Authors" and "Paper title") then the publications returned will be those that match all of your search terms
  • To reset the search form, click here
  • Currently displaying 1 - 20 of 306 publications
Pulling back symmetric Riemannian geometry for data analysis
W Diepeveen
(2024)
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
A Bryutkin, J Huang, Z Deng, G Yang, C-B Schönlieb, A Aviles-Rivero
(2024)
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
TJB Liu, N Boullé, R Sarfati, CJ Earls
(2024)
Operator learning without the adjoint
N Boullé, D Halikias, SE Otto, A Townsend
(2024)
On the Convergence of Hermitian Dynamic Mode Decomposition
N Boullé, MJ Colbrook
(2024)
Modeling of a Liquid Leaf Target TNSA Experiment Using Particle-In-Cell Simulations and Deep Learning
B Schmitz, D Kreuter, O Boine-Frankenheim
– Laser and Particle Beams
(2024)
2023,
1
A Mathematical Guide to Operator Learning
N Boullé, A Townsend
(2023)
Multivariate rational approximation of functions with curves of singularities
N Boullé, A Herremans, D Huybrechs
(2023)
The curious case of the test set AUROC
M Roberts, A Hazan, S Dittmer, JHF Rudd, C-B Schönlieb
(2023)
Dynamical Systems–Based Neural Networks
E Celledoni, D Murari, B Owren, CB Schonlieb, F Sherry
– SIAM Journal on Scientific Computing
(2023)
45,
a3071
Adaptive mixed FEM combined with the method of characteristics for stationary convection–diffusion–reaction problems
MC Antony Oliver, M González
– Finite Elements in Analysis and Design
(2023)
227,
104045
Single-Shot Plug-and-Play Methods for Inverse Problems
Y Cheng, L Zhang, Z Shen, S Wang, L Yu, RH Chan, C-B Schönlieb, AI Aviles-Rivero
(2023)
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
Z Shen, Y Cheng, RH Chan, P Liò, C-B Schönlieb, AI Aviles-Rivero
(2023)
Contrastive Registration for Unsupervised Medical Image Segmentation.
L Liu, AI Aviles-Rivero, C-B Schonlieb
– IEEE Transactions on Neural Networks and Learning Systems
(2023)
PP,
1
Traffic Video Object Detection using Motion Prior
L Liu, Y Cheng, D Chen, J He, P Liò, C-B Schönlieb, AI Aviles-Rivero
(2023)
Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks
M Eliasof, D Murari, F Sherry, C-B Schönlieb
(2023)
Multi-Modal Learning for Predicting the Genotype of Glioma.
Y Wei, X Chen, L Zhu, L Zhang, C-B Schonlieb, S Price, C Li
– IEEE Trans Med Imaging
(2023)
42,
1
Recent Methodological Advances in Federated Learning for Healthcare
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, B Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
(2023)
Elliptic PDE learning is provably data-efficient.
N Boullé, D Halikias, A Townsend
– Proc Natl Acad Sci U S A
(2023)
120,
e2303904120
The Impact of Imputation Quality on Machine Learning Classifier Performance for Datasets with Missing Values
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torné, E Sala, P Lió, M Patel, J Preller, AIX-COVNET Collaboration, JHF Rudd, T Mirtti, AS Rannikko, JAD Aston, J Tang, C-B Schönlieb
– Communications medicine
(2023)
3,
139