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  • Currently displaying 1 - 20 of 312 publications
Publisher Correction: The curious case of the test set AUROC
M Roberts, A Hazan, S Dittmer, JHF Rudd, C-B Schönlieb
– Nature Machine Intelligence
(2024)
1
(doi: 10.1038/s42256-024-00834-6)
Non-contact, portable and stand-off infrared thermal imager for security scanning applications
W Khor, YK Chen, M Roberts, F Ciampa
– AIP Advances
(2024)
14,
(doi: 10.1063/5.0188862)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification
P Sellars, AI Aviles-Rivero, C-B Schonlieb
– IEEE Transactions on Neural Networks and Learning Systems
(2024)
35,
5306
(doi: 10.1109/tnnls.2022.3203315)
Randomized Nyström approximation of non-negative self-adjoint operators
D Persson, N Boullé, D Kressner
(2024)
(link to publication)
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
AI Aviles-Rivero, C-W Cheng, Z Deng, Z Kourtzi, C-B Schönlieb
(2024)
(link to publication)
Pulling back symmetric Riemannian geometry for data analysis
W Diepeveen
(2024)
(link to publication)
The curious case of the test set AUROC
M Roberts, A Hazan, S Dittmer, JHF Rudd, CB Schönlieb
– Nature Machine Intelligence
(2024)
1
(doi: 10.1038/s42256-024-00817-7)
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)
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
TJB Liu, N Boullé, R Sarfati, CJ Earls
(2024)
(link to publication)
Operator learning without the adjoint
N Boullé, D Halikias, SE Otto, A Townsend
(2024)
(link to publication)
On the Convergence of Hermitian Dynamic Mode Decomposition
N Boullé, MJ Colbrook
(2024)
(doi: 10.48550/arxiv.2401.03192)
(link to publication)
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
(doi: 10.1155/2023/2868112)
A Mathematical Guide to Operator Learning
N Boullé, A Townsend
(2023)
(link to publication)
Multivariate rational approximation of functions with curves of singularities
N Boullé, A Herremans, D Huybrechs
(2023)
(link to publication)
The curious case of the test set AUROC
M Roberts, A Hazan, S Dittmer, JHF Rudd, C-B Schönlieb
(2023)
(doi: 10.48550/arxiv.2312.16188)
(link to publication)
Dynamical Systems–Based Neural Networks
E Celledoni, D Murari, B Owren, CB Schonlieb, F Sherry
– SIAM Journal on Scientific Computing
(2023)
45,
a3071
(doi: 10.1137/22m1527337)
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
(doi: 10.1016/j.finel.2023.104045)
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)
(link to publication)
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
Z Shen, Y Cheng, RH Chan, P Liò, C-B Schönlieb, AI Aviles-Rivero
(2023)
(link to publication)
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
(doi: 10.1109/tnnls.2023.3332003)

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