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  • Currently displaying 21 - 40 of 304 publications
Symplectic Neural Flows for Modeling and Discovery
P Canizares, D Murari, C-B Schönlieb, F Sherry, Z Shumaylov
(2024)
(link to publication)
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Z Deng, Y Cheng, L Liu, S Wang, R Ke, C-B Schönlieb, AI Aviles-Rivero
– IEEE Transactions on Intelligent Transportation Systems
(2024)
26,
2747
(doi: 10.1109/tits.2024.3510551)
Training Data Reconstruction: Privacy due to Uncertainty?
C Runkel, KV Gandikota, J Geiping, C-B Schönlieb, M Moeller
(2024)
(link to publication)
Neural networks for the approximation of Euler’s elastica
E Celledoni, E Çokaj, A Leone, S Leyendecker, D Murari, B Owren, RTSM de Almagro, M Stavole
– Computer Methods in Applied Mechanics and Engineering
(2024)
435,
117584
(doi: 10.1016/j.cma.2024.117584)
Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem
C Runkel, S Xiao, N Boullé, Y Chen
(2024)
(link to publication)
Parameter Choices in Haarpsi for IQA with Medical Images
C Karner, J Gröhl, I Selby, J Babar, J Beckford, TR Else, TJ Sadler, S Shahipasand, A Thavakumar, M Roberts, JHF Rudd, C-B Schönlieb, JR Weir-McCall, A Breger
– Arxiv
(2024)
00,
1
(doi: 10.1109/ISBI60581.2025.10981227)
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
L Liu, Y Cheng, Z Deng, S Wang, D Chen, X Hu, P Liò, C-B Schönlieb, A Aviles-Rivero
– Mm 2024 Proceedings of the 32nd ACM International Conference on Multimedia
(2024)
abs/2311.18839,
1265
(doi: 10.1145/3664647.3681153)
Hamiltonian Matching for Symplectic Neural Integrators
P Canizares, D Murari, C-B Schönlieb, F Sherry, Z Shumaylov
(2024)
(link to publication)
Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach
M Eliasof, D Murari, F Sherry, C-B Schönlieb
– Frontiers in Artificial Intelligence and Applications
(2024)
392,
1607
(doi: 10.3233/faia240667)
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
(2024)
(link to publication)
Parallel-in-Time Solutions with Random Projection Neural Networks
MM Betcke, LM Kreusser, D Murari
(2024)
(link to publication)
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
Y Zhang, C-W Cheng, K Yu, Z He, C-B Schönlieb, AI Aviles-Rivero
(2024)
(link to publication)
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems
C Huang, Z Wu, Y Cheng, T Zeng, C-B Schönlieb, AI Aviles-Rivero
(2024)
(link to publication)
A study on the adequacy of common IQA measures for medical images
A Breger, C Karner, I Selby, J Gröhl, S Dittmer, E Lilley, J Babar, J Beckford, TR Else, TJ Sadler, S Shahipasand, A Thavakumar, M Roberts, C-B Schönlieb
– Springer Lecture Notes in Electrical Engineering, MICAD conference (2024)
(2024)
(doi: 10.48550/arxiv.2405.19224)
(link to publication)
A study of why we need to reassess full reference image quality assessment with medical images
A Breger, A Biguri, MS Landman, I Selby, N Amberg, E Brunner, J Gröhl, S Hatamikia, C Karner, L Ning, S Dittmer, M Roberts, A-C Collaboration, C-B Schönlieb
(2024)
(doi: 10.48550/arxiv.2405.19097)
(link to publication)
Can physics-informed neural networks beat the finite element method?
TG Grossmann, UJ Komorowska, J Latz, C-B Schönlieb
– IMA Journal of Applied Mathematics Institute of Mathematics and Its Applications
(2024)
89,
143
(doi: 10.1093/imamat/hxae011)
Continuous Learned Primal Dual
C Runkel, A Biguri, C-B Schönlieb
(2024)
(link to publication)
REFORMS: Consensus-based Recommendations for Machine-learning- based Science
S Kapoor, EM Cantrell, K Peng, TH Pham, CA Bail, OE Gundersen, JM Hofman, J Hullman, MA Lones, MM Malik, P Nanayakkara, RA Poldrack, ID Raji, M Roberts, MJ Salganik, M Serra-Garcia, BM Stewart, G Vandewiele, A Narayanan
– Science advances
(2024)
10,
eadk3452
(doi: 10.1126/sciadv.adk3452)
Reducing the antigen prevalence target threshold for stopping and restarting mass drug administration for lymphatic filariasis elimination: a model-based cost-effectiveness simulation in Tanzania, India, and Haiti
MC Antony Oliver, M Graham, KM Gass, GF Medley, J Clark, EL Davis, LJ Reimer, JD King, KB Pouwels, TD Hollingsworth
– Clin Infect Dis
(2024)
78,
s160
(doi: 10.1093/cid/ciae108)
Designing stable neural networks using convex analysis and ODEs
F Sherry, E Celledoni, MJ Ehrhardt, D Murari, B Owren, C-B Schönlieb
– Physica D Nonlinear Phenomena
(2024)
463,
134159
(doi: 10.1016/j.physd.2024.134159)

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