skip to content

Cantab Capital Institute for the Mathematics of Information

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 121 - 140 of 1999 publications
Modelling dispersion in stratified turbulent flows as a resetting process
N Petropoulos, SM de Bruyn Kops, C-CP Caulfield
– Journal of Fluid Mechanics
(2025)
1002,
a48
Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion
X Xing, C Tang, S Murdoch, G Papanastasiou, Y Guo, X Xiao, J Cross-Zamirski, C-B Schönlieb, KX Liang, Z Niu, EF Fang, Y Wang, G Yang
– Neurocomputing
(2025)
612,
128715
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, C-B Schonlieb
– IEEE transactions on neural networks and learning systems
(2025)
36,
147
Maximum entropy on the mean and the Cramér rate function in statistical estimation and inverse problems: properties, models, and algorithms
Y Vaisbourd, R Choksi, A Goodwin, T Hoheisel, C-B Schönlieb
– Mathematical Programming
(2025)
214,
441
Inverse Evolution Layers: Physics-Informed Regularizers for Image Segmentation
C Liu, Z Qiao, C Li, C-B Schönlieb
– SIAM Journal on Mathematics of Data Science
(2025)
7,
55
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach
E Gal, M Eliasof, CB Schönlieb, II Kyrchei, E Haber, E Treister
– Transactions on Machine Learning Research
(2025)
2025-November,
G-Adaptivity: optimised graph-based mesh relocation for finite element methods
J Rowbottom, G Maierhofer, T Deveney, E Mueller, A Paganini, K Schratz, P Lio, C-B Schonlieb, C Budd
– Proceedings of Machine Learning Research
(2025)
267,
52173
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
(2025)
1372,
451
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
BJ Franks, M Eliasof, S Cantürk, G Wolf, CB Schönlieb, S Fellenz, M Kloft
– Transactions on Machine Learning Research
(2025)
2025-February,
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds
J Lee, X Cai, CB Schönlieb, S Masnou
– Transactions on Machine Learning Research
(2025)
2025-June,
Kinetic Theory
C Villani, C Mouhot
(2025)
428
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
W Diepeveen, G Batzolis, Z Shumaylov, CB Schönlieb
– Proceedings of Machine Learning Research
(2025)
267,
13746
Preface
TA Bubba, R Gaburro, S Gazzola, K Papafitsoros, M Pereyra, CB Schönlieb
– Lecture Notes in Computer Science
(2025)
15668 LNCS,
v
ESTIMATION OF SINGLE-CELL AND TISSUE PERTURBATION EFFECT IN SPATIAL TRANSCRIPTOMICS VIA SPATIAL CAUSAL DISENTANGLEMENT
S Megas, DG Chen, K Polanski, M Eliasof, CB Schönlieb, SA Teichmann
– 13th International Conference on Learning Representations Iclr 2025
(2025)
82875
Control of instability in a Vlasov-Poisson system through an external electric field.
L Einkemmer, Q Li, C Mouhot, Y Yue
– J. Comput. Phys.
(2025)
530,
113904
LIE ALGEBRA CANONICALIZATION: EQUIVARIANT NEURAL OPERATORS UNDER ARBITRARY LIE GROUPS
Z Shumaylov, P Zaika, J Rowbottom, F Sherry, M Weber, CB Schönlieb
– 13th International Conference on Learning Representations Iclr 2025
(2025)
13401
Preface
TA Bubba, R Gaburro, S Gazzola, K Papafitsoros, M Pereyra, CB Schönlieb
– Lecture Notes in Computer Science
(2025)
15667 LNCS,
v
Graph Adaptive Autoregressive Moving Average Models
M Eliasof, A Gravina, A Ceni, C Gallicchio, D Bacciu, C-B Schonlieb
– Proceedings of Machine Learning Research
(2025)
267,
15232
A consistency-stability approach to scaling limits of zero-range processes
D Marahrens, A Menegaki, C Mouhot
(2024)
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