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 321 - 340 of 1999 publications
Orthogonal systems for time-dependent spectral methods.
A Iserles
– CoRR
(2023)
abs/2302.04217,
A Continuous-time Stochastic Gradient Descent Method for Continuous Data
K Jin, J Latz, C Liu, CB Schönlieb
– Journal of Machine Learning Research
(2023)
24,
Image Reconstruction in Dynamic Inverse Problems with Temporal Models
A Hauptmann, O Öktem, C Schönlieb
(2023)
1707
Spectrum inference for replicated spatial locally time-harmonizable time series
J Aston, D Dehay, AE Dudek, J-M Freyermuth, D Szucs, L Colling
– Electronic Journal of Statistics
(2023)
17,
1371
What makes mathematicians believe unproved mathematical statements?
T Gowers
– Annals of Mathematics and Philosophy
(2023)
1,
57
Learning Posterior Distributions in Underdetermined Inverse Problems
C Runkel, M Moeller, C-B Schönlieb, C Etmann
(2023)
14009 LNCS,
187
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning
D Chen, M Davies, MJ Ehrhardt, C-B Schnlieb, F Sherry, J Tachella
– IEEE Signal Processing Magazine
(2023)
40,
134
Nonlocal correlations are generic in infinite-dimensional bipartite systems
H Halvorson, A Kent
(2023)
335
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications
S Mukherjee, A Hauptmann, O ktem, M Pereyra, C-B Schnlieb
– IEEE Signal Processing Magazine
(2023)
40,
164
Simulating quantum mechanics by non-contextual hidden variables
A Kent
(2023)
395
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision
(2023)
1
Peclet-number dependence of optimal mixing strategies identified using multiscale norms
C Heffernan, C-CP Caulfield
– Physica D Nonlinear Phenomena
(2023)
443,
133550
On skyburst polynomials and their zeros
M Jose Cantero, A Iserles
– Dolomites Research Notes on Approximation
(2023)
16,
31
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data.
D Kreuter, S Tull, JD Gilbey, J Preller, B Consortium, JAD Aston, JHF Rudd, S Sivapalaratnam, C-B Schönlieb, NS Gleadall, M Roberts
– CoRR
(2023)
abs/2306.09177,
Quantitative fluid approximation in transport theory: a unified approach
É Bouin, C Mouhot
– Probability and Mathematical Physics
(2022)
3,
491
Approximation of Wave Packets on the Real Line
A Iserles, K Luong, M Webb
– Constructive Approximation
(2022)
58,
199
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.
M Yeung, L Rundo, Y Nan, E Sala, C-B Schönlieb, G Yang
– Journal of Imaging Informatics in Medicine
(2022)
36,
739
Functional random effects modeling of brain shape and connectivity
E Lila, JAD Aston
– Annals of Applied Statistics
(2022)
16,
A consistence-stability approach to hydrodynamic limit of interacting particle systems on lattices
A Menegaki, C Mouhot
(2022)
Sobolev-orthogonal systems with tridiagonal skew-Hermitian differentiation matrices
A Iserles, M Webb
– CoRR
(2022)
150,
420