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  • Currently displaying 201 - 220 of 1849 publications
Friendly thoughts on thoughtful friendliness
A Kent
(2023)
(doi: 10.48550/arxiv.2302.12707)
Spectral decomposition of atomic structures in heterogeneous cryo-EM
C Esteve-Yagüe, W Diepeveen, O Öktem, C-B Schönlieb
– Inverse Problems
(2023)
39,
034003
(doi: 10.1088/1361-6420/acb2ba)
The DEHVILS Survey Overview and Initial Data Release: High-Quality Near-Infrared Type Ia Supernova Light Curves at Low Redshift
ER Peterson, DO Jones, D Scolnic, BO Sánchez, A Do, AG Riess, SM Ward, A Dwomoh, TD Jaeger, SW Jha, KS Mandel, JDR Pierel, B Popovic, BM Rose, D Rubin, BJ Shappee, S Thorp, JL Tonry, RB Tully, M Vincenzi
(2023)
(link to publication)
Bouncing behaviour of a particle settling through a density transition layer
S Wang, P Kandel, J Deng, CP Caulfield, SB Dalziel
(2023)
(link to publication)
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
(doi: 10.1214/23-ejs2130)
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,
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
(doi: 10.1109/MSP.2022.3205430)
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
(doi: 10.1109/msp.2022.3207451)
Nonlocal correlations are generic in infinite-dimensional bipartite systems
H Halvorson, A Kent
(2023)
335
Simulating quantum mechanics by non-contextual hidden variables
A Kent
(2023)
395
Orthogonal systems for time-dependent spectral methods.
A Iserles
– CoRR
(2023)
abs/2302.04217,
On skyburst polynomials and their zeros
M Jose Cantero, A Iserles
– Dolomites Research Notes on Approximation
(2023)
16,
31
(doi: 10.14658/PUPJ-DRNA-2023-1-4)
Péclet-number dependence of optimal mixing strategies identified using multiscale norms
C Heffernan, C-CP Caulfield
– Physica D: Nonlinear Phenomena
(2023)
443,
133550
(doi: 10.1016/j.physd.2022.133550)
Learning Posterior Distributions in Underdetermined Inverse Problems
C Runkel, M Moeller, C-B Schönlieb, C Etmann
(2023)
14009 LNCS,
187
(doi: 10.1007/978-3-031-31975-4_15)
Quantitative fluid approximation in transport theory: a unified approach
É Bouin, C Mouhot
– Probability and Mathematical Physics
(2022)
3,
491
(doi: 10.2140/pmp.2022.3.491)
Approximation of Wave Packets on the Real Line
A Iserles, K Luong, M Webb
– Constructive Approximation
(2022)
58,
199
(doi: 10.1007/s00365-022-09605-1)
Functional random effects modeling of brain shape and connectivity
E Lila, JAD Aston
– The Annals of Applied Statistics
(2022)
16,
(doi: 10.1214/21-aoas1572)
A consistence-stability approach to hydrodynamic limit of interacting particle systems on lattices
A Menegaki, C Mouhot
(2022)
(link to publication)
Sobolev-orthogonal systems with tridiagonal skew-Hermitian differentiation matrices
A Iserles, M Webb
– CoRR
(2022)
150,
420
(doi: 10.1111/sapm.12544)
Introducing JFM Notebooks
C Meneveau, C-CP Caulfield
– Journal of Fluid Mechanics
(2022)
952,
e1
(doi: 10.1017/jfm.2022.903)

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