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Umeå University
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Publications

Publications

Personalized models and optimization in federated learning
Research report in mathematical statistics
Dadras, Ali
Optimal placement of ambulance stations using data-driven direct and surrogate search methods
International Journal of Medical Informatics, Elsevier 2025, Vol. 196
Bozorgmanesh, Hassan; Rydén, Patrik
Optimization dynamics of equivariant and augmented neural networks
Transactions on Machine Learning Research
Nordenfors, Oskar; Ohlsson, Fredrik; Flinth, Axel
Nature's master of ceremony: The Populus circadian clock as orchestratot of tree growth and phenology
Npj biological timing and sleep, Springer Nature 2025, Vol. 2, (1)
Mariën, Bertold; Robinson, Kathryn M.; Jurca, Manuela; et al.
Gymnasiearbeten inom matematik
Umeå: Umeå University 2025
Raman Sundström, Manya; Ewald, Christian Oliver; Lundow, Per-Håkan; et al.
New insights into the mechanisms of plant isotope fractionation from combined analysis of intramolecular 13C and deuterium abundances in Pinus nigra tree-ring glucose
New Phytologist, John Wiley & Sons 2025, Vol. 245, (3) : 1000-1017
Wieloch, Thomas; Holloway-Phillips, Meisha; Yu, Jun; et al.
Functional regression with shape constraints
New trends in functional statistics and related fields, Springer Nature 2025 : 277-284
Jiang, Yuwei; Pya Arnqvist, Natalya
Predicting care times at PACU
Studies in Health Technology and Informatics, IOS Press 2025, Vol. 327 : 225-226
Mattsson, Lars; Lundsten, Sara D.; Rydén, Patrik; et al.
Grid is good. Adaptive refinement algorithms for off-the-grid total variation minimization
Open Journal of Mathematical Optimization, Cellule MathDoc/Centre Mersenne 2025, Vol. 6
Flinth, Axel; de Gournay, Frédéric; Weiss, Pierre
Convex formulations for training two-layer ReLU neural networks
13th International Conference on Learning Representations, ICLR 2025, Curran Associates, Inc. 2025 : 30682-30704
Prakhya, Karthik; Birdal, Tolga; Yurtsever, Alp
Personalized multi-tier federated learning
Neural information processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, proceedings, part II, Springer Nature 2025 : 192-207
Banerjee, Sourasekhar; Dadras, Ali; Yurtsever, Alp; et al.
Is allocation among reproductive tissues coordinated with seed size?
Oikos, John Wiley & Sons 2025, (4)
Wenk, Elizabeth H.; Abramowicz, Konrad; Falster, Daniel S.; et al.
fdaMocca: an R package for model-based clustering for functional data with covariates
Quantitative methods and data analysis in applied demography - volume 2: data, models, risk and surveys, Cham: Springer 2025 : 95-108
Arnqvist, Per; Sjöstedt de Luna, Sara; Pya Arnqvist, Natalya
Sample size estimation for two-sample functional hypothesis test
New trends in functional statistics and related fields, Cham: Springer 2025 : 483-491
Seydi, Mohammad Reza; Strandberg, Johan; Pataky, Todd C.; et al.
Personalized federated learning via low-rank matrix optimization
Transactions on Machine Learning Research, Vol. 2025-August
Dadras, Ali; Stich, Sebastian U.; Yurtsever, Alp
Jaw and head movement adjustments during jaw function: comparisons between and within 13‐year‐olds and adults
European Journal of Oral Sciences
Nilsson, Evelina; Häger, Charlotte; Schelin, Lina; et al.
Improved rates for stochastic variance-reduced difference-of-convex algorithms
CDC 2025, 64th IEEE Conference on Decision and Control, Rio de Janeiro, Brazil, December 9-12, 2025
Nguyen, Anh Duc; Yurtsever, Alp; Sra, Suvrit; et al.
Perfectly secure key agreement over a full duplex wireless channel
IEEE Transactions on Information Forensics and Security
Wunder, Gerhard; Flinth, Axel; Becker, Daniel; et al.
fiberLD: Fiber Length Determination. R package version 0.1-8
Pya Arnqvist, Natalya; Sjöstedt de Luna, Sara; Abramowicz, Konrad
scam: Shape constrained additive models. R package version 1.2-15
Pya Arnqvist, Natalya
A ridgelet approach to poisson denoising
Dadras, Ali; Leffler, Klara; Yu, Jun
On some extensions of shape-constrained generalized additive modelling in R
Pya Arnqvist, Natalya
A cross-validation-based statistical theory for point processes
Biometrika, Oxford University Press 2024, Vol. 111, (2) : 625-641
Cronie, Ottmar; Moradi, Mehdi; Biscio, Christophe A. N.
Marked spatial point processes: current state and extensions to point processes on linear networks
Journal of Agricultural Biological and Environmental Statistics, Springer Nature 2024, Vol. 29 : 346-378
Eckardt, Matthias; Moradi, Mehdi
Rejoinder on ‘Marked spatial point processes: current state and extensions to point processes on linear networks’
Journal of Agricultural Biological and Environmental Statistics, Springer 2024, Vol. 29, (2) : 405-416
Eckardt, Matthias; Moradi, Mehdi
Personalized federated learning via low-rank matrix factorization
OPT 2024: optimization for machine learning
Dadras, Ali; Stich, Sebastian U.; Yurtsever, Alp
The PET sampling puzzle: intelligent data sampling methods for positron emission tomography
Research report in mathematical statistics, 76/24
Leffler, Klara
Electrocortical activity associated with movement-related fear: a methodological exploration of a threat-conditioning paradigm involving destabilising perturbations during quiet standing
Experimental Brain Research, Springer Nature 2024, Vol. 242, (8) : 1903-1915
Grinberg, Adam; Strong, Andrew; Strandberg, Johan; et al.
Summary statistics for spatio-temporal point processes on linear networks
Spatial Statistics, Elsevier 2024, Vol. 61
Moradi, Mehdi; Sharifi, Ali
Completed genome and emergence scenario of the multidrug-resistant nosocomial pathogen Staphylococcus epidermidis ST215
BMC Microbiology, BioMed Central (BMC) 2024, Vol. 24, (1)
Kellgren, Therese; Dwibedi, Chinmay Kumar; Widerström, Micael; et al.
Data-driven process adjustment policies for quality improvement
Expert systems with applications, Elsevier 2024, Vol. 237
Fries, Niklas; Rydén, Patrik
Function-valued marked spatial point processes on linear networks: application to urban cycling profiles
Stat, John Wiley & Sons 2024, Vol. 13, (4)
Eckardt, Matthias; Mateu, Jorge; Moradi, Mehdi
Federated Frank-Wolfe algorithm
Machine learning and knowledge discovery in databases. Research track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, proceedings, part III, Springer Nature 2024 : 58-75
Dadras, Ali; Banerjee, Sourasekhar; Prakhya, Karthik; et al.
Non-parametric intensity estimation for spatial point patterns with R
Flexible nonparametric curve estimation, Cham: Springer Nature 2024 : 113-151
Mateu, Jorge; Moradi, Mehdi
Using AI to predict patients’ length of stay: PACU staff’s needs and expectations for developing and implementing an AI system
Journal of Nursing Management, John Wiley & Sons 2024, Vol. 2024
Lundsten, Sara; Jacobsson, Maritha; Rydén, Patrik; et al.
Nonlinear matrix recovery using optimization on the Grassmann manifold
Applied and Computational Harmonic Analysis, Elsevier 2023, Vol. 62 : 498-542
Goyens, Florentin; Cartis, Coralia; Eftekhari, Armin
Simultaneous inference for functional data in sports biomechanics: Comparing statistical parametric mapping with interval-wise testing
AStA Advances in Statistical Analysis, Springer 2023, Vol. 107 : 369-392
Pataky, Todd Colin; Abramowicz, Konrad; Liebl, Dominik; et al.
Domain selection and family-wise error rate for functional data: a unified framework
Biometrics, John Wiley & Sons 2023, Vol. 79, (2) : 1119-1132
Abramowicz, Konrad; Pini, Alessia; Schelin, Lina; et al.
The forward–backward envelope for sampling with the overdamped Langevin algorithm
Statistics and computing, Springer Nature 2023, Vol. 33, (4)
Eftekhari, Armin; Vargas, Luis; Zygalakis, Konstantinos C.
Regularised semi-parametric composite likelihood intensity modelling of a Swedish spatial ambulance call point pattern
Journal of Agricultural Biological and Environmental Statistics, Springer 2023, Vol. 28, (4) : 664-683
Bayisa, Fekadu; Ådahl, Markus; Rydén, Patrik; et al.
Hierarchical spatio-temporal change-point detection
American Statistician, Taylor & Francis 2023, Vol. 77, (4) : 390-400
Moradi, Mehdi; Cronie, Ottmar; Pérez-Goya, Unai; et al.
A Variational Perspective on High-Resolution ODEs
Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
Maskan, Hoomaan; Zygalakis, Konstantinos C.; Yurtsever, Alp
Demixing sines and spikes using multiple measurement vectors
Signal Processing, Elsevier 2023, Vol. 203
Maskan, Hoomaan; Daei, Sajad; Kahaei, Mohammad Hossein
Nonparametric bagging clustering methods to identify latent structures from a sequence of dependent categorical data
Computational Statistics & Data Analysis, Elsevier 2023, Vol. 177
Abramowicz, Konrad; Sjöstedt de Luna, Sara; Strandberg, Johan
Geometry on optimal problem
Shcherbak, Denys; Pya Arnqvist, Natalya
Statistical learning for train delays and influence of winter climate and atmospheric icing
Journal of Rail Transport Planning & Management, Elsevier 2023, Vol. 26
Wang, Jianfeng; Mantas-Nakhai, Roberto; Yu, Jun
Rigidity preserving image transformations and equivariance in perspective
Image analysis: 23rd Scandinavian conference, SCIA 2023, Sirkka, Finland, April 18–21, 2023, proceedings, part II, Cham: Springer Nature 2023 : 59-76
Brynte, Lucas; Bökman, Georg; Flinth, Axel; et al.
Deep learning-based filling of incomplete sinograms from low-cost, long axial field-of-view PET scanners with inter-detector gaps
The international networking symposiumon artificial intelligence and informatics in nuclear medicine: Program book, University Medical Center Groningen 2023 : 59-59
Leffler, Klara; Tommaso Luppino, Luigi; Kuttner, Samuel; et al.
Compressed sensing for low-count PET denoising in measurement space
NORDSTAT 2023 Gothenburg
Leffler, Klara; Häggström, Ida; Yu, Jun
One treatment with onabotulinumtoxinA relieves symptoms of overactive bladder in patients refractory to one or more oral medications
Neurourology and Urodynamics, John Wiley & Sons 2023, Vol. 42, (6) : 1203-1213
Carlsson Farrelly, Elisabeth; Hamid, Rizwan; Lorenzo-Gomez, Maria-Fernanda; et al.
Latest update: 2023-11-29