Publications
Here you will find the last 50 publications of CIM doctoral students.
Modelling Population-Level Hes1 Dynamics: Insights from a Multi-framework Approach
Part of Bulletin of Mathematical Biology, 2025
Article in journal
- DOI for Modelling Population-Level Hes1 Dynamics: Insights from a Multi-framework Approach
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Learning group invariant Calabi-Yau metrics by fundamental domain projections
Part of Machine Learning, 2025
Article in journal
- DOI for Learning group invariant Calabi-Yau metrics by fundamental domain projections
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Spectral properties of flipped Toeplitz matrices and computational applications
Part of Applied Mathematics and Computation, 2025
Article in journal
- DOI for Spectral properties of flipped Toeplitz matrices and computational applications
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PiNN: Equivariant Neural Network Suite for Modeling Electrochemical Systems
Part of Journal of Chemical Theory and Computation, p. 1382-1395, 2025
Article in journal
- DOI for PiNN: Equivariant Neural Network Suite for Modeling Electrochemical Systems
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Topics in Cohomological Field Theory: Let's Twist Again!
2025
Doctoral thesis, comprehensive summary
Part of Journal of High Energy Physics (JHEP), 2025
Article in journal
From 5d flat connections to 4d fluxes (the art of slicing the cone)
Part of Journal of High Energy Physics (JHEP), 2023
Article in journal
- DOI for From 5d flat connections to 4d fluxes (the art of slicing the cone)
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Probabilistic Models of Genetic Variability in Sequence Evolution
2025
Doctoral thesis, comprehensive summary
Probabilistic models of codon sequence evolution during speciation
Manuscript (preprint)
Manuscript (preprint)
Part of Pattern Recognition, p. 408-421, 2024
Conference paper
Matrix-less spectral approximation for large structured matrices
Part of BIT Numerical Mathematics, 2025
Article in journal
- DOI for Matrix-less spectral approximation for large structured matrices
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Dipole and Charge Prediction for Electrochemical Systems from Atomistic Machine Learning
2025
Doctoral thesis, comprehensive summary
PiNN: equivariant neural network suite for modelling electrochemical systems
2024
Article in journal
InfoHier: Hierarchical Information Extraction via Encoding and Embedding
Manuscript (preprint)
Modeling of Nanomaterials for Supercapacitors: Beyond Carbon Electrodes
Part of ACS Nano, p. 19931-19949, 2024
Article, review/survey
- DOI for Modeling of Nanomaterials for Supercapacitors: Beyond Carbon Electrodes
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Part of Artificial Intelligence in the Life Sciences, 2024
Article in journal
- DOI for Federated learning for predicting compound mechanism of action based on image-data from cell painting
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Accelerating Fair Federated Learning: Adaptive Federated Adam
Part of IEEE Transactions on Machine Learning in Communications and Networking, p. 1017-1032, 2024
Article in journal
- DOI for Accelerating Fair Federated Learning: Adaptive Federated Adam
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The soaring kite: a tale of two punctured tori
Part of Journal of High Energy Physics (JHEP), 2024
Article in journal
- DOI for The soaring kite: a tale of two punctured tori
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"The six blind men and the elephant": An Interdisciplinary Selection of Measurement Features
Part of Geometric Methods in Physics XL, p. 275-307, 2024
Conference paper
Computer Vision and Explainability in Human-Human and Human-Robot Interaction
2024
Doctoral thesis, comprehensive summary
Are We Friends: End-to-End Prediction of Child Rapport in Guided Play
2024
Conference paper
UpStory: the Uppsala Storytelling dataset
Manuscript (preprint)
Super Yang-Mills on branched covers and weighted projective spaces
Part of Journal of High Energy Physics (JHEP), 2024
Article in journal
- DOI for Super Yang-Mills on branched covers and weighted projective spaces
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Demo Abstract: Blades: A Unified Benchmark Suite for Byzantine-Resilient in Federated Learning
Part of 9TH ACM/IEEE CONFERENCE ON INTERNET OF THINGS DESIGN AND IMPLEMENTATION, IOTDI 2024, p. 229-230, 2024
Conference paper
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Part of 2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI), p. 158-169, 2024
Conference paper
A Wright-Fisher graph model and the impact of directional selection on genetic variation
Part of Theoretical Population Biology, p. 13-24, 2024
Article in journal
- DOI for A Wright-Fisher graph model and the impact of directional selection on genetic variation
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The β maps: Strong clustering and distribution results on the complex unit circle
Part of Linear Algebra and its Applications, p. 365-383, 2024
Article in journal
- DOI for The β maps: Strong clustering and distribution results on the complex unit circle
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Modeling and Estimation of Impulsive Biomedical Systems
2023
Licentiate thesis, comprehensive summary
Robust One-Step Estimation of Impulsive Time Series
Manuscript (preprint)
Spike timing–based coding in neuromimetic tactile system enables dynamic object classification
Part of Science, p. 660-665, 2024
Article in journal
- DOI for Spike timing–based coding in neuromimetic tactile system enables dynamic object classification
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Reversible Hydration Enabling High-Rate Aqueous Li-Ion Batteries
Part of ACS Energy Letters, p. 959-966, 2024
Article in journal
- DOI for Reversible Hydration Enabling High-Rate Aqueous Li-Ion Batteries
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Predicting Ion Diffusion from the Shape of Potential Energy Landscapes
Part of Journal of Chemical Theory and Computation, p. 18-29, 2024
Article in journal
- DOI for Predicting Ion Diffusion from the Shape of Potential Energy Landscapes
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Cycles in Impulsive Goodwin's Oscillators of arbitrary orderâ
Part of Automatica, 2024
Article in journal
- DOI for Cycles in Impulsive Goodwin's Oscillators of arbitrary orderâ
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PiNNwall: Heterogeneous Electrode Models from Integrating Machine Learning and Atomistic Simulation
Part of Journal of Chemical Theory and Computation, p. 5199-5209, 2023
Article in journal
- DOI for PiNNwall: Heterogeneous Electrode Models from Integrating Machine Learning and Atomistic Simulation
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2023
Conference paper
A case study in designing trustworthy interactions: implications for socially assistive robotics
Part of Frontiers in Computer Science, 2023
Article in journal
- DOI for A case study in designing trustworthy interactions: implications for socially assistive robotics
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A numerical investigation of some RBF-FD error estimates
Part of Dolomites Research Notes on Approximation, p. 78-95, 2022
Article in journal
DCNN based Oral Cancer Screening using Whole Slide Cytology Images: Effect of Increased Patch Size
2022
Conference paper
Part of ICMI '22, p. 444-454, 2022
Conference paper
- DOI for End-to-End Learning and Analysis of Infant Engagement During Guided Play: Prediction and Explainability
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Impulsive time series modeling with application to luteinizing hormone data
Part of Frontiers in Endocrinology, 2022
Article in journal
- DOI for Impulsive time series modeling with application to luteinizing hormone data
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Input Sequence and Parameter Estimation in Impulsive Biomedical Models
Part of 2022 European Control Conference (ECC), p. 253-258, 2022
Conference paper
An efficient linked list for molecular simulations on a spherical surface
Part of Journal of Physics A, 2022
Article in journal
- DOI for An efficient linked list for molecular simulations on a spherical surface
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Index of the transversally elliptic complex in Pestunization
Part of Journal of Physics A, 2022
Article in journal
- DOI for Index of the transversally elliptic complex in Pestunization
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Finite-field coupling via learning the charge response kernel
Part of Electronic Structure, 2022
Article in journal
- DOI for Finite-field coupling via learning the charge response kernel
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A Nearly Neutral Model of Molecular Signatures of Natural Selection after Change in Population Size
Part of Genome Biology and Evolution, 2022
Article in journal
- DOI for A Nearly Neutral Model of Molecular Signatures of Natural Selection after Change in Population Size
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Bayesian Monitoring of COVID-19 in Sweden
Part of Epidemics, 2023
Article in journal
- DOI for Bayesian Monitoring of COVID-19 in Sweden
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Proactive Autoscaling for Edge Computing Systems with Kubernetes
2021
Conference paper
Machine learning inference of molecular dipole moment in liquid water
Part of Machine Learning, 2021
Article in journal
- DOI for Machine learning inference of molecular dipole moment in liquid water
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Part of Companion Publication of the 2021 International Conference on Multimodal Interaction, p. 403-407, 2021
Conference paper
- DOI for Automatic Analysis of Infant Engagement during Play: An End-to-end Learning and Explainable AI Pilot Experiment
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