Publications
Here you will find the last 50 publications of CIM doctoral students.
State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons
2025
Conference paper
Computationally Efficient DFT-Based Sampling of Ion Diffusion in Crystalline Solids
Part of Journal of Chemical Theory and Computation, p. 8669-8682, 2025
Article in journal
- DOI for Computationally Efficient DFT-Based Sampling of Ion Diffusion in Crystalline Solids
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Bayesian three-point water models
Part of npj Computational Materials, 2025
Article in journal
- DOI for Bayesian three-point water models
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Part of Journal of Numerical Mathematics, 2025
Article in journal
Sound Speed Approximation Using B-mode Image Alignment with Steered Focused Transmits
Part of 2025 IEEE International Ultrasonics Symposium (IUS), 2025
Conference paper
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere
2025
Conference paper
On canonical differential equations for Calabi-Yau multi-scale Feynman integrals
Part of Journal of High Energy Physics (JHEP), 2025
Article in journal
- DOI for On canonical differential equations for Calabi-Yau multi-scale Feynman integrals
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Dipole orientation of hydrated gas phase proteins
Part of Physical Chemistry, Chemical Physics - PCCP, 2025
Article in journal
- DOI for Dipole orientation of hydrated gas phase proteins
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Looping the loops: a tale of elliptic dual Feynman integrals
Part of 16th International Symposium on Radiative Corrections, 2024
Conference paper
- DOI for Looping the loops: a tale of elliptic dual Feynman integrals
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Part of Physical Review Research, 2025
Article in journal
Image-based tissue characterization with sound speed
2025
Conference paper
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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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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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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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
Codimension-Two Defects and SYM on Orbifolds
Part of Journal of High Energy Physics (JHEP), 2025
Article in journal
- DOI for Codimension-Two Defects and SYM on Orbifolds
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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
Global Tissue Speed-of-Sound via Comparative and Absolute Image Metrics in Ultrasound
2025
Conference paper
Probabilistic models of codon sequence evolution during speciation
Manuscript (preprint)
Manuscript (preprint)
Assessing Image Quality Metrics for Global Sound-Speed Estimation in Ultrasound
2024
Conference paper
Comparative Study of Image Quality Metrics for Global Sound-Speed Estimation
2024
Conference paper
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
UpStory: the uppsala storytelling dataset
Part of Frontiers in Robotics and AI, 2025
Article in journal
- DOI for UpStory: the uppsala storytelling dataset
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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
Part of Computer Vision – ECCV 2024 Workshops, p. 380-392, 2024
Conference paper
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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