Publikationer

RL-I2IT: Image-to-image translation with deep reinforcement learning

Hu, Jing; Luo, Ziwei; Feng, Chengming; Hu, Shu et al.

Ingår i Neural Networks, 2026

Artikel i tidskrift

• DOI för RL-I2IT: Image-to-image translation with deep reinforcement learning

Kullback-Leibler Divergence-Based Filter Design Against Bias Injection Attacks

Tosun, Fatih Emre; Teixeira, André; Dong, Jingwei; Ahlén, Anders et al.

Ingår i European Journal of Control, 2026

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• DOI för Kullback-Leibler Divergence-Based Filter Design Against Bias Injection Attacks
• Ladda ner fulltext (pdf) av Kullback-Leibler Divergence-Based Filter Design Against Bias Injection Attacks

Temporal Graph Network Framework for Quantifying Pass Reception Probabilities Against Defensive Structures

Rahimian, Pegah; Davis, Jesse; Toka, Laszlo

Ingår i Machine Learning, 2026

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• DOI för Temporal Graph Network Framework for Quantifying Pass Reception Probabilities Against Defensive Structures
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Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints

Hu, Jingwei; Zachariah, Dave; Wigren, Torbjörn; Stoica, Peter

Ingår i IEEE Signal Processing Letters, s. 151-155, 2026

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• DOI för Adaptive Experiment Design for Nonlinear System Identification with Operational Constraints
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Target tracking using robust sensor motion control

Hu, Jingwei; Zachariah, Dave; Stoica, Peter

Ingår i Signal Processing, 2026

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• DOI för Target tracking using robust sensor motion control
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A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models

Cassidy, Tyler; Johnston, Stuart T.; Plank, Michael; Botha, Imke et al.

Ingår i Bulletin of Mathematical Biology, 2026

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• DOI för A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models
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Certified Inventory Control of Critical Resources

Hult, Ludvig; Zachariah, Dave; Stoica, Peter

Ingår i Operations Research Letters, 2026

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• DOI för Certified Inventory Control of Critical Resources
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Persistence to antihypertensive drug classes in uncomplicated hypertension: a nationwide Swedish cohort study

Laurell, Karl; Gustafsson, Stefan; Lampa, Erik; Zachariah, Dave et al.

Ingår i eClinicalMedicine, 2026

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• DOI för Persistence to antihypertensive drug classes in uncomplicated hypertension: a nationwide Swedish cohort study
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Learning dynamics from input-output data with Hamiltonian Gaussian processes.

Ewering, Jan-Hendrik; Herrmann, Robin Erik; Wahlström, Niklas; Schön, Thomas B. et al.

2026

Konferensbidrag

Is supervised learning really that different from un-supervised?

Allerbo, Oskar; Schön, Thomas B.

2026

Konferensbidrag

A differentiable surrogate model for the generation of radio pulses from in-ice neutrino interactions

Pilar, Philipp; Ravn, Martin; Glaser, Christian; Wahlström, Niklas

Ingår i Machine Learning, 2026

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• DOI för A differentiable surrogate model for the generation of radio pulses from in-ice neutrino interactions
• Ladda ner fulltext (pdf) av A differentiable surrogate model for the generation of radio pulses from in-ice neutrino interactions

A multi-source domain fine-tuning framework for deep generalization performance in physiological time series analysis

Zvuloni, Eran; Gagliardi, Guido; Horta Ribeiro, Antônio; Ribeiro, Antonio Luiz Pinho et al.

Ingår i Machine Learning: Health, 2026

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• DOI för A multi-source domain fine-tuning framework for deep generalization performance in physiological time series analysis
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Co-Designed Reflective and Leaky-Waveguide Low-Pass Filter for Superconducting Circuits

Andersson, Linus; Olsson, Benjamin; Gasparinetti, Simone; Rehammar, Robert

Ingår i IEEE transactions on microwave theory and techniques, s. 1708-1714, 2026

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• DOI för Co-Designed Reflective and Leaky-Waveguide Low-Pass Filter for Superconducting Circuits
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Byzantine-robust federated learning with learnable aggregation weights

Parsa, Javid; Daghestani, Amir Hossein; Teixeira, André; Johansson, Mikael

2026

Konferensbidrag

• DOI för Byzantine-robust federated learning with learnable aggregation weights

An H2-norm approach to performance analysis of networked control systems under multiplicative routing transformations

Seifullaev, Ruslan; Teixeira, André

2026

Konferensbidrag

• DOI för An H2-norm approach to performance analysis of networked control systems under multiplicative routing transformations

Fundamental limitations of sensitivity metrics for anomaly impact analysis in LTI systems

Dong, Jingwei; Zhang, Kangkang; Nguyen, Anh Tung; Teixeira, André

2026

Konferensbidrag

• DOI för Fundamental limitations of sensitivity metrics for anomaly impact analysis in LTI systems

Structural identifiability in fractional-order networks☆

Varalda, Alessandro; Pequito, Sergio

Ingår i IFAC Journal of Systems and Control, 2026

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• DOI för Structural identifiability in fractional-order networks☆
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Growth rate-driven modelling suggests that phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma

Hamis, Sara; Browning, Alexander P.; Jenner, Adrianne L.; Villa, Chiara et al.

Ingår i Communications Biology, 2026

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• DOI för Growth rate-driven modelling suggests that phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma
• Ladda ner fulltext (pdf) av Growth rate-driven modelling suggests that phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma

Efficiently computing the cyclic output-to-output gain

Arnström, Daniel; Teixeira, André

Ingår i Systems & control letters (Print), 2026

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• DOI för Efficiently computing the cyclic output-to-output gain
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Toward Super-Resolution Reconstruction of Diffusion-Relaxation MRI Using Slice Excitation With Random Overlap (SERO)

Mortensen, Felix; Jurek, Jakub; Sjölund, Jens; Vis, Geraline et al.

Ingår i Magnetic Resonance in Medicine, s. 3213-3226, 2026

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• DOI för Toward Super-Resolution Reconstruction of Diffusion-Relaxation MRI Using Slice Excitation With Random Overlap (SERO)
• Ladda ner fulltext (pdf) av Toward Super-Resolution Reconstruction of Diffusion-Relaxation MRI Using Slice Excitation With Random Overlap (SERO)

A parallel algorithm for generating Pareto-optimal radiosurgery treatment plans

da Silva, Joakim; Hernández Escobar, Daniel; Kjellsson Lindblom, Tor; Nordström, Håkan et al.

Ingår i Medical Physics, 2026

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• DOI för A parallel algorithm for generating Pareto-optimal radiosurgery treatment plans
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A deep learning ECG model for identification and localization of occlusion myocardial infarction

Gustafsson, Stefan; Ribeiro, Antônio H.; Gedon, Daniel; Abreu, Petrus E. O. G. B. et al.

Ingår i Nature Communications, 2026

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• DOI för A deep learning ECG model for identification and localization of occlusion myocardial infarction
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Stable neural coding of heading across locomotory modes by the insect compass system

Kraus, Christian M.; Jie, Vun Wen; Hanslin, Fredrik Ø.; Grob, Robin et al.

Ingår i Current Biology, s. 3405-3414, 2026

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• DOI för Stable neural coding of heading across locomotory modes by the insect compass system
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Scalable and Optimal Security Allocation in Networks Against Stealthy Injection Attacks

Nguyen, Anh Tung; Anand, Sribalaji C.; Teixeira, André M. H.

Ingår i IEEE Transactions on Automatic Control, s. 3455-3462, 2026

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• DOI för Scalable and Optimal Security Allocation in Networks Against Stealthy Injection Attacks
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Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals

Gu, Xiao; Tang, Wei; Han, Jinpei; Sangha, Veer et al.

Ingår i Nature Machine Intelligence, s. 220-233, 2026

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• DOI för Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals
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Quantifying the impact of forestry practices on biodiversity using causal inference methods

Jie, Vun Wen; Nyström, Jakob; Wigren, Torbjörn; Schön, Thomas B. et al.

2026

Konferensbidrag

Detecting Feedback-path Delay Injection Attacks Using Interacting Multiple Model Filtering

Eriksson, Lovisa; Wigren, Torbjörn; Zachariah, Dave; Teixeira, André

Ingår i 24th European Control Conference (ECC), s. 309-316, 2026

Konferensbidrag

• Ladda ner fulltext (pdf) av Detecting Feedback-path Delay Injection Attacks Using Interacting Multiple Model Filtering

Safe Corridor Motion Planning for Dynamic Pick and Place Applications

Wullt, Bernhard; Mattsson, Per; Norrlöf, Mikael; Schön, Thomas B.

Ingår i IEEE Control Systems Letters, s. 1189-1194, 2026

Artikel i tidskrift

• DOI för Safe Corridor Motion Planning for Dynamic Pick and Place Applications

A practical introduction to ODE modelling in Stan for biological systems

Hamis, Sara; Forslund, John; Gu, Cici Chen; Cochrane, Jodie A.

Ingår i Mathematical Biosciences, 2026

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• DOI för A practical introduction to ODE modelling in Stan for biological systems
• Ladda ner fulltext (pdf) av A practical introduction to ODE modelling in Stan for biological systems

Secure Filtering against Spatio-Temporal False Data Attacks under Asynchronous Sampling

Li, Zishuo; Nguyen, Anh Tung; Teixeira, André; Mo, Yilin et al.

Ingår i IEEE Transactions on Automatic Control, s. 1-8, 2026

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• DOI för Secure Filtering against Spatio-Temporal False Data Attacks under Asynchronous Sampling

Warm-starting active-set solvers using graph neural networks

Schmidtobreick, Ella Johanna; Arnström, Daniel; Häusner, Paul; Sjölund, Jens

Ingår i Proceedings of The 8th Annual Learning for Dynamics and Control Conference, 2026

Konferensbidrag

Modeling of Biodiversity Dynamics After Forest Clear-cutting by Plot Aggregation

Wigren, Torbjörn; Zachariah, Dave; Jie, Vun Wen; Andermann, Tobias et al.

2026

Rapport

• Ladda ner fulltext (pdf) av Modeling of Biodiversity Dynamics After Forest Clear-cutting by Plot Aggregation

Deep networks for system identification: A survey

Pillonetto, Gianluigi; Aravkin, Aleksandr; Gedon, Daniel; Ljung, Lennart et al.

Ingår i Automatica, 2025

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• DOI för Deep networks for system identification: A survey
• Ladda ner fulltext (pdf) av Deep networks for system identification: A survey

Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study

Hempel, Philip; Horta Ribeiro, Antônio; Vollmer, Marcus; Bender, Theresa et al.

Ingår i npj Digital Medicine, 2025

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• DOI för Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study
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Personalized Privacy Amplification via Importance Sampling

Fay, Dominik; Mair, Sebastian; Sjölund, Jens

Ingår i Transactions on Machine Learning Research, 2025

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• Ladda ner fulltext (pdf) av Personalized Privacy Amplification via Importance Sampling

Penalized Likelihood Approach for Graph Learning in the Presence of Outliers

Fatima, Ghania; Stoica, Peter; Babu, Prabhu

Ingår i IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, s. 187-200, 2025

Artikel i tidskrift

• DOI för Penalized Likelihood Approach for Graph Learning in the Presence of Outliers

CellMCD plus: An improved outlier-resistant cellwise minimum covariance determinant method

Babu, Prabhu; Stoica, Peter

Ingår i Statistics and Probability Letters, 2025

Artikel i tidskrift

• DOI för CellMCD plus: An improved outlier-resistant cellwise minimum covariance determinant method

Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study

Sau, Arunashis; Sieliwonczyk, Ewa; Patlatzoglou, Konstantinos; Pastika, Libor et al.

Ingår i The Lancet Digital Health, 2025

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• DOI för Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study
• Ladda ner fulltext (pdf) av Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study

Kullback-Leibler Divergence-Based Observer Design Against Sensor Bias Injection Attacks in Single-Output Systems

Tosun, Fatih Emre; Teixeira, André M. H.; Dong, Jingwei; Ahlén, Anders et al.

Ingår i IEEE Transactions on Information Forensics and Security, s. 2763-2777, 2025

Artikel i tidskrift

• DOI för Kullback-Leibler Divergence-Based Observer Design Against Sensor Bias Injection Attacks in Single-Output Systems

Outlier-Robust Multistatic Target Localization

Varshney, Piyush; Babu, Prabhu; Stoica, Peter

Ingår i IEEE Signal Processing Letters, s. 1161-1165, 2025

Artikel i tidskrift

• DOI för Outlier-Robust Multistatic Target Localization

A minimal model of cognition based on oscillatory and current-based reinforcement processes

Gyllingberg, Linnea; Tian, Yu; Sumpter, David J. T.

Ingår i Journal of the Royal Society Interface, 2025

Artikel i tidskrift

• DOI för A minimal model of cognition based on oscillatory and current-based reinforcement processes
• Ladda ner fulltext (pdf) av A minimal model of cognition based on oscillatory and current-based reinforcement processes

Dual-Function Beamforming Design for Multi-Target Localization and Reliable Communications

Tang, Bo; Li, Da; Wu, Wenjun; Saini, Astha et al.

Ingår i IEEE Transactions on Signal Processing, s. 559-573, 2025

Artikel i tidskrift

• DOI för Dual-Function Beamforming Design for Multi-Target Localization and Reliable Communications

Simulation-Aided Policy Tuning for Black-Box Robot Learning

He, Shiming; von Rohr, Alexander; Baumann, Dominik; Xiang, Ji et al.

Ingår i IEEE Transactions on robotics, s. 2533-2548, 2025

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• DOI för Simulation-Aided Policy Tuning for Black-Box Robot Learning
• Ladda ner fulltext (pdf) av Simulation-Aided Policy Tuning for Black-Box Robot Learning

Switching multiplicative watermark design against covert attacks

Gallo, Alexander J.; Anand, Sribalaji C.; Teixeira, André M. H.; Ferrari, Riccardo M. G.

Ingår i Automatica, 2025

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• DOI för Switching multiplicative watermark design against covert attacks
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Simulations probe the role of space in the interplay between drug-sensitive and drug-resistant cancer cells

Pugh, Kira; Jones, Rhys D. O.; Powathil, Gibin; Hamis, Sara

Ingår i Journal of Theoretical Biology, 2025

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• DOI för Simulations probe the role of space in the interplay between drug-sensitive and drug-resistant cancer cells
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Real-Time Estimation and Defense of PV Inverter Sensor Attacks With Hardware Implementation

Pan, Kaikai; Wang, Zhiyun; Dong, Jingwei; Palensky, Peter et al.

Ingår i IEEE Transactions on Industrial Electronics, s. 3228-3232, 2025

Artikel i tidskrift

• DOI för Real-Time Estimation and Defense of PV Inverter Sensor Attacks With Hardware Implementation

MATLAB software for recursive identification of Wiener Systems: Revision 3

Wigren, Torbjörn

2025

Rapport

• Ladda ner fulltext (zip) av MATLAB software for recursive identification of Wiener Systems: Revision 3

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Lysenkova, Mariya; Zachariah, Dave; Krali, Olga; Nordlund, Jessica

Ingår i JCO Clinical Cancer Informatics, 2025

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• DOI för Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction
• Ladda ner fulltext (pdf) av Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Exploring the feasibility of olfactory brain-computer interfaces

Rajabi, Nona; Zanettin, Irene; Ribeiro, Antônio H.; Vasco, Miguel et al.

Ingår i Scientific Reports, 2025

Artikel i tidskrift

• DOI för Exploring the feasibility of olfactory brain-computer interfaces
• Ladda ner fulltext (pdf) av Exploring the feasibility of olfactory brain-computer interfaces

On the impossibility of universally ethical AI

Eriksson, Lovisa

Ingår i Book of abstracts, s. 78-79, 2025

Konferensbidrag

• Ladda ner fulltext (pdf) av On the impossibility of universally ethical AI

Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model

Browning, Alexander P.; Crossley, Rebecca M.; Villa, Chiara; Maini, Philip K. et al.

Ingår i PloS Computational Biology, 2025

Artikel i tidskrift

• DOI för Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model
• Ladda ner fulltext (pdf) av Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model

Automated explanation of machine learning models of footballing actions in words

Rahimian, Pegah; Flisar, Jernej; Sumpter, David J. T.

Ingår i Journal of Sports Analytics, 2025

Artikel i tidskrift

• DOI för Automated explanation of machine learning models of footballing actions in words
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Probabilistic Zeeman-Doppler imaging of stellar magnetic fields: I. Analysis of τ Scorpii in the weak-field limit

Andersson, Jennifer R.; Kochukhov, Oleg; Zhao, Z.; Sjölund, Jens

Ingår i Astronomy and Astrophysics, 2025

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• DOI för Probabilistic Zeeman-Doppler imaging of stellar magnetic fields: I. Analysis of τ Scorpii in the weak-field limit
• Ladda ner fulltext (pdf) av Probabilistic Zeeman-Doppler imaging of stellar magnetic fields: I. Analysis of τ Scorpii in the weak-field limit

Mixtures of Ensembles: System Separation and Identification via Optimal Transport

Elvander, Filip; Haasler, Isabel

Ingår i IEEE Control Systems Letters, s. 1646-1651, 2025

Artikel i tidskrift

• DOI för Mixtures of Ensembles: System Separation and Identification via Optimal Transport

Navigating chemical design spaces for metal-ion batteries via machine-learning-guided phase-field simulations

Taghavian, Hamed; Vanoppen, Viktor; Berg, Erik; Broqvist, Peter et al.

Ingår i npj Computational Materials, 2025

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• DOI för Navigating chemical design spaces for metal-ion batteries via machine-learning-guided phase-field simulations
• Ladda ner fulltext (pdf) av Navigating chemical design spaces for metal-ion batteries via machine-learning-guided phase-field simulations

Using a hybrid modelling approach for high time-resolution prediction of influent orthophosphate load in a water resource recovery facility

Warff, Christoffer; Carlsson, Bengt; Arnell, Magnus; Micolucci, Federico et al.

Ingår i Water Research, 2025

Artikel i tidskrift

• DOI för Using a hybrid modelling approach for high time-resolution prediction of influent orthophosphate load in a water resource recovery facility
• Ladda ner fulltext (pdf) av Using a hybrid modelling approach for high time-resolution prediction of influent orthophosphate load in a water resource recovery facility

Rättsliga hinder mot samverkan?: Juridik och ledningsfrågor vid doktorandsamverkan

Strand, Magnus; Wedlin, Linda; Schön, Thomas B.

2025

Rapport

Underlätta samarbeten mellan företag och universitet

Strand, Magnus; Wedlin, Linda; Schön, Thomas B.

2025

Övrigt

Design, Development and Testing of a Conformal 60 GHz Active Repeater for High Energy Physics Applications

Aziz, Imran; Alekajbaf, Yasin; Dancila, Dragos; Pelckmans, Kristiaan et al.

Ingår i 2025 19TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP, 2025

Konferensbidrag

Learning incomplete factorization preconditioners for GMRES

Häusner, Paul; Juscafresa, Aleix Nieto; Sjölund, Jens

Ingår i NORTHERN LIGHTS DEEP LEARNING CONFERENCE, 2025

Konferensbidrag

Practical Identifiability in a Viscoelastic Respiratory Model for Mechanical Ventilation

Cerdeira, A. E.; Lam, N. N.; Hamis, Sara; Docherty, P. D.

Ingår i Bulletin of Mathematical Biology, 2025

Artikel i tidskrift

• DOI för Practical Identifiability in a Viscoelastic Respiratory Model for Mechanical Ventilation
• Ladda ner fulltext (pdf) av Practical Identifiability in a Viscoelastic Respiratory Model for Mechanical Ventilation

Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach

Villa, Chiara; Maini, Philip K.; Browning, Alexander P.; Jenner, Adrianne L. et al.

Ingår i Journal of Mathematical Biology, 2025

Artikel i tidskrift

• DOI för Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach
• Ladda ner fulltext (pdf) av Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach

Dynamic gene regulatory network inference from single-cell data using optimal transport

Lamoline, Francois; Haasler, Isabel; Karlsson, Johan; Goncalves, Jorge et al.

Ingår i Bioinformatics, 2025

Artikel i tidskrift

• DOI för Dynamic gene regulatory network inference from single-cell data using optimal transport
• Ladda ner fulltext (pdf) av Dynamic gene regulatory network inference from single-cell data using optimal transport

Kernel Reformulation With Deep Constrained Least Squares for Blind Image Super-Resolution

Luo, Ziwei; Huang, Haibin; Yu, Lei; Li, Youwei et al.

Ingår i IEEE transactions on circuits and systems for video technology (Print), s. 7380-7394, 2025

Artikel i tidskrift

• DOI för Kernel Reformulation With Deep Constrained Least Squares for Blind Image Super-Resolution

Maximum Likelihood Method for Received Signal Strength-Based Source Localization

Saini, Astha; Stoica, Peter; Babu, Prabhu

Ingår i IEEE Transactions on Aerospace and Electronic Systems, s. 10889-10895, 2025

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• DOI för Maximum Likelihood Method for Received Signal Strength-Based Source Localization

Phenotypic heterogeneity in temporally fluctuating environments

Browning, Alexander P.; Hamis, Sara

Ingår i Physical Biology, 2025

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• DOI för Phenotypic heterogeneity in temporally fluctuating environments
• Ladda ner fulltext (pdf) av Phenotypic heterogeneity in temporally fluctuating environments

The Frequency-Domain Lattice Boltzmann Method (FreqD-LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples

Johannsmann, Diethelm; Häusner, Paul; Langhoff, Arne; Leppin, Christian et al.

Ingår i Advanced Theory and Simulations, 2025

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• DOI för The Frequency-Domain Lattice Boltzmann Method (FreqD-LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples
• Ladda ner fulltext (pdf) av The Frequency-Domain Lattice Boltzmann Method (FreqD-LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples

Robust Direction-of-Arrival Estimation in the Presence of Outliers

Rajpurohit, Pushpendra; Babu, Prabhu; Stoica, Peter

Ingår i IEEE Transactions on Aerospace and Electronic Systems, s. 10921-10927, 2025

Artikel i tidskrift

• DOI för Robust Direction-of-Arrival Estimation in the Presence of Outliers

Contrasting by Augmented Patient Electrocardiograms to Learn Representations for a Foundation Model

Khattak, Gul Rukh; Patlatzoglou, Konstantinos; Liang, Yixiu; Pastika, Libor et al.

Ingår i Artificial Intelligence in Medicine, s. 202-206, 2025

Konferensbidrag

• DOI för Contrasting by Augmented Patient Electrocardiograms to Learn Representations for a Foundation Model

Taming diffusion models for image restoration: a review

Luo, Ziwei; Gustafsson, Fredrik; Zhao, Zheng; Sjölund, Jens et al.

Ingår i Philosophical Transactions. Series A, 2025

Artikel, forskningsöversikt

• DOI för Taming diffusion models for image restoration: a review
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Conditional sampling within generative diffusion models

Zhao, Zheng; Luo, Ziwei; Sjölund, Jens; Schön, Thomas B.

Ingår i Philosophical Transactions. Series A, 2025

Artikel i tidskrift

• DOI för Conditional sampling within generative diffusion models
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In the rhythm of the home: How does increased home occupancy affect residential electricity consumption?

Stikvoort, Britt; Nilsson, Anders; Bartusch, Cajsa; van Zoest, Vera

Ingår i Energy Research & Social Science, 2025

Artikel i tidskrift

• DOI för In the rhythm of the home: How does increased home occupancy affect residential electricity consumption?
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Safety and Optimality in Learning-Based Control at Low Computational Cost

Baumann, Dominik; Kowalczyk, Krzysztof; Rojas, Cristian R.; Tiels, Koen et al.

Ingår i IEEE Transactions on Automatic Control, s. 7275-7286, 2025

Artikel i tidskrift

• DOI för Safety and Optimality in Learning-Based Control at Low Computational Cost

Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles

Zhang, Ruoqi; Luo, Ziwei; Sjölund, Jens; Mattsson, Per et al.

Ingår i 2025 IEEE Conference on Games (CoG), 2025

Konferensbidrag

• DOI för Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles
• Ladda ner fulltext (pdf) av Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles

Automated segmentation of synchrotron-scanned fossils

During, Melanie A. D.; Matelsky, Jordan K.; Gustafsson, Fredrik K.; Voeten, Dennis F. A. E. et al.

Ingår i Fossil Record, s. 103-114, 2025

Artikel i tidskrift

• DOI för Automated segmentation of synchrotron-scanned fossils
• Ladda ner fulltext (pdf) av Automated segmentation of synchrotron-scanned fossils

Conditioning diffusion models by explicit forward-backward bridging

Corenflos, Adrien; Zhao, Zheng; Särkkä, Simo; Sjölund, Jens et al.

Ingår i Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, s. 3709-3717, 2025

Konferensbidrag

• Ladda ner fulltext (pdf) av Conditioning diffusion models by explicit forward-backward bridging

Data-Driven and Stealthy Deactivation of Safety Filters

Arnström, Daniel; Teixeira, André M. H.

Ingår i Proceedings of the 7th Annual Learning for Dynamics & Control Conference, s. 456-468, 2025

Konferensbidrag

Fiber Activation in Bipolar Deep Brain Stimulation: A Patient Case Study

Frigge, Anna F.; Jiltsova, Elena; Olsson, Fredrik; Nyholm, Dag et al.

Ingår i IFAC-PapersOnLine, s. 361-366, 2025

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• DOI för Fiber Activation in Bipolar Deep Brain Stimulation: A Patient Case Study
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Collision-Aware Formation Control of Nano-Quadrotors: Theory and Experiments

Nguyen, Anh Tung; Nguyen, Binh; Nghiem, Truong X.; Hong, Sung Kyung

Ingår i 2025 IEEE INTERNATIONAL CONFERENCE ON OMNI-LAYER INTELLIGENT SYSTEMS, COINS, s. 238-243, 2025

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• DOI för Collision-Aware Formation Control of Nano-Quadrotors: Theory and Experiments

The Significance of Script Proportions in the Medieval Swedish Charter Script

Mårtensson, Lasse; Vats, Ekta; Hast, Anders

Ingår i Arkiv för nordisk filologi, s. 135-162, 2025

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• DOI för The Significance of Script Proportions in the Medieval Swedish Charter Script

The cost of explainability in artificial intelligence-enhanced electrocardiogram models

Patlatzoglou, Konstantinos; Pastika, Libor; Barker, Joseph; Sieliwonczyk, Ewa et al.

Ingår i npj Digital Medicine, 2025

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• DOI för The cost of explainability in artificial intelligence-enhanced electrocardiogram models
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Neural Stimulation Reconstruction from EEG using Fractional-Order Networks towards Predictive Model Validation in Clinical Applications

Varalda, Alessandro; Pequito, Sergio

Ingår i 2025 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS, CCTA, s. 163-170, 2025

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• DOI för Neural Stimulation Reconstruction from EEG using Fractional-Order Networks towards Predictive Model Validation in Clinical Applications

Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

Reyna, Matthew A.; Koscova, Zuzana; Pavlus, Jan; Weigle, James et al.

Ingår i Computers in Cardiology (CinC), 2025

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• DOI för Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization

Horta Ribeiro, Antônio; Vävinggren, David; Zachariah, Dave; Schön, Thomas B. et al.

Ingår i Advances Neural Information Processing Systems, 2025

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Porosity predictions in additive manufacturing of Mg alloy WE43 using a Gaussian Process methodology

Ramesh Babu, Shashank; Sjölund, Jens; Persson, Cecilia

2025

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Optimization pipeline for in-ice radio neutrino detectors

Ravn, Martin; Pilar, Philipp; Glaser, Christian; Wahlström, Niklas et al.

Ingår i Proceedings of Fifth MODE Workshop on Differentiable Programming for Experiment Design PoS(MODE2025), 2025

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• DOI för Optimization pipeline for in-ice radio neutrino detectors

Safe Bayesian Optimization Across Noise Models via Scenario Programming

Tokmak, Abdullah; Schön, Thomas B.; Baumann, Dominik

Ingår i IEEE Control Systems Letters, s. 3029-3034, 2025

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• DOI för Safe Bayesian Optimization Across Noise Models via Scenario Programming

Learning dynamical systems with particle stochastic approximation EM

Lindholm, Andreas; Lindsten, Fredrik

Ingår i Foundations of Data Science, s. 1089-1116, 2025

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• DOI för Learning dynamical systems with particle stochastic approximation EM

A bibliometric study on mathematical oncology: interdisciplinarity, internationality, collaboration and trending topics

Pugh, Kira; Gyllingberg, Linnea; Stratiev, Stanislav; Hamis, Sara

Ingår i Bulletin of Mathematical Biology, 2025

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• DOI för A bibliometric study on mathematical oncology: interdisciplinarity, internationality, collaboration and trending topics
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Security Metrics for Uncertain Interconnected Systems under Stealthy Data Injection Attacks

Nguyen, Anh Tung; Anand, Sribalaji C.; Teixeira, André M. H.

Ingår i IFAC-PapersOnLine, s. 169-174, 2025

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• DOI för Security Metrics for Uncertain Interconnected Systems under Stealthy Data Injection Attacks
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Minimal positive Markov realizations

Taghavian, Hamed; Sjölund, Jens

Ingår i 2025 IEEE 64th Conference on Decision and Control (CDC), s. 858-863, 2025

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• DOI för Minimal positive Markov realizations

Investigation of Machine Learning Regression Techniques to Predict Critical Heat Flux Over a Large Parameter Space

Helmryd Grosfilley, Emil; Robertson, Gustav; Soibam, Jerol; Le Corre, Jean-Marie

Ingår i Nuclear Technology, s. 2640-2654, 2025

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• DOI för Investigation of Machine Learning Regression Techniques to Predict Critical Heat Flux Over a Large Parameter Space

Evaluation of AI ECG age in the prediction of cardiovascular diseases and risk factors: Exploratory data analysis

Sumwiza, Kellen; Horta Ribeiro, Antônio; Rushingabigwi, Gerard; Bakunzibake, Pierre et al.

Ingår i Journal of Electrocardiology, 2025

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• DOI för Evaluation of AI ECG age in the prediction of cardiovascular diseases and risk factors: Exploratory data analysis

Accelerating aqueous electrolyte design with automated full-cell battery experimentation and Bayesian optimization

Yik, Jackie; Hvarfner, Carl; Sjölund, Jens; Berg, Erik J. et al.

Ingår i Cell Reports Physical Science, 2025

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• DOI för Accelerating aqueous electrolyte design with automated full-cell battery experimentation and Bayesian optimization
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FRT: Flow-based Reconcile Transformer for Hierarchical Time Series

Wang, Shiyu; Lu, Wei; Li, Jiawei; Shi, Xiaoming et al.

Ingår i PROCEEDINGS OF THE 31ST ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING V.2, KDD 2025, s. 4995-5006, 2025

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• DOI för FRT: Flow-based Reconcile Transformer for Hierarchical Time Series
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Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study

Brant, Luisa C.C.; Horta Ribeiro, Antônio; Eromosele, Oseiwe B.; Pinto-Filho, Marcelo M. et al.

Ingår i Circulation, 2025

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• DOI för Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study

Safe exploration in reproducing kernel Hilbert spaces

Tokmak, Abdullah; Krishnan, Kiran G.; Schön, Thomas B.; Baumann, Dominik

Ingår i International Conference on Artificial Intelligence and Statistics, 2025

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Efficient Optimization Algorithms for Linear Adversarial Training

Horta Ribeiro, Antônio; Schön, Thomas B.; Zachariah, Dave; Bach, Francis

Ingår i International Conference on Artificial Intelligence and Statistics, s. 1207-1215, 2025

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Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations

Baumann, Dominik; Noorani, Erfaun; Price, James; Peters, Ole et al.

Ingår i Transactions on Machine Learning Research, 2025

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Deep Learning Amplified Early Stopping Bias: Overestimating Performance on Small Datasets

Rajabi, Nona; Ribeiro, Antônio H.; Vasco, Miguel; Kragic, Danica

Ingår i ICASSP 2025, 2025

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• DOI för Deep Learning Amplified Early Stopping Bias: Overestimating Performance on Small Datasets