Publikationer

SLAM-AGS: Slide-Label Aware Multi-Task Pretraining Using Adaptive Gradient Surgery in Computational Cytology

Acerbis, Marco; Chatterjee, Swarnadip; Avenel, Christophe; Lindblad, Joakim

Ingår i 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026

Konferensbidrag

• DOI för SLAM-AGS: Slide-Label Aware Multi-Task Pretraining Using Adaptive Gradient Surgery in Computational Cytology

Group Equivariant Diffusion for Anomaly Detection in Computational Cytology

Chatterjee, Swarnadip; Sivakumar, Ssharvien Kumar; Mukhopadhyay, Anirban

NaN

Manuskript (preprint)

Learning Multimodal Normality Representations for Abnormal Cell Detection in Cytology and Single-Cell Microscopy

Chatterjee, Swarnadip; Lindblad, Joakim

NaN

Manuskript (preprint)

Needle in a Haystack: One-Class Representation Learning for Detecting Rare Malignant Cells in Computational Cytology

Chatterjee, Swarnadip; Basic, Vladimir; Capitanio, Arrigo; Göksel, Orcun et al.

NaN

Manuskript (preprint)

Learning from Normality in Computational Cytology: Deep Learning Methods for Rare Abnormal Cell Detection in Monomodal and Multimodal Cytology Images

Chatterjee, Swarnadip

2026

Doktorsavhandling, sammanläggning

• Ladda ner fulltext (pdf) av Learning from Normality in Computational Cytology: Deep Learning Methods for Rare Abnormal Cell Detection in Monomodal and Multimodal Cytology Images

Delays in Spiking Neural Networks: A State Space Model Approach

Karilanova, Sanja; Dey, Subhrakanti; Özcelikkale, Ayca

2026

Konferensbidrag

Time-Varying Deep State Space Models forSequences with Switching Dynamics

Karilanova, Sanja; Dey, Subhrakanti; Özcelikkale, Ayca

2026

Konferensbidrag

Bridging Spiking Neural Networks and Deep State-Space Models

Karilanova, Sanja

2026

Doktorsavhandling, sammanläggning

• Ladda ner fulltext (pdf) av Bridging Spiking Neural Networks and Deep State-Space Models

Federated Learning of Spiking Neural Networks under Heterogeneous Temporal Resolutions

Karilanova, Sanja; Dey, Subhrakanti; Özcelikkale, Ayca

NaN

Manuskript (preprint)

Efficient Modeling of Ion Diffusion in Solid-state Electrolyte Materials

Gustafsson, Hannes

2026

Doktorsavhandling, sammanläggning

• Ladda ner fulltext (pdf) av Efficient Modeling of Ion Diffusion in Solid-state Electrolyte Materials

Investigating configuration entropy in ceramic superionic conductors

Schwarz, Fabian; Gustafsson, Hannes; Mace, Amber

NaN

Manuskript (preprint)

Impact of Carrier Concentration, Framework Potential and Structural Variations on Li-Diffusivity in Li_1+xAl_xTi_2–xPO₄

Gustafsson, Hannes; Schwarz, Fabian; Alex, Tamme; Mace, Amber

NaN

Manuskript (preprint)

Feynman integrals and modular forms

Sohnle, Yoann

2026

Doktorsavhandling, sammanläggning

• Ladda ner fulltext (pdf) av Feynman integrals and modular forms

Parameters, Potentials and Probabilistic Methods in Molecular Modeling

Nordman, Alfred Torsten

2026

Doktorsavhandling, sammanläggning

• Ladda ner fulltext (pdf) av Parameters, Potentials and Probabilistic Methods in Molecular Modeling

Bayesian Modeling of Polarizable Water: Lessons for Force Field Development

Nordman, Alfred T.; Engblom, Stefan; van der Spoel, David

NaN

Manuskript (preprint)

Systematic Increase of Force Field Accuracy using the Alexandria Chemistry Toolkit

Nordman, Alfred T.; Rosenbaum, Måns K.; van der Spoel, David

NaN

Manuskript (preprint)

Robust Learning from Distributed and Heterogeneous Data

Ju, Li

2026

Doktorsavhandling, sammanläggning

• Ladda ner fulltext (pdf) av Robust Learning from Distributed and Heterogeneous Data

Canonical differential equations and intersection matrices

Duhr, Claude; Maggio, Sara; Porkert, Franziska; Semper, Cathrin et al.

Ingår i Journal of High Energy Physics (JHEP), 2026

Artikel i tidskrift

• DOI för Canonical differential equations and intersection matrices
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OneFlowSBI: One Model, Many Queries for Simulation-Based Inference

Nautiyal, Mayank; Ju, Li; Ernfors, Melker; Hagland, Klara et al.

NaN

Manuskript (preprint)

• Ladda ner fulltext (pdf) av OneFlowSBI: One Model, Many Queries for Simulation-Based Inference

Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching

Ju, Li; Nautiyal, Mayank; Hellander, Andreas; Vats, Ekta et al.

NaN

Manuskript (preprint)

• Ladda ner fulltext (pdf) av Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching

Electric double layer at the metal-oxide/electrolyte interface

Knijff, Lisanne; Jia, Mei; Zhang, Chao

Ingår i Encyclopedia of Solid Liquid Interfaces, s. 567-575, Elsevier, 2023

Kapitel i bok, del av antologi

• DOI för Electric double layer at the metal-oxide/electrolyte interface

An Imbalance in the Force: The Need for Standardized Benchmarks for Molecular Simulation

Kříž, Kristian; Schmidt, Lisa; Andersson, Alfred T.; Walz, Marie-Madeleine et al.

Ingår i Journal of Chemical Information and Modeling, s. 412-431, 2023

Artikel, forskningsöversikt

• DOI för An Imbalance in the Force: The Need for Standardized Benchmarks for Molecular Simulation
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Meshfree RBF-FD methods for numerical simulation of PDE problems

Larsson, Elisabeth; Mavrič, Bostjan; Michael, Andreas; Pooladi, Fatemeh et al.

Ingår i 9th European Thermal Sciences Conference (Eurotherm 2024) 10/06/2024 - 13/06/2024 Lake Bled, Slovenia, 2024

Konferensbidrag

• DOI för Meshfree RBF-FD methods for numerical simulation of PDE problems
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Sampling string vacua using generative models

Walden, Moritz; Larfors, Magdalena

Ingår i Machine Learning, 2026

Artikel i tidskrift

• DOI för Sampling string vacua using generative models
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Image-based metrics in ultrasound for estimation of global speed of sound

Denkin, Roman; Göksel, Orcun

Ingår i Ultrasonics, 2026

Artikel i tidskrift

• DOI för Image-based metrics in ultrasound for estimation of global speed of sound
• Ladda ner fulltext (pdf) av Image-based metrics in ultrasound for estimation of global speed of sound

Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks

Karilanova, Sanja; Fabre, Maxime; Neftci, Emre; Özçelikkale, Ayça

Ingår i Neural Networks, 2026

Artikel i tidskrift

• DOI för Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
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State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons

Karilanova, Sanja; Dey, Subhrakanti; Özcelikkale, Ayca

Ingår i 2025 Neuro Inspired Computational Elements (NICE), 2025

Konferensbidrag

• DOI för State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons
• Ladda ner fulltext (pdf) av State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons

Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback

Karilanova, Sanja; Dey, Subhrakanti; Özcelikkale, Ayca

Ingår i IEEE Journal on Selected Topics in Signal Processing, s. 1172-1186, 2025

Artikel i tidskrift

• DOI för Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback
• Ladda ner fulltext (pdf) av Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback

Bayesian three-point water models

Nordman, Alfred T.; Engblom, Stefan; Van der Spoel, David

Ingår i npj Computational Materials, 2025

Artikel i tidskrift

• DOI för Bayesian three-point water models
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Computationally Efficient DFT-Based Sampling of Ion Diffusion in Crystalline Solids

Gustafsson, Hannes; Schwarz, Fabian; Smolders, Thijs J. A. M.; Barthel, Senja et al.

Ingår i Journal of Chemical Theory and Computation, s. 8669-8682, 2025

Artikel i tidskrift

• DOI för Computationally Efficient DFT-Based Sampling of Ion Diffusion in Crystalline Solids
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From asymptotic distribution and vague convergence to uniform convergence, with numerical applications

Barbarino, Giovanni; Ekström, Sven-Erik; Garoni, Carlo; Meadon, David et al.

Ingår i Journal of Numerical Mathematics, s. 21-60, 2026

Artikel i tidskrift

• DOI för From asymptotic distribution and vague convergence to uniform convergence, with numerical applications
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Sound Speed Approximation Using B-mode Image Alignment with Steered Focused Transmits

Bezek, Can Deniz; Koudelka, Paul; Denkin, Roman; Göksel, Orcun

Ingår i 2025 IEEE International Ultrasonics Symposium (IUS), s. 1-4, 2025

Konferensbidrag

• DOI för Sound Speed Approximation Using B-mode Image Alignment with Steered Focused Transmits

Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere

Ju, Li; Andersson, Max; Fredriksson, Stina; Glöckner, Edward et al.

2025

Konferensbidrag

On canonical differential equations for Calabi-Yau multi-scale Feynman integrals

Maggio, Sara; Sohnle, Yoann

Ingår i Journal of High Energy Physics (JHEP), 2025

Artikel i tidskrift

• DOI för On canonical differential equations for Calabi-Yau multi-scale Feynman integrals
• Ladda ner fulltext (pdf) av On canonical differential equations for Calabi-Yau multi-scale Feynman integrals

Evolutionary machine learning of physics-based force fields in high-dimensional parameter-space

Van der Spoel, David; Marrades, Julián; Kriz, Kristian; Hosseini, A. Najla et al.

Ingår i Digital Discovery, s. 1925-1935, 2025

Artikel i tidskrift

• DOI för Evolutionary machine learning of physics-based force fields in high-dimensional parameter-space
• Ladda ner fulltext (pdf) av Evolutionary machine learning of physics-based force fields in high-dimensional parameter-space

Dipole orientation of hydrated gas phase proteins

Agelii, Harald; Jakobsson, Ellen L. S.; De Santis, Emiliano; Elfrink, Gideon et al.

Ingår i Physical Chemistry, Chemical Physics - PCCP, 2025

Artikel i tidskrift

• DOI för Dipole orientation of hydrated gas phase proteins
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Looping the loops: a tale of elliptic dual Feynman integrals

Giroux, Mathieu; Pokraka, Andrzej; Porkert, Franziska; Sohnle, Yoann

Ingår i 16th International Symposium on Radiative Corrections, 2024

Konferensbidrag

• DOI för Looping the loops: a tale of elliptic dual Feynman integrals
• Ladda ner fulltext (pdf) av Looping the loops: a tale of elliptic dual Feynman integrals

Interpretable neural network predictions of high-intensity femtosecond x-ray free-electron laser pulses using sulfur K-shell emission spectra

Agelii, Harald; Bellisario, Alfredo; Caleman, Carl; Timneanu, Nicusor et al.

Ingår i Physical Review Research, 2025

Artikel i tidskrift

• DOI för Interpretable neural network predictions of high-intensity femtosecond x-ray free-electron laser pulses using sulfur K-shell emission spectra

Image-based tissue characterization with sound speed

Denkin, Roman; Göksel, Orcun

2025

Konferensbidrag

Modelling Population-Level Hes1 Dynamics: Insights from a Multi-framework Approach

Menz, Gesina; Engblom, Stefan

Ingår i Bulletin of Mathematical Biology, 2025

Artikel i tidskrift

• DOI för 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

Hendi, Yacoub; Larfors, Magdalena; Walden, Moritz

Ingår i Machine Learning, 2025

Artikel i tidskrift

• DOI för Learning group invariant Calabi-Yau metrics by fundamental domain projections
• Ladda ner fulltext (pdf) av Learning group invariant Calabi-Yau metrics by fundamental domain projections

PiNN: Equivariant Neural Network Suite for Modeling Electrochemical Systems

Li, Jichen; Knijff, Lisanne; Zhang, Zhan-Yun; Andersson, Linnéa et al.

Ingår i Journal of Chemical Theory and Computation, s. 1382-1395, 2025

Artikel i tidskrift

• DOI för PiNN: Equivariant Neural Network Suite for Modeling Electrochemical Systems
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Spectral properties of flipped Toeplitz matrices and computational applications

Barbarino, Giovanni; Ekström, Sven-Erik; Garoni, Carlo; Meadon, David et al.

Ingår i Applied Mathematics and Computation, 2025

Artikel i tidskrift

• DOI för Spectral properties of flipped Toeplitz matrices and computational applications
• Ladda ner fulltext (pdf) av Spectral properties of flipped Toeplitz matrices and computational applications

Topics in Cohomological Field Theory: Let's Twist Again!

Mauch, Roman

2025

Doktorsavhandling, sammanläggning

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The Equivariant B model

Festuccia, Guido; Mauch, Roman; Zabzine, Maxim

Ingår i Journal of High Energy Physics (JHEP), 2025

Artikel i tidskrift

• DOI för The Equivariant B model
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Codimension-Two Defects and SYM on Orbifolds

Mauch, Roman; Ruggeri, Lorenzo

Ingår i Journal of High Energy Physics (JHEP), 2025

Artikel i tidskrift

• DOI för Codimension-Two Defects and SYM on Orbifolds
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From 5d flat connections to 4d fluxes (the art of slicing the cone)

Lundin, Jim; Mauch, Roman; Ruggeri, Lorenzo

Ingår i Journal of High Energy Physics (JHEP), 2023

Artikel i tidskrift

• DOI för From 5d flat connections to 4d fluxes (the art of slicing the cone)
• Ladda ner fulltext (pdf) av From 5d flat connections to 4d fluxes (the art of slicing the cone)

Probabilistic Models of Genetic Variability in Sequence Evolution

Müller-Widmann, Rebekka

2025

Doktorsavhandling, sammanläggning

• Ladda ner fulltext (pdf) av Probabilistic Models of Genetic Variability in Sequence Evolution

Global Tissue Speed-of-Sound via Comparative and Absolute Image Metrics in Ultrasound

Denkin, Roman; Göksel, Orcun

2025

Konferensbidrag

Probabilistic models of codon sequence evolution during speciation

Müller-Widmann, Rebekka; Mugal, Carina F.; Kaj, Ingemar

NaN

Manuskript (preprint)