CST Publications
CST's 50 Most Recent Publications
[1]
F. Mallor et al.,
"In-Situ Analysis of Backflow Events and Their Relation to Separation in Wings Through Well-Resolved LES,"
in ERCOFTAC Series, : Springer Science and Business Media B.V., 2024, pp. 17-22.
[2]
P. Verzelli, T. Tchumatchenko and J. Hellgren Kotaleski,
"Editorial overview : Computational neuroscience as a bridge between artificial intelligence, modeling and data,"
Current Opinion in Neurobiology, vol. 84, 2024.
[3]
Y. Liu,
"Breast cancer risk assessment and detection in mammograms with artificial intelligence,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:2, 2024.
[4]
C. A., I. Akerlund et al.,
"Clinical descriptors of disease trajectories in patients with traumatic brain injury in the intensive care unit (CENTER-TBI) : a multicentre observational cohort study,"
Lancet Neurology, vol. 23, no. 1, pp. 71-80, 2024.
[5]
M. A. Cenci and A. Kumar,
"Cells, pathways, and models in dyskinesia research,"
Current Opinion in Neurobiology, vol. 84, 2024.
[6]
M. I. Andersson, F. Liu and S. Markidis,
"Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems,"
in Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing (PP), 2024, pp. 39-52.
[7]
S. Zojaji,
"Embodying Politeness in Persuasive Humanoid Agents for Small Group Scenarios,"
Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:14, 2024.
[8]
D. Massaro et al.,
"Direct numerical simulation of the turbulent flow around a Flettner rotor,"
Scientific Reports, vol. 14, no. 1, 2024.
[9]
J. E. Mold et al.,
"Clonally heritable gene expression imparts a layer of diversity within cell types,"
Cell systems, vol. 15, no. 2, pp. 149, 2024.
[10]
S. Zojaji, A. Matviienko and C. Peters,
"Exploring the Influence of Co-Present and Remote Robots on Persuasiveness and Perception of Politeness,"
in HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, pp. 1204-1208.
[11]
S. Zojaji et al.,
"Join Me Here if You Will : Investigating Embodiment and Politeness Behaviors When Joining Small Groups of Humans, Robots, and Virtual Characters,"
in CHI Conference on Human Factors in Computing Systems (CHI ’24), Oʻahu, Hawaiʻi, USA, 11-16 May 2024, 2024.
[12]
D. Hussain,
"Managing Students’ Expectations in a Challenge-Driven Learning Environment,"
in Towards a Hybrid, Flexible and Socially Engaged Higher Education - Proceedings of the 26th International Conference on Interactive Collaborative Learning ICL2023, 2024, pp. 191-201.
[13]
H. Hellqvist et al.,
"Estimation of aortic stiffness by finger photoplethysmography using enhanced pulse wave analysis and machine learning,"
Frontiers in Cardiovascular Medicine, vol. 11, 2024.
[14]
J. Zang et al.,
"Structural constraints on the emergence of oscillations in multi-population neural networks,"
eLIFE, vol. 12, 2024.
[15]
[16]
J. Xu et al.,
"Modeling Cycle-to-Cycle Variation in Memristors for In-Situ Unsupervised Trace-STDP Learning,"
IEEE Transactions on Circuits and Systems - II - Express Briefs, vol. 71, no. 2, pp. 627-631, 2024.
[17]
[18]
N. Jansson et al.,
"Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics,"
Computers & Fluids, vol. 275, pp. 106243-106243, 2024.
[19]
A. Cuba Gyllensten,
"Quantifying Meaning,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:2, 2023.
[20]
M. Mohaghegh Neyshabouri,
"Inter and intra-tumor models of somatic evolution in cancer,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:12, 2023.
[21]
H. Koptagel,
"Variational methods for phylogeny and single-cell genomics,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:11, 2023.
[22]
J. Kronborg and J. Hoffman,
"The triple decomposition of the velocity gradient tensor as a standardized real Schur form,"
Physics of fluids, vol. 35, no. 3, 2023.
[23]
E. Aurell, D. Machado Perez and R. Mulet,
"A closure for the master equation starting from the dynamic cavity method,"
Journal of Physics A : Mathematical and Theoretical, vol. 56, no. 17, 2023.
[24]
V. Dichio, H.-L. Zeng and E. Aurell,
"Statistical genetics in and out of quasi-linkage equilibrium,"
Reports on progress in physics (Print), vol. 86, no. 5, 2023.
[25]
M. Lippi et al.,
"Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap,"
IEEE Transactions on robotics, vol. 39, no. 1, pp. 57-75, 2023.
[26]
N. B. Ravichandran, A. Lansner and P. Herman,
"Brain-like combination of feedforward and recurrentnetwork components achieves prototype extraction androbust pattern recognition,"
in Lecture Notes in Computer Science, 2023.
[27]
T. Lindeberg,
"A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time,"
Biological Cybernetics, vol. 117, no. 1-2, pp. 21-59, 2023.
[28]
S. Markidis,
"Programming Quantum Neural Networks on NISQ Systems : An Overview of Technologies and Methodologies,"
Entropy, vol. 25, no. 4, 2023.
[29]
M. Andersson et al.,
"Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software,"
in PPAM 2022. Lecture Notes in Computer Science, vol 13826., 2023, pp. 333-345.
[30]
F. Liu et al.,
"Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans,"
in PPAM 2022. Lecture Notes in Computer Science, vol 13826., 2023.
[31]
M. Andersson,
"Leveraging Intermediate Representations for High-Performance Portable Discrete Fourier Transform Frameworks : with Application to Molecular Dynamics,"
Licentiate thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:43, 2023.
[32]
R. Raj et al.,
"Odor identification errors reveal cognitive aspects of age-associated smell loss,"
Cognition, vol. 236, 2023.
[33]
A. Geras et al.,
"Celloscope : a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data,"
Genome Biology, vol. 24, no. 1, 2023.
[34]
N. B. Ravichandran, A. Lansner and P. Herman,
"Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition,"
in Lecture Notes in Computer Science, 2023, pp. 488-501.
[35]
M. Karp et al.,
"Large-scale direct numerical simulations of turbulence using GPUs and modern Fortran,"
The international journal of high performance computing applications, pp. 109434202311586, 2023.
[36]
M. Lenninger et al.,
"Are single-peaked tuning curves tuned for speed rather than accuracy?,"
eLIFE, vol. 12, 2023.
[37]
M. Rollier et al.,
"Mobility and the spatial spread of sars-cov-2 in Belgium,"
Mathematical Biosciences, vol. 360, 2023.
[38]
C. Pagliantini, G. L. Delzanno and S. Markidis,
"Physics-based adaptivity of a spectral method for the Vlasov–Poisson equations based on the asymmetrically-weighted Hermite expansion in velocity space,"
Journal of Computational Physics, vol. 488, 2023.
[39]
X. Chen et al.,
"Breast cancer patient-derived whole-tumor cell culture model for efficient drug profiling and treatment response prediction,"
Proceedings of the National Academy of Sciences of the United States of America, vol. 120, no. 1, 2023.
[40]
Á. González-Redondo et al.,
"Reinforcement learning in a spiking neural model of striatum plasticity,"
Neurocomputing, vol. 548, 2023.
[41]
D. Trpevski et al.,
"Glutamate spillover drives robust all-or-none dendritic plateau potentials-an in silico investigation using models of striatal projection neurons,"
Frontiers in Cellular Neuroscience, vol. 17, 2023.
[42]
L. Guo,
"Cortical Pyramidal and Parvalbumin Cells Exhibit Distinct Spatiotemporal Extracellular Electric Potentials,"
eNeuro, vol. 10, no. 7, 2023.
[43]
A. Afzal et al.,
"Making applications faster by asynchronous execution : Slowing down processes or relaxing MPI collectives,"
Future generations computer systems, vol. 148, pp. 472-487, 2023.
[44]
S.-H. Jun et al.,
"Reconstructing clonal tree for phylo-phenotypic characterization of cancer using single-cell transcriptomics,"
Nature Communications, vol. 14, no. 1, 2023.
[45]
C. Åkerlund,
"Pathophysiological characterization of traumatic brain injury using novel analytical methods,"
Doctoral thesis Stockholm : Karolinska Institutet, 2023.
[46]
F. Binda et al.,
"Excitation and Inhibition Delays within a Feedforward Inhibitory Pathway Modulate Cerebellar Purkinje Cell Output in Mice,"
Journal of Neuroscience, vol. 43, no. 33, pp. 5905-5917, 2023.
[47]
Q. Xu et al.,
"Genetic-tunneling driven energy optimizer for spin systems,"
Communications Physics, vol. 6, no. 1, 2023.
[48]
N. Pornthisan and S. Markidis,
"Fast Electromagnetic Field Pattern Calculation with Fourier Neural Operators,"
in Computational Science – ICCS 2023 - 23rd International Conference, Proceedings, 2023, pp. 247-255.
[49]
M. Lundqvist et al.,
"Working memory control dynamics follow principles of spatial computing,"
Nature Communications, vol. 14, no. 1, 2023.
[50]
B. Adhi et al.,
"Less for more : reducing intra-cgra connectivity for higher performance and efficiency in hpc,"
in 2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023, 2023, pp. 452-459.