CST Publications

CST's 50 Most Recent Publications

[1]
X. Aguilar, "Performance Monitoring, Analysis, and Real-Time Introspection on Large-Scale Parallel Systems," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2020:1, 2020.
[2]
O. O. Özcan et al., "Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus," Journal of Neuroscience, vol. 40, no. 1, pp. 159-170, 2020.
[3]
L. Finnveden, Y. Jansson and T. Lindeberg, "The problems with using STNs to align CNN feature maps," in Northern Lights Deep Learning Workshop 2020, Tromsø, Norway, 20-21 Jan 2020, 2020.
[4]
T. Lindeberg, "Scale selection," in Computer Vision : A Reference Guide, 2nd ed. : Springer, 2020.
[6]
E. Brocke, "Method development for co-simulation of electrical-chemical systems in Neuroscience," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2020:9, 2020.
[7]
T. Lindeberg, "Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade," Journal of Mathematical Imaging and Vision, vol. 62, no. 1, pp. 120-148, 2020.
[8]
C. Lacoux et al., "Dynamic insights on transcription initiation and RNA processing during bacterial adaptation," RNA : A publication of the RNA Society, vol. 26, no. 4, pp. 382-395, 2020.
[9]
A. Divin et al., "A Fully Kinetic Perspective of Electron Acceleration around a Weakly Outgassing Comet," Astrophysical Journal Letters, vol. 889, no. 2, 2020.
[10]
T. Stojanovski, "Urban Mobility Certificates (UMCs) : Informing mobility choices, carbon emissionsand energy use from transportation," Stockholm : KTH Royal Institute of Technology, TRITA-ABE-RPT, 2011, 2020.
[11]
J. Bahuguna, A. Sahasranamam and A. Kumar, "Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations," PloS Computational Biology, vol. 16, no. 3, 2020.
[12]
L. Hunger, A. Kumar and R. Schmidt, "Abundance Compensates Kinetics : Similar Effect of Dopamine Signals on D1 and D2 Receptor Populations," Journal of Neuroscience, vol. 40, no. 14, pp. 2868-2881, 2020.
[14]
E. Aurell, B. Donvil and K. Mallick, "Large deviations and fluctuation theorem for the quantum heat current in the spin-boson model," Physical review. E, vol. 101, no. 5, 2020.
[15]
H.-L. Zeng and E. Aurell, "Inferring genetic fitness from genomic data," Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, vol. 101, no. 5, 2020.
[16]
R. Hollandi et al., "nucleAIzer : A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer," Cell Systems, vol. 10, no. 5, pp. 453-458.e6, 2020.
[18]
I. Youssef et al., "A Neuro-Inspired Computational Model for a Visually Guided Robotic Lamprey Using Frame and Event Based Cameras," IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 2395-2402, 2020.
[19]
K. Marco et al., "GPU-acceleration of A High Order Finite Difference Code Using Curvilinear Coordinates," in Proceedings of the 2020 International Conference on Computing, Networks and Internet of Things, 2020, pp. 41-47.
[20]
N. Calvo et al., "Can a social robot be persuasive without losing children's trust?," in Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2020, 2020, pp. 157-159.
[21]
J. J. J. Hjorth et al., "The microcircuits of striatum in silico," Proceedings of the National Academy of Sciences of the United States of America, vol. 117, no. 17, pp. 9554-9565, 2020.
[22]
Y. Jansson and T. Lindeberg, "Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges," in ICPR2020 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021, 2020.
[23]
H. Pierre et al., "Fluid and kinetic modelling of the magnetized Kelvin-Helmholtz instability," in ETC 2013 - 14th European Turbulence Conference, 2020.
[24]
L. Finnveden, Y. Jansson and T. Lindeberg, "Understanding when spatial transformer networks do not support invariance, and what to do about it," in ICPR2020 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021, 2020.
[25]
Y. Jansson and T. Lindeberg, "MNISTLargeScale dataset," , 2020.
[28]
M. Mohagheghi Nejad, "Interaction of sensory and motor signals in the basal ganglia in health and disease," Doctoral thesis Stockholm : Kungliga Tekniska högskolan, TRITA-EECS-AVL, 2019:12, 2019.
[29]
C.-Y. Gao et al., "DCA for genome-wide epistasis analysis : the statistical genetics perspective," Physical Biology, vol. 16, no. 2, 2019.
[31]
M. Wiesenberger et al., "Reproducibility, accuracy and performance of the FELTOR code and library on parallel computer architectures," Computer Physics Communications, vol. 238, pp. 145-156, 2019.
[32]
K. T. Blackwell et al., "Molecular mechanisms underlying striatal synaptic plasticity : relevance chronic alcohol consumption and seeking," European Journal of Neuroscience, vol. 49, no. 6, pp. 768-783, 2019.
[33]
G. H. Galal-Edeen et al., "HCI of Arabia : The challenges of HCI research in Egypt," interactions, vol. 26, no. 3, pp. 55-59, 2019.
[34]
L. Orellana et al., "Oncogenic mutations at the EGFR ectodomain structurally converge to remove a steric hindrance on a kinase-coupled cryptic epitope," Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 20, pp. 10009-10018, 2019.
[35]
G. Hahn et al., "Portraits of communication in neuronal networks," Nature Reviews Neuroscience, vol. 20, no. 2, pp. 117-127, 2019.
[36]
S. Narasimhamurthy et al., "SAGE : Percipient Storage for Exascale Data Centric Computing," Parallel Computing, vol. 83, pp. 22-33, 2019.
[37]
[38]
T. Lindeberg, "Provably scale-covariant networks from oriented quasi quadrature measures in cascade," in Scale Space and Variational Methods in Computer Vision, 2019, pp. 328-340.
[39]
C. Simmendinger et al., "Interoperability strategies for GASPI and MPI in large-scale scientific applications," The international journal of high performance computing applications, vol. 33, no. 3, pp. 554-568, 2019.
[40]
F. Mirus et al., "Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions," in ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2019, pp. 113-118.
[41]
E. Wärnberg and A. Kumar, "Perturbing low dimensional activity manifolds in spiking neuronal networks," PloS Computational Biology, vol. 15, no. 5, 2019.
[42]
H. Zhou et al., "Embedded Kinetic Simulation of Ganymede's Magnetosphere : Improvements and Inferences," Journal of Geophysical Research - Space Physics, vol. 124, no. 7, pp. 5441-5460, 2019.
[43]
F. Mirus, B. Zorn and J. Conradt, "Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture," in ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2019, pp. 649-654.
[44]
R. H. Martinez Mayorquin, A. Lansner and P. Herman, "Probabilistic associative learning suffices for learning the temporal structure of multiple sequences," PLoS ONE, vol. 14, no. 8, 2019.
[46]
R. Iakymchuk et al., "Hierarchical approach for deriving a reproducible unblocked LU factorization," The international journal of high performance computing applications, vol. 33, no. 5, pp. 791-803, 2019.
[47]
S. Aronsson et al., "Supporting after action review in simulator mission training : Co-creating visualization concepts for training of fast-jet fighter pilots," The Journal of Defence Modeling and Simulation : Applications, Methodology, Technology, vol. 16, no. 3, pp. 219-231, 2019.
[48]
L. Orellana et al., "eBDIMS server : protein transition pathways with ensemble analysis in 2D-motion spaces," Bioinformatics, vol. 35, no. 18, pp. 3505-3507, 2019.
[49]
X. Aguilar et al., "An On-Line Performance Introspection Framework for Task-Based Runtime Systems," in 19th International Conference on Computational Science, ICCS 2019, 2019, pp. 238-252.
[50]
S. Rivas Gomez et al., "Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks," in Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, 2019, pp. 921-927.
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Belongs to: Computational Science and Technology
Last changed: Feb 17, 2020