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CST Publications

CST's 50 Most Recent Publications

[1]
G. Netzer et al., "Tightly-integrated quantum–classical computing using the QHDL hardware description language," Future Generation Computer Systems, vol. 174, 2026.
[2]
P. R. Hegde et al., "A hybrid quantum-classical particle-in-cell method for plasma simulations," Future Generation Computer Systems, vol. 175, 2026.
[3]
R. Shi et al., "ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace," in Euro-Par 2025: Parallel Processing - 31st European Conference on Parallel and Distributed Processing, Proceedings, 2026, pp. 33-47.
[4]
Z. BagheriFard et al., "Enhancing Manufacturing Training Through Augmented Situated Visualization," in Human-Computer Interaction – INTERACT 2025 - 20th IFIP TC 13 International Conference, 2025, Proceedings, 2026, pp. 66-71.
[5]
S. Markidis, L. Grandinetti and M. Taufer, "Editorial on future generation computer systems (FGCS) special collection on advances in quantum computing : methods, algorithms, and systems Vol II," Future Generation Computer Systems, vol. 174, 2026.
[6]
A. Perez Martinez et al., "Compression of turbulence time series data using Gaussian process regression," Computer Physics Communications, vol. 319, 2026.
[7]
K. Chhatre, C. Peters and S. Karanam, "Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts," in The 40th Annual AAAI Conference on Artificial Intelligence, Jan 20-27, 2026, Singapore, 2026.
[8]
M. Karp et al., "Effects of lower floating-point precision on scale-resolving numerical simulations of turbulence," Journal of Computational Physics, vol. 549, 2026.
[9]
K. af Edholm et al., "Orthostatic Tremor Is Evoked by Muscle Load Without the Need for Orthostatic Position," Movement Disorders Clinical Practice, vol. 13, no. 1, pp. 208-215, 2026.
[10]
J. E. Pedersen, T. Lindeberg and P. Gerstoft, "Scale-covariant spiking wavelets," , 2026.
[11]
J. J. Williams et al., "Integrating High Performance In-Memory Data Streaming and In-Situ Visualization in Hybrid MPI+OpenMP PIC MC Simulations Towards Exascale," The international journal of high performance computing applications, 2026.
[12]
Y. Ju et al., "Dynamic Resource Management for In-Situ Techniques Using MPI-Sessions," in Recent advances in the message passing interface, EUROMPI 2024, 2025, pp. 105-120.
[13]
A. S. Penamakuri, K. Chhatre and A. Jain, "Audiopedia : Audio QA with Knowledge," in International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2025, 2025.
[14]
N. Jansson et al., "Design of Neko—A Scalable High‐Fidelity Simulation Framework With Extensive Accelerator Support," Concurrency and Computation, vol. 37, no. 2, 2025.
[15]
N. Haloi et al., "Adaptive sampling-based structural prediction reveals opening of a GABAA receptor through the αβ interface," Science Advances, vol. 11, no. 2, 2025.
[16]
L. Tauffer and A. Kumar, "Short-Term Synaptic Plasticity Makes Neurons Sensitive to the Distribution of Presynaptic Population Firing Rates (vol 8, ENEURO.0297-20.2021, 2021)," eNeuro, vol. 12, no. 1, pp. 1-1, 2025.
[17]
T. Lindeberg, "A time-causal and time-recursive analogue of the Gabor transform," IEEE Transactions on Information Theory, vol. 71, no. 2, pp. 1450-1480, 2025.
[18]
T. Lindeberg, "Orientation selectivity properties for the affine Gaussian derivative and the affine Gabor models for visual receptive fields," Journal of Computational Neuroscience, vol. 53, no. 1, pp. 61-98, 2025.
[19]
A. Perzanowski and T. Lindeberg, "Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations," , 2025.
[20]
J. Jansson and K. Wingstedt, "Adaptive Euler - First Principles Fast Prediction of High-Lift Aerodynamics," in AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025, 2025.
[21]
P. Taborsky et al., "Towards a European HPC/AI ecosystem : A community-driven report," in Proceedings of the 2nd EuroHPC user day, 2025, pp. 140-149.
[22]
I. B. Peng et al., "UMap: An application-oriented user level memory mapping library," The international journal of high performance computing applications, vol. 39, no. 2, pp. 269-282, 2025.
[23]
F. Bragone, "Scientific Machine Learning for Forward and Inverse Problems : Physics-Informed Neural Networks and Machine Learning Algorithms with Applications to Dynamical Systems," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:44, 2025.
[24]
S. Tkacz-Domb et al., "Attention to a point in time causes a suppressive wake for subsequent time points," Cold Spring Harbor Laboratory, 2025.
[25]
D. Araújo De Medeiros, "Towards Adaptive Resource Management for HPC Workloads in Cloud Environments," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:51, 2025.
[26]
N. Chrysanthidis, "Neurocomputational mechanisms of memory – Hebbian plasticity across short and long timescales," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:52, 2025.
[27]
J. Pedersen, J. Conradt and T. Lindeberg, "Covariant spatio-temporal receptive fields for spiking neural networks," , 2025.
[28]
P. Bouvry et al., "The European master for HPC curriculum," Journal of Parallel and Distributed Computing, vol. 201, 2025.
[29]
S. Zojaji, Y. I. Nakano and C. Peters, "Impact of Cultural Differences and Politeness on Joining Small Groups of Humans, Robots, and Virtual Characters," in HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, pp. 479-488.
[30]
D. Wang et al., "Scalable Multi-FPGA HPC Architecture for Associative Memory System," IEEE Transactions on Biomedical Circuits and Systems, vol. 19, no. 2, pp. 454-468, 2025.
[31]
J. P. Romero Bermudez et al., "Low-latency neuromorphic air hockey player," Neuromorphic Computing and Engineering, vol. 5, no. 2, 2025.
[32]
T. Lindeberg, "Approximation properties relative to continuous scale space for hybrid discretisations of Gaussian derivative operators," Frontiers in Signal Processing, vol. 4, pp. 1447841:1-1447841:12, 2025.
[33]
J. J. Williams et al., "Accelerating Particle-in-Cell Monte Carlo Simulations with MPI, OpenMP/OpenACC and Asynchronous Multi-GPU Programming," Journal of Computational Science, vol. 88, 2025.
[34]
A. Hotti, "Black-Box Variational Inference : Mixture Models, Efficient Learning, and Applications," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:50, 2025.
[35]
Y. He, "Domain-Specific Compilation Framework with High-Level Tensor Abstraction for Fast Fourier Transform and Finite-Difference Time-Domain Methods," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:67, 2025.
[36]
Z. Duan et al., "In vivo estimation of motor unit intrinsic properties in individuals with spinal cord injury," Journal of NeuroEngineering and Rehabilitation, vol. 22, no. 1, 2025.
[37]
M. Lenninger and A. Kumar, "How sub-optimal are the neural representations : show me your null model," Journal of Neurophysiology, vol. 133, no. 4, pp. 1083-1085, 2025.
[38]
A. Haerianardakani and G. Taheri, "GenePioneer : a comprehensive Python package for identification of essential genes and modules in cancer," BIOINFORMATICS ADVANCES, vol. 5, no. 1, 2025.
[39]
D. Araújo De Medeiros et al., "Understanding Layered Portability from HPC to Cloud in Containerized Environments," in Proceedings High Performance Computing. ISC High Performance 2024 International Workshops, 2025, pp. 439-452.
[40]
N. Ho et al., "Memory Prefetching Evaluation of Scientific Applications on a Modern HPC Arm-Based Processor," IEEE Access, vol. 13, pp. 85898-85926, 2025.
[41]
T. Lindeberg, "Relationships between the degrees of freedom in the affine Gaussian derivative model for visual receptive fields and 2-D affine image transformations with application to covariance properties of simple cells in the primary visual cortex," Biological Cybernetics, vol. 119, no. 2-3, pp. 15:1-15:25, 2025.
[42]
L. Guo, "From neuron to network : connectivity of microcircuits and dynamical consequences," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:77, 2025.
[43]
T. Lindeberg, "Orientation selectivity properties for integrated affine quasi quadrature models of complex cells," , 2025.
[44]
M. Andersson, "Methods for Solving Large-scale Linear Systems in Scientific Computing : Preconditioners and Performance Portability," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:75, 2025.
[45]
E. Aurell, L. Brizhik and T. Bryk, "An international physics conference in Ukraine," Nature Reviews Physics, vol. 2025, no. 7, pp. 464-465, 2025.
[46]
T. Lindeberg, "Do the receptive fields in the primary visual cortex span a variability over the degree of elongation of the receptive fields?," Journal of Computational Neuroscience, vol. 53, no. 3, pp. 397-417, 2025.
[47]
T. Lindeberg, Z. Babaiee and P. M. Kiasari, "Modelling and analysis of the 8 filters from the "master key filters hypothesis" for depthwise-separable deep networks in relation to idealized receptive fields based on scale-space theory," , 2025.
[48]
K. Chhatre et al., "Evaluation of generative models for emotional 3D animation generation in VR," Frontiers in Computer Science, vol. 7, 2025.
[49]
N. B. Ravichandran, A. Lansner and P. Herman, "Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks," Neurocomputing, vol. 626, 2025.
[50]
M. I. Al Hafiz et al., "A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks," in Applied Reconfigurable Computing. Architectures, Tools, and Applications - 21st International Symposium, ARC 2025, Proceedings, 2025, pp. 196-213.
Full list in the KTH publications portal