Skip to main content
To KTH's start page

CST Publications

CST's 50 Most Recent Publications

[1]
P. R. Hegde et al., "A hybrid quantum-classical particle-in-cell method for plasma simulations," Future Generation Computer Systems, vol. 175, 2026.
[2]
G. Netzer et al., "Tightly-integrated quantum–classical computing using the QHDL hardware description language," Future Generation Computer Systems, vol. 174, 2026.
[3]
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.
[4]
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.
[5]
W. Liu et al., "Resource allocation models and heuristics for the multi-project scheduling with global resource transfers and local resource constraints," Computers & industrial engineering, vol. 200, 2025.
[6]
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.
[7]
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.
[8]
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.
[9]
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.
[10]
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.
[11]
L. Cao et al., "GenCeption: Evaluate vision LLMs with unlabeled unimodal data," Computer speech & language (Print), vol. 93, 2025.
[12]
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.
[13]
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.
[14]
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.
[15]
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.
[16]
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.
[17]
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.
[18]
S. Tkacz-Domb et al., "Attention to a point in time causes a suppressive wake for subsequent time points," Cold Spring Harbor Laboratory, 2025.
[19]
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.
[20]
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.
[21]
D. Araújo De Medeiros et al., "ARC-V : Vertical Resource Adaptivity for HPC Workloads in Containerized Environments," in 31st International European Conference on Parallel and Distributed Computing, 2025.
[22]
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.
[23]
J. Pedersen, J. Conradt and T. Lindeberg, "Covariant spatio-temporal receptive fields for spiking neural networks," , 2025.
[24]
P. Bouvry et al., "The European master for HPC curriculum," Journal of Parallel and Distributed Computing, vol. 201, 2025.
[25]
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.
[26]
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.
[27]
R. Guarese et al., "A Scoping Review and Expert Recommendations for Immersive Solutions towards Predictive Maintenance," in Proceedings 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2025.
[28]
J. Kronborg and J. Hoffman, "Fluid-Structure Interaction Simulation of Mitral Valve Structures in a Left Ventricle Model," International Journal for Numerical Methods in Engineering, vol. 126, no. 8, 2025.
[29]
J. P. Romero Bermudez et al., "Low-latency neuromorphic air hockey player," Neuromorphic Computing and Engineering, vol. 5, no. 2, 2025.
[30]
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.
[31]
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.
[32]
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.
[33]
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.
[34]
A. Solana, E. Fransén and G. Uribarri, "Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble : An Improved ROCKET Algorithm for Multivariate Time Series Analysis," in Advanced Analytics and Learning on Temporal Data, Lemaire, Vincent; Ifrim, Georgiana; Bagnall, Anthony; Guyet, Thomas; Malinowski, Simon; SchÀfer, Patrick; Tavenard, Romain Ed., : Springer Nature, 2025, pp. 96-114.
[35]
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.
[36]
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.
[37]
K. af Edholm et al., "Cortical response to proprioceptive stimulation in primary orthostatic tremor-a magnetoencephalography study," Clinical Neurophysiology Practice, vol. 10, pp. 159-166, 2025.
[38]
M. Gokan Khan et al., "PerfCam : Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models," IEEE Access, pp. 1-1, 2025.
[39]
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.
[40]
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.
[41]
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," Journal of Mathematical Imaging and Vision, vol. 67, no. 3, pp. 29:1-29:39, 2025.
[42]
T. Lindeberg, "Unified theory for joint covariance properties under geometric image transformations for spatio-temporal receptive fields according to the generalized Gaussian derivative model for visual receptive fields," Journal of Mathematical Imaging and Vision, vol. 67, pp. 44:1-44:49, 2025.
[43]
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.
[44]
M. M. Vasiliu et al., "Towards Enhancing Industrial Training Through Conversational AI," in CUI '25: Proceedings of the 7th ACM Conference on Conversational User Interfaces, 2025.
[45]
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.
[46]
K. Chhatre et al., "Evaluating Speech and Video Models for Face-Body Congruence," in I3D Companion '25: Companion Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2025.
[47]
E. Pascoe, C. Peters and S. Zojaji, "Human Obedience and Social Norm Adherence in Small Groups with Virtual Agents," in Virtual, Augmented and Mixed Reality - 17th International Conference, VAMR 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings, 2025, pp. 155-174.
[48]
S. Zojaji et al., "Influence of Floor Type on Social Navigation with Small Free-Standing Groups in Virtual Reality," in Virtual, Augmented and Mixed Reality - 17th International Conference, VAMR 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings, 2025, pp. 280-298.
[49]
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.
[50]
V. Zampinetti, H. Melin and J. Lagergren, "Sampling random spanning arborescences in graphs with low conductance," Statistics and Probability Letters, vol. 226, 2025.
Full list in the KTH publications portal