Fast convolutional neural networks on FPGAs with hls4ml T Aarrestad, V Loncar, N Ghielmetti, M Pierini, S Summers, J Ngadiuba, ... Machine Learning: Science and Technology 2 (4), 045015, 2021 | 127 | 2021 |
Geometric deep learning and equivariant neural networks JE Gerken, J Aronsson, O Carlsson, H Linander, F Ohlsson, C Petersson, ... Artificial Intelligence Review 56 (12), 14605-14662, 2023 | 60 | 2023 |
The non-linear coupled spin 2-spin 3 Cotton equation in three dimensions H Linander, BEW Nilsson Journal of High Energy Physics 2016 (7), 1-45, 2016 | 24 | 2016 |
Equivariance versus Augmentation for Spherical Images J Gerken, O Carlsson, H Linander, F Ohlsson, C Petersson, D Persson International Conference on Machine Learning, 7404-7421, 2022 | 22 | 2022 |
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml N Ghielmetti, V Loncar, M Pierini, M Roed, S Summers, T Aarrestad, ... Machine Learning: Science and Technology 3 (4), 045011, 2022 | 21 | 2022 |
(2, 0) theory on circle fibrations H Linander, F Ohlsson Journal of High Energy Physics 2012 (1), 1-22, 2012 | 19 | 2012 |
Off-shell structure of twisted (2, 0) theory U Gran, H Linander, BEW Nilsson Journal of High Energy Physics 2014 (11), 1-13, 2014 | 12 | 2014 |
The trouble with twisting (2, 0) theory L Anderson, H Linander Journal of High Energy Physics 2014 (3), 1-19, 2014 | 8 | 2014 |
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles O Balabanov, H Linander arXiv preprint arXiv:2402.12264, 2024 | 5 | 2024 |
Finite-Time Lyapunov Exponents of Deep Neural Networks BM L. Storm, H. Linander, J. Bec, K. Gustavsson Phys. Rev. Lett 132, 2024 | 5 | 2024 |
Bayesian posterior approximation with stochastic ensembles O Balabanov, B Mehlig, H Linander Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
HEAL-SWIN: A Vision Transformer On The Sphere O Carlsson, JE Gerken, H Linander, H Spieß, F Ohlsson, C Petersson, ... arXiv preprint arXiv:2307.07313, 2023 | 3 | 2023 |
Looking at the posterior: accuracy and uncertainty of neural-network predictions H Linander, O Balabanov, H Yang, B Mehlig Machine Learning: Science and Technology 4 (4), 045032, 2023 | 2 | 2023 |
(2, 0) Theory and Higher Spin: Twisting, Turning and Spinning Towards Higher Energies H Linander PQDT-Global, 2016 | 2 | 2016 |
Finite-time Lyapunov exponents of deep neural networks L Storm, H Linander, J Bec, K Gustavsson, B Mehlig arXiv preprint arXiv:2306.12548, 2023 | | 2023 |
Looking at the posterior: on the origin of uncertainty in neural-network classification H Linander, O Balabanov, H Yang, B Mehlig arXiv e-prints, arXiv: 2211.14605, 2022 | | 2022 |
Twisting and Turning in Six Dimensions H Linander PQDT-Global, 2014 | | 2014 |
(2, 0) theory on circle fibrations L Hampus, O Fredrik Journal of High Energy Physics 2012 (1), 2012 | | 2012 |
Free (2, 0) Theory on a Circle Fibration H Linander | | 2011 |
Supplemental material: Bayesian posterior approximation with stochastic ensembles O Balabanov, B Mehlig, H Linander dim (θ) 101, 2, 0 | | |