Hampus Linander

@gu.se

Researcher at Department of Mathematical Sciences
Chalmers university of technology



        

https://researchid.co/hlinander

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Geometry and Topology

390

Scholar Citations

8

Scholar h-index

8

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
    O Balabanov, H Linander
    arXiv preprint arXiv:2402.12264 2024

  • Finite-Time Lyapunov Exponents of Deep Neural Networks
    BM L. Storm, H. Linander, J. Bec, K. Gustavsson
    Phys. Rev. Lett 132 2024

  • Heal-swin: A vision transformer on the sphere
    O Carlsson, JE Gerken, H Linander, H Spie, F Ohlsson, C Petersson, ...
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern 2024

  • 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

  • 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

  • Finite-time Lyapunov exponents of deep neural networks
    L Storm, H Linander, J Bec, K Gustavsson, B Mehlig
    arXiv preprint arXiv:2306.12548 2023

  • Bayesian posterior approximation with stochastic ensembles
    O Balabanov, B Mehlig, H Linander
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern 2023

  • 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

  • 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

  • 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

  • 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

  • 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

  • (2, 0) Theory and Higher Spin: Twisting, Turning and Spinning Towards Higher Energies
    H Linander
    PQDT-Global 2016

  • Off-shell structure of twisted (2, 0) theory
    U Gran, H Linander, BEW Nilsson
    Journal of High Energy Physics 2014 (11), 1-13 2014

  • The trouble with twisting (2, 0) theory
    L Anderson, H Linander
    Journal of High Energy Physics 2014 (3), 1-19 2014

  • Twisting and Turning in Six Dimensions
    H Linander
    PQDT-Global 2014

  • (2, 0) theory on circle fibrations
    H Linander, F Ohlsson
    Journal of High Energy Physics 2012 (1), 1-22 2012

  • (2, 0) theory on circle fibrations
    L Hampus, O Fredrik
    Journal of High Energy Physics 2012 (1) 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

MOST CITED SCHOLAR PUBLICATIONS

  • 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
    Citations: 156

  • 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
    Citations: 81

  • 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
    Citations: 31

  • 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
    Citations: 29

  • 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
    Citations: 24

  • (2, 0) theory on circle fibrations
    H Linander, F Ohlsson
    Journal of High Energy Physics 2012 (1), 1-22 2012
    Citations: 19

  • Off-shell structure of twisted (2, 0) theory
    U Gran, H Linander, BEW Nilsson
    Journal of High Energy Physics 2014 (11), 1-13 2014
    Citations: 12

  • Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
    O Balabanov, H Linander
    arXiv preprint arXiv:2402.12264 2024
    Citations: 11

  • The trouble with twisting (2, 0) theory
    L Anderson, H Linander
    Journal of High Energy Physics 2014 (3), 1-19 2014
    Citations: 8

  • Finite-Time Lyapunov Exponents of Deep Neural Networks
    BM L. Storm, H. Linander, J. Bec, K. Gustavsson
    Phys. Rev. Lett 132 2024
    Citations: 7

  • Bayesian posterior approximation with stochastic ensembles
    O Balabanov, B Mehlig, H Linander
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern 2023
    Citations: 5

  • Heal-swin: A vision transformer on the sphere
    O Carlsson, JE Gerken, H Linander, H Spie, F Ohlsson, C Petersson, ...
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern 2024
    Citations: 3

  • 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
    Citations: 2

  • (2, 0) Theory and Higher Spin: Twisting, Turning and Spinning Towards Higher Energies
    H Linander
    PQDT-Global 2016
    Citations: 2