Hampus Linander

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Spherical Images

Top Venues

Mach. Learn. Sci. Technol.

Artif. Intell. Rev.

Publications

Oleksandr Balabanov, Hampus Linander
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles. CoRR (2024)
Hampus Linander, Oleksandr Balabanov, Henry Yang, Bernhard Mehlig
Looking at the posterior: accuracy and uncertainty of neural-network predictions. Mach. Learn. Sci. Technol. 4 (4) (2023)
Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
Geometric deep learning and equivariant neural networks. Artif. Intell. Rev. 56 (12) (2023)
Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spieß, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
HEAL-SWIN: A Vision Transformer On The Sphere. CoRR (2023)
L. Storm, Hampus Linander, J. Bec, Kristian Gustavsson, Bernhard Mehlig
Finite-time Lyapunov exponents of deep neural networks. CoRR (2023)
Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander
Bayesian Posterior Approximation With Stochastic Ensembles. CVPR (2023)
Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip C. Harris
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml. CoRR (2022)
Hampus Linander, Oleksandr Balabanov, H. Yang, Bernhard Mehlig
Looking at the posterior: on the origin of uncertainty in neural-network classification. CoRR (2022)
Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
Equivariance versus Augmentation for Spherical Images. CoRR (2022)
Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander
Bayesian posterior approximation with stochastic ensembles. CoRR (2022)
Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip C. Harris
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml. Mach. Learn. Sci. Technol. 3 (4) (2022)
Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
Equivariance versus Augmentation for Spherical Images. ICML (2022)
Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
Geometric Deep Learning and Equivariant Neural Networks. CoRR (2021)
Thea Aarrestad, Vladimir Loncar, Nicolò Ghielmetti, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Christoffer Petersson, Hampus Linander, Yutaro Iiyama, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang
Fast convolutional neural networks on FPGAs with hls4ml. Mach. Learn. Sci. Technol. 2 (4) (2021)
Thea Aarrestad, Vladimir Loncar, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Christoffer Petersson, Hampus Linander, Yutaro Iiyama, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang
Fast convolutional neural networks on FPGAs with hls4ml. CoRR (2021)