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ORCIDHampus Linander
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2020 – today
- 2024
[c3]Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spieß, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
HEAL-SWIN: A Vision Transformer on the Sphere. CVPR 2024: 6067-6077- [i9]Oleksandr Balabanov, Hampus Linander:
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles. CoRR abs/2402.12264 (2024) - 2023
- [j4]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): 14605-14662 (2023) - [j3]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): 45032 (2023) - [c2]Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander:
Bayesian Posterior Approximation With Stochastic Ensembles. CVPR 2023: 13701-13711 - [i8]L. Storm, Hampus Linander, J. Bec, Kristian Gustavsson, Bernhard Mehlig:
Finite-time Lyapunov exponents of deep neural networks. CoRR abs/2306.12548 (2023) - [i7]Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spieß, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
HEAL-SWIN: A Vision Transformer On The Sphere. CoRR abs/2307.07313 (2023) - 2022
- [j2]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): 45011 (2022) - [c1]Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
Equivariance versus Augmentation for Spherical Images. ICML 2022: 7404-7421 - [i6]Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
Equivariance versus Augmentation for Spherical Images. CoRR abs/2202.03990 (2022) - [i5]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 abs/2205.07690 (2022) - [i4]Hampus Linander, Oleksandr Balabanov, Henry Yang, Bernhard Mehlig:
Looking at the posterior: on the origin of uncertainty in neural-network classification. CoRR abs/2211.14605 (2022) - [i3]Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander:
Bayesian posterior approximation with stochastic ensembles. CoRR abs/2212.08123 (2022) - 2021
- [j1]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): 45015 (2021) - [i2]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 abs/2101.05108 (2021) - [i1]Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
Geometric Deep Learning and Equivariant Neural Networks. CoRR abs/2105.13926 (2021)
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