Hampus Linander

According to our database, Hampus Linander authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Soft Geometric Inductive Bias for Object Centric Dynamics.

Hampus Linander, Conor Heins, Alexander Tschantz, Marco Perin, Christopher L. Buckley

CoRR, December, 2025

AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models.

Conor Heins, Toon Van de Maele, Alexander Tschantz, Hampus Linander, Dimitrije Markovic, Tommaso Salvatori, Corrado Pezzato, Ozan Çatal, Ran Wei, Magnus T. Koudahl, Marco Perin, Karl J. Friston, Tim Verbelen, Christopher L. Buckley

CoRR, May, 2025

PEAR: Equal Area Weather Forecasting on the Sphere.

Hampus Linander, Christoffer Petersson, Daniel Persson, Jan E. Gerken

CoRR, May, 2025

Bayesian Predictive Coding.

Alexander Tschantz, Magnus T. Koudahl, Hampus Linander, Lancelot Da Costa, Conor Heins, Jeff Beck, Christopher L. Buckley

CoRR, March, 2025

Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks.

Longde Huang, Oleksandr Balabanov, Hampus Linander, Mats Granath, Daniel Persson, Jan E. Gerken

CoRR, February, 2025

Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks.

Longde Huang, Oleksandr Balabanov, Hampus Linander, Mats Granath, Daniel Persson, Jan E. Gerken

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Bethe Predictive Coding.

Magnus T. Koudahl, Alexander Tschantz, Tommaso Salvatori, Hampus Linander, Lancelot Da Costa, Jeff Beck, Christopher Buckley

Proceedings of the Active Inference - 6th International Workshop, 2025

2024

Uncertainty quantification in fine-tuned LLMs using LoRA ensembles.

Oleksandr Balabanov, Hampus Linander

CoRR, 2024

HEAL-SWIN: A Vision Transformer on the Sphere.

Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spieß, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Looking at the posterior: accuracy and uncertainty of neural-network predictions.

Hampus Linander, Oleksandr Balabanov, Henry Yang, Bernhard Mehlig

Mach. Learn. Sci. Technol., December, 2023

Geometric deep learning and equivariant neural networks.

Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson

Artif. Intell. Rev., December, 2023

Finite-time Lyapunov exponents of deep neural networks.

L. Storm, Hampus Linander, J. Bec, Kristian Gustavsson, Bernhard Mehlig

CoRR, 2023

Bayesian Posterior Approximation With Stochastic Ensembles.

Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml.

Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip C. Harris

Mach. Learn. Sci. Technol., December, 2022

Looking at the posterior: on the origin of uncertainty in neural-network classification.

Hampus Linander, Oleksandr Balabanov, Henry Yang, Bernhard Mehlig

CoRR, 2022

Equivariance versus Augmentation for Spherical Images.

Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson

Proceedings of the International Conference on Machine Learning, 2022

2021

Fast convolutional neural networks on FPGAs with hls4ml.

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

Mach. Learn. Sci. Technol., 2021

Fast convolutional neural networks on FPGAs with hls4ml.

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

CoRR, 2021