Anton Björklund

According to our database, Anton Björklund authored at least 12 papers between 2019 and 2025.

Collaborative distances:

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

2025

Efficient Preimage Approximation for Neural Network Certification.

Anton Björklund, Mykola Zaitsev, Marta Kwiatkowska

CoRR, May, 2025

GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling.

Arash Jamshidi, Lauri Seppäläinen, Katsiaryna Haitsiukevich, Hoang Phuc Hau Luu, Anton Björklund, Kai Puolamäki

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

Interpretable and explainable machine learning for natural sciences ; Begriplig maskininlärning för naturvetenskaper.

Anton Björklund

PhD thesis, 2024

SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI.

Anton Björklund, Lauri Seppäläinen, Kai Puolamäki

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023

SLISEMAP: supervised dimensionality reduction through local explanations.

Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

Mach. Learn., January, 2023

Explaining any black box model using real data.

Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki

Frontiers Comput. Sci., 2023

Using Slisemap to interpret physical data.

Lauri Seppäläinen, Anton Björklund, Vitus Besel, Kai Puolamäki

CoRR, 2023

χiplot: Web-First Visualisation Platform for Multidimensional Data.

Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2022

Robust regression via error tolerance.

Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki

Data Min. Knowl. Discov., 2022

SLISEMAP: Explainable Dimensionality Reduction.

Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

CoRR, 2022

SLISEMAP: Combining Supervised Dimensionality Reduction with Local Explanations.

Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2019

Sparse Robust Regression for Explaining Classifiers.

Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki

Proceedings of the Discovery Science - 22nd International Conference, 2019