Bart Bussmann

According to our database, Bart Bussmann authored at least 8 papers between 2018 and 2025.

Collaborative distances:

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

2025

Learning Multi-Level Features with Matryoshka Sparse Autoencoders.

Bart Bussmann, Noa Nabeshima, Adam Karvonen, Neel Nanda

CoRR, March, 2025

Sparse Autoencoders Do Not Find Canonical Units of Analysis.

Patrick Leask, Bart Bussmann, Michael T. Pearce, Joseph Isaac Bloom, Curt Tigges, Noura Al Moubayed, Lee Sharkey, Neel Nanda

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning.

Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck

Ecol. Informatics, 2024

BatchTopK Sparse Autoencoders.

Bart Bussmann, Patrick Leask, Neel Nanda

CoRR, 2024

2021

Neural Additive Vector Autoregression Models for Causal Discovery in Time Series.

Bart Bussmann, Jannes Nys, Steven Latré

Proceedings of the Discovery Science - 24th International Conference, 2021

2020

Neural Additive Vector Autoregression Models for Causal Discovery in Time Series Data.

Bart Bussmann, Jannes Nys, Steven Latré

CoRR, 2020

2019

Towards Empathic Deep Q-Learning.

Bart Bussmann, Jacqueline Heinerman, Joel Lehman

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

2018

Benefits of Social Learning in Physical Robots.

Jacqueline Heinerman, Bart Bussmann, Rick Groenendijk, Emile van Krieken, Jesper Slik, Alessandro Tezza, Evert Haasdijk, A. E. Eiben

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018