Niklas Engsner

According to our database, Niklas Engsner authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Survival games for humans and machines.

Claes Strannegård, Niklas Engsner, Simon Ulfsbäcker, Sebastian Andreasson, John A. Endler, Ann Nordgren

Cogn. Syst. Res., 2024

2023

Exploring local effects of economic activities using agent-based ecosystem models.

Claes Strannegård, Niklas Engsner, Rasmus Lindgren, Simon Olsson, John A. Endler

CoRR, 2023

Improved Spectral Norm Regularization for Neural Networks.

Anton Johansson, Niklas Engsner, Claes Strannegård, Petter Mostad

Proceedings of the Modeling Decisions for Artificial Intelligence, 2023

2022

Exact Spectral Norm Regularization for Neural Networks.

Anton Johansson, Claes Strannegård, Niklas Engsner, Petter Mostad

CoRR, 2022

Ecosystem Models Based on Artificial Intelligence.

Claes Strannegård, Niklas Engsner, Jesper Eisfeldt, John A. Endler, Amanda Hansson, Rasmus Lindgren, Petter Mostad, Simon Olsson, Irene Perini, Heather Reese, Fulya Taylan, Simon Ulfsbäcker, Ann Nordgren

Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

Slope and Generalization Properties of Neural Networks.

Anton Johansson, Niklas Engsner, Claes Strannegård, Petter Mostad

Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

2021

The Ecosystem Path to General AI.

Claes Strannegård, Niklas Engsner, Pietro Ferrari, Hans Glimmerfors, Marcus Hilding Södergren, Tobias Karlsson, Birger Kleve, Victor Skoglund

CoRR, 2021

The Ecosystem Path to AGI.

Claes Strannegård, Niklas Engsner, Pietro Ferrari, Hans Glimmerfors, Marcus Hilding Södergren, Tobias Karlsson, Birger Kleve, Victor Skoglund

Proceedings of the Artificial General Intelligence - 14th International Conference, 2021

2020

Combining Evolution and Learning in Computational Ecosystems.

Claes Strannegård, Wen Xu, Niklas Engsner, John A. Endler

J. Artif. Gen. Intell., 2020

2019

Lifelong Learning Starting from Zero.

Claes Strannegård, Herman Carlström, Niklas Engsner, Fredrik Mäkeläinen, Filip Slottner Seholm, Morteza Haghir Chehreghani

Proceedings of the Artificial General Intelligence - 12th International Conference, 2019