activity
20192023
most citedExact Spectral Norm Regularization for Neural Networks

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.MA2023

AI Tool for Exploring How Economic Activities Impact Local Ecosystems

Claes Strannegård, Niklas Engsner, Rasmus Lindgren +2

We present an AI-based ecosystem simulator that uses three-dimensional models of the terrain and animal models controlled by deep reinforcement learning. The simulations take place…

stat.ML2022★ 1 cited

Exact Spectral Norm Regularization for Neural Networks

Anton Johansson, Claes Strannegård, Niklas Engsner +1

We pursue a line of research that seeks to regularize the spectral norm of the Jacobian of the input-output mapping for deep neural networks. While previous work rely on upper boun…

cs.AI2021

The Ecosystem Path to General AI

Claes Strannegård, Niklas Engsner, Pietro Ferrari +5

We start by discussing the link between ecosystem simulators and general AI. Then we present the open-source ecosystem simulator Ecotwin, which is based on the game engine Unity an…

stat.ML2021

Slope and generalization properties of neural networks

Anton Johansson, Niklas Engsner, Claes Strannegård +1

Neural networks are very successful tools in for example advanced classification. From a statistical point of view, fitting a neural network may be seen as a kind of regression, wh…

cs.LG2019

Lifelong Learning Starting From Zero

Claes Strannegård, Herman Carlström, Niklas Engsner +3

We present a deep neural-network model for lifelong learning inspired by several forms of neuroplasticity. The neural network develops continuously in response to signals from the…