Brennan Klein

According to our database, Brennan Klein authored at least 13 papers between 2015 and 2023.

Collaborative distances:

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

2023

A consolidated framework for quantifying interaction dynamics.

Brennan Klein

Nat. Comput. Sci., 2023

An Analytical Model of Active Inference in the Iterated Prisoner's Dilemma.

Daphne Demekas, Conor Heins, Brennan Klein

Proceedings of the Active Inference - 4th International Workshop, 2023

2022

pymdp: A Python library for active inference in discrete state spaces.

Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz

J. Open Source Softw., 2022

Designing Ecosystems of Intelligence from First Principles.

Karl J. Friston, Maxwell J. D. Ramstead, Alex B. Kiefer, Alexander Tschantz, Christopher L. Buckley, Mahault Albarracin, Riddhi J. Pitliya, Conor Heins, Brennan Klein, Beren Millidge, Dalton A. R. Sakthivadivel, Toby St Clere Smithe, Magnus T. Koudahl, Safae Essafi Tremblay, Capm Petersen, Kaiser Fung, Jason G. Fox, Steven Swanson, Dan Mapes, Gabriel René

CoRR, 2022

BiaScope: Visual Unfairness Diagnosis for Graph Embeddings.

Agapi Rissaki, Bruno Scarone, David Liu, Aditeya Pandey, Brennan Klein, Tina Eliassi-Rad, Michelle A. Borkin

CoRR, 2022

Spin Glass Systems as Collective Active Inference.

Conor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera, Christopher L. Buckley

Proceedings of the Active Inference - Third International Workshop, 2022

2021

netrd: A library for network reconstruction and graph distances.

Stefan McCabe, Leo Torres, Timothy LaRock, Syed Arefinul Haque, Chia-Hung Yang, Harrison Hartle, Brennan Klein

J. Open Source Softw., 2021

2020

Network comparison and the within-ensemble graph distance.

Harrison Hartle, Brennan Klein, Stefan McCabe, Alexander Daniels, Guillaume St-Onge, Charles Murphy, Laurent Hébert-Dufresne

CoRR, 2020

The Emergence of Informative Higher Scales in Complex Networks.

Brennan Klein, Erik Hoel

Complex., 2020

2019

Finding the right scale of a network: Efficient identification of causal emergence through spectral clustering.

Ross Griebenow, Brennan Klein, Erik Hoel

CoRR, 2019

Uncertainty and causal emergence in complex networks.

Brennan Klein, Erik Hoel

CoRR, 2019

2018

Fast Model-Selection through Adapting Design of Experiments Maximizing Information Gain.

Stefano Balietti, Brennan Klein, Christoph Riedl

CoRR, 2018

2015

Body-centric and world-centric components of the large-scale horizontal-vertical illusion.

Frank H. Durgin, Zhi Li, Brennan Klein

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015