Wibral, Michael

6 publications

ICLRW 2025 Associative Memory Learning Through Redundancy Maximization Mark Blümel, Andreas Christian Schneider, David Alexander Ehrlich, Valentin Neuhaus, Marcel Graetz, Michael Wibral, Abdullah Makkeh, Viola Priesemann

ICLR 2025 What Should a Neuron Aim for? Designing Local Objective Functions Based on Information Theory Andreas Christian Schneider, Valentin Neuhaus, David Alexander Ehrlich, Abdullah Makkeh, Alexander S Ecker, Viola Priesemann, Michael Wibral

NeurIPSW 2024 What Should a Neuron Aim for? Designing Local Objective Functions Based on Information Theory Andreas Christian Schneider, Valentin Neuhaus, David Alexander Ehrlich, Alexander S Ecker, Abdullah Makkeh, Viola Priesemann, Michael Wibral

TMLR 2023 A Measure of the Complexity of Neural Representations Based on Partial Information Decomposition David Alexander Ehrlich, Andreas Christian Schneider, Viola Priesemann, Michael Wibral, Abdullah Makkeh

JMLR 2023 A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition Patricia Wollstadt, Sebastian Schmitt, Michael Wibral

NeurIPS 2021 Estimating the Unique Information of Continuous Variables Ari Pakman, Amin Nejatbakhsh, Dar Gilboa, Abdullah Makkeh, Luca Mazzucato, Michael Wibral, Elad Schneidman