David A. Ehrlich

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 4

Top Topics

Training Process

Partial Information

Connectionist Networks

Continuous Variables

Top Venues

Trans. Mach. Learn. Res.

Publications

David A. Ehrlich, Kyle Schick-Poland, Abdullah Makkeh, Felix Lanfermann, Patricia Wollstadt, Michael Wibral
Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation. CoRR (2023)
Marcel Graetz, Abdullah Makkeh, Andreas C. Schneider, David A. Ehrlich, Viola Priesemann, Michael Wibral
Infomorphic networks: Locally learning neural networks derived from partial information decomposition. CoRR (2023)
David A. Ehrlich, Andreas C. Schneider, Viola Priesemann, Michael Wibral, Abdullah Makkeh
A Measure of the Complexity of Neural Representations based on Partial Information Decomposition. Trans. Mach. Learn. Res. 2023 (2023)
David A. Ehrlich, Andreas C. Schneider, Michael Wibral, Viola Priesemann, Abdullah Makkeh
Partial Information Decomposition Reveals the Structure of Neural Representations. CoRR (2022)