| Bits and pieces: Understanding information decomposition from part-whole relationships and formal logic AJ Gutknecht, M Wibral, A Makkeh Proceedings of the Royal Society A 477 (2251), 20210110, 2021 | 81 | 2021 |
| Introducing a differentiable measure of pointwise shared information A Makkeh, AJ Gutknecht, M Wibral Physical Review E 103 (3), 032149, 2021 | 48* | 2021 |
| BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition A Makkeh, DO Theis, R Vicente Entropy 20 (4), 271, 2018 | 34 | 2018 |
| Estimating the unique information of continuous variables A Pakman, A Nejatbakhsh, D Gilboa, A Makkeh, L Mazzucato, M Wibral, ... Advances in neural information processing systems 34, 20295-20307, 2021 | 31 | 2021 |
| Bivariate partial information decomposition: The optimization perspective A Makkeh, DO Theis, R Vicente Entropy 19 (10), 530, 2017 | 31 | 2017 |
| A measure of the complexity of neural representations based on partial information decomposition DA Ehrlich, AC Schneider, V Priesemann, M Wibral, A Makkeh arXiv preprint arXiv:2209.10438, 2022 | 29* | 2022 |
| A partial information decomposition for discrete and continuous variables K Schick-Poland, A Makkeh, AJ Gutknecht, P Wollstadt, A Sturm, M Wibral arXiv preprint arXiv:2106.12393, 2021 | 22 | 2021 |
| Partial information decomposition for continuous variables based on shared exclusions: Analytical formulation and estimation DA Ehrlich, K Schick-Poland, A Makkeh, F Lanfermann, P Wollstadt, ... Physical Review E 110 (1), 014115, 2024 | 6 | 2024 |
| Infomorphic networks: Locally learning neural networks derived from partial information decomposition M Graetz, A Makkeh, AC Schneider, DA Ehrlich, V Priesemann, M Wibral | 5 | 2023 |
| On the graph of the pedigree polytope A Makkeh, M Pourmoradnasseri, DO Theis arXiv preprint arXiv:1611.08431, 2016 | 5 | 2016 |
| MAXENT3D_PID: An estimator for the maximum-entropy trivariate partial information decomposition A Makkeh, D Chicharro, DO Theis, R Vicente Entropy 21 (9), 862, 2019 | 4 | 2019 |
| Applications of Optimization in Some Complex Systems A Makkeh Ph. D. Thesis, University of Tartu, Tartu, Estonia, 2018 | 4 | 2018 |
| Optimizing bivariate partial information decomposition A Makkeh, DO Theis arXiv preprint arXiv:1802.03947, 2018 | 4 | 2018 |
| From Babel to Boole: The Logical Organization of Information Decompositions AJ Gutknecht, A Makkeh, M Wibral arXiv preprint arXiv:2306.00734, 2023 | 3 | 2023 |
| Quantifying reinforcement-learning agent’s autonomy, reliance on memory and internalisation of the environment A Ingel, A Makkeh, O Corcoll, R Vicente Entropy 24 (3), 401, 2022 | 3 | 2022 |
| The graph of the pedigree polytope is asymptotically almost complete A Makkeh, M Pourmoradnasseri, DO Theis Algorithms and Discrete Applied Mathematics: Third International Conference …, 2017 | 2 | 2017 |
| Attention manipulation in reinforcement learning agents O Corcoll, A Makkeh, J Aru, D Oliver Theis, R Vicente Proceedings of the Conference on Cognitive Computational Neuroscience, CCN …, 2019 | 1 | 2019 |
| What should a neuron aim for? Designing local objective functions based on information theory AC Schneider, V Neuhaus, DA Ehrlich, A Makkeh, AS Ecker, ... arXiv preprint arXiv:2412.02482, 2024 | | 2024 |
| A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions A Makkeh, M Graetz, AC Schneider, DA Ehrlich, V Priesemann, M Wibral arXiv preprint arXiv:2306.02149, 2023 | | 2023 |
| Partial Information Decomposition of Boolean Functions: a Fourier Analysis perspective A Makkeh, DO Theis, R Vicente arXiv preprint arXiv:2010.06976, 2020 | | 2020 |
Michael WibralProfessor for Data Driven Analysis of Biological Networks, Georg-August University, GöttingenVerified email at michael-wibral.de
