Abdullah Makkeh

22 papers A* 2Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Novel Inconsistency Results for Partial Information Decomposition. CoRR Philip Hendrik Matthias, Abdullah Makkeh, Michael Wibral, Aaron J. Gutknecht
2025	J	`jnl`	Redundancy Maximization as a Principle of Associative Memory Learning. CoRR Mark Blümel, Andreas C. Schneider, Valentin Neuhaus, David A. Ehrlich, Marcel Graetz, Michael Wibral, Abdullah Makkeh, Viola Priesemann
2025	J	`jnl`	Shannon invariants: A scalable approach to information decomposition. CoRR Aaron J. Gutknecht, Fernando E. Rosas, David A. Ehrlich, Abdullah Makkeh, Pedro A. M. Mediano, Michael Wibral
2025	A*	`conf`	What should a neuron aim for? Designing local objective functions based on information theory. ICLR Andreas Christian Schneider, Valentin Neuhaus, David Alexander Ehrlich, Abdullah Makkeh, Alexander S. Ecker, Viola Priesemann, Michael Wibral
2024	J	`jnl`	What should a neuron aim for? Designing local objective functions based on information theory. CoRR Andreas C. Schneider, Valentin Neuhaus, David A. Ehrlich, Abdullah Makkeh, Alexander S. Ecker, Viola Priesemann, Michael Wibral
2023	J	`jnl`	A Measure of the Complexity of Neural Representations based on Partial Information Decomposition. Trans. Mach. Learn. Res. David A. Ehrlich, Andreas C. Schneider, Viola Priesemann, Michael Wibral, Abdullah Makkeh
2023	J	`jnl`	From Babel to Boole: The Logical Organization of Information Decompositions. CoRR Aaron J. Gutknecht, Abdullah Makkeh, Michael Wibral
2023	J	`jnl`	Infomorphic networks: Locally learning neural networks derived from partial information decomposition. CoRR Marcel Graetz, Abdullah Makkeh, Andreas C. Schneider, David A. Ehrlich, Viola Priesemann, Michael Wibral
2023	J	`jnl`	Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation. CoRR David A. Ehrlich, Kyle Schick-Poland, Abdullah Makkeh, Felix Lanfermann, Patricia Wollstadt, Michael Wibral
2022	J	`jnl`	Partial Information Decomposition Reveals the Structure of Neural Representations. CoRR David A. Ehrlich, Andreas C. Schneider, Michael Wibral, Viola Priesemann, Abdullah Makkeh
2022	J	`jnl`	Quantifying Reinforcement-Learning Agent's Autonomy, Reliance on Memory and Internalisation of the Environment. Entropy Anti Ingel, Abdullah Makkeh, Oriol Corcoll, Raul Vicente
2021	J	`jnl`	A partial information decomposition for discrete and continuous variables. CoRR Kyle Schick-Poland, Abdullah Makkeh, Aaron J. Gutknecht, Patricia Wollstadt, Anja Sturm, Michael Wibral
2021	A*	`conf`	Estimating the Unique Information of Continuous Variables. NeurIPS Ari Pakman, Amin Nejatbakhsh, Dar Gilboa, Abdullah Makkeh, Luca Mazzucato, Michael Wibral, Elad Schneidman
2020	J	`jnl`	A differentiable measure of pointwise shared information. CoRR Abdullah Makkeh, Aaron J. Gutknecht, Michael Wibral
2020	J	`jnl`	Bits and Pieces: Understanding Information Decomposition from Part-whole Relationships and Formal Logic. CoRR Aaron J. Gutknecht, Michael Wibral, Abdullah Makkeh
2020	J	`jnl`	Partial Information Decomposition of Boolean Functions: a Fourier Analysis perspective. CoRR Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
2019	J	`jnl`	MAXENT3D_PID: An Estimator for the Maximum-Entropy Trivariate Partial Information Decomposition. Entropy Abdullah Makkeh, Daniel Chicharro, Dirk Oliver Theis, Raul Vicente
2018	J	`jnl`	BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition. Entropy Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
2017	J	`jnl`	Bivariate Partial Information Decomposition: The Optimization Perspective. Entropy Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
2017	—	`conf`	The Graph of the Pedigree Polytope is Asymptotically Almost Complete (Extended Abstract). CALDAM Abdullah Makkeh, Mozhgan Pourmoradnasseri, Dirk Oliver Theis
2016	J	`jnl`	On the Graph of the Pedigree Polytope. CoRR Abdullah Makkeh, Mozhgan Pourmoradnasseri, Dirk Oliver Theis
2016	J	`jnl`	The Graph of the Pedigree Polytope is Asymptotically Almost Complete (Extended Abstract). CoRR Abdullah Makkeh, Mozhgan Pourmoradnasseri, Dirk Oliver Theis