Nihat Ay - RankMe

105 papers C 1Journal 93Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamics-Aligned Shared Hypernetworks for Zero-Shot Actuator Inversion. CoRR Jan Benad, Pradeep Kr. Banerjee, Frank Röder, Nihat Ay, Martin V. Butz, Manfred Eppe
2026	J	`jnl`	Learning a Latent Pulse Shape Interface for Photoinjector Laser Systems. CoRR Alexander Klemps, Denis Ilia, Pradeep Kr. Banerjee, Ye Chen, Henrik Tünnermann, Nihat Ay
2026	J	`jnl`	Well-Posed KL-Regularized Control via Wasserstein and Kalman-Wasserstein KL Divergences. CoRR Viktor Stein, Adwait Datar, Nihat Ay
2025	—	`conf`	Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective. ICDL Carlotta Langer, Yasmin Kim Georgie, Ilja Porohovoj, Verena Vanessa Hafner, Nihat Ay
2025	J	`jnl`	Convergence Properties of Natural Gradient Descent for Minimizing KL Divergence. CoRR Adwait Datar, Nihat Ay
2025	J	`jnl`	Convergence Properties of Natural Gradient Descent for Minimizing KL Divergence. Trans. Mach. Learn. Res. Adwait Datar, Nihat Ay
2025	J	`jnl`	On the Natural Gradient of the Evidence Lower Bound. J. Mach. Learn. Res. Nihat Ay, Jesse van Oostrum, Adwait Datar
2025	—	`conf`	Torsion of α-Connections on the Density Manifold. GSI (3) Nihat Ay, Lorenz Schwachhöfer
2025	J	`jnl`	Torsion of α-connections on the density manifold. CoRR Nihat Ay, Lorenz Schwachhöfer
2025	—	`conf`	Wasserstein KL-Divergence for Gaussian Distributions. GSI (2) Adwait Datar, Nihat Ay
2024	J	`jnl`	A Concise Mathematical Description of Active Inference in Discrete Time. CoRR Jesse van Oostrum, Carlotta Langer, Nihat Ay
2024	J	`jnl`	Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective. CoRR Carlotta Langer, Yasmin Kim Georgie, Ilja Porohovoj, Verena Vanessa Hafner, Nihat Ay
2024	J	`jnl`	Inversion of Bayesian networks. Int. J. Approx. Reason. Jesse van Oostrum, Peter van Hintum, Nihat Ay
2024	J	`jnl`	Outsourcing Control Requires Control Complexity. Artif. Life Carlotta Langer, Nihat Ay
2023	J	`jnl`	On the Fisher-Rao Gradient of the Evidence Lower Bound. CoRR Nihat Ay, Jesse van Oostrum
2022	J	`jnl`	Invariance Properties of the Natural Gradient in Overparametrised Systems. CoRR Jesse van Oostrum, Johannes Müller, Nihat Ay
2022	J	`jnl`	Inversion of Bayesian Networks. CoRR Jesse van Oostrum, Peter van Hintum, Nihat Ay
2022	J	`jnl`	Learning to Predict Requires Integrated Information. CoRR Carlotta Langer, Nihat Ay
2022	J	`jnl`	Natural Reweighted Wake-Sleep. Neural Networks Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay
2021	J	`jnl`	How Morphological Computation shapes Integrated Information in Embodied Agents. CoRR Carlotta Langer, Nihat Ay
2021	—	`conf`	Parametrisation Independence of the Natural Gradient in Overparametrised Systems. GSI Jesse van Oostrum, Nihat Ay
2020	J	`jnl`	Complexity as Causal Information Integration. CoRR Carlotta Langer, Nihat Ay
2020	J	`jnl`	Complexity as Causal Information Integration. Entropy Carlotta Langer, Nihat Ay
2020	J	`jnl`	Confounding Ghost Channels and Causality: A New Approach to Causal Information Flows. CoRR Nihat Ay
2020	J	`jnl`	Information decomposition based on cooperative game theory. Kybernetika Nihat Ay, Daniel Polani, Nathaniel Virgo
2020	J	`jnl`	Ingredients for robustness. Theory Biosci. Nihat Ay
2020	J	`jnl`	Natural Wake-Sleep Algorithm. CoRR Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay
2020	J	`jnl`	On the Locality of the Natural Gradient for Deep Learning. CoRR Nihat Ay
2020	J	`jnl`	Special issue in memory of František Matúš. Kybernetika Nihat Ay, Milan Studený
2020	J	`jnl`	The information theory of individuality. Theory Biosci. David C. Krakauer, Nils Bertschinger, Eckehard Olbrich, Jessica C. Flack, Nihat Ay
2019	—	`conf`	A Numerical Efficiency Analysis of a Common Ancestor Condition. MACIS Luca Carlini, Nihat Ay, Christiane Görgen
2019	J	`jnl`	Canonical Divergence for Flat α-Connections: Classical and Quantum. Entropy Domenico Felice, Nihat Ay
2019	J	`jnl`	Canonical Divergence for Measuring Classical and Quantum Complexity. Entropy Domenico Felice, Stefano Mancini, Nihat Ay
2019	—	`conf`	Divergence Functions in Information Geometry. GSI Domenico Felice, Nihat Ay
2019	J	`jnl`	Information Decomposition based on Cooperative Game Theory. CoRR Nihat Ay, Daniel Polani, Nathaniel Virgo
2017	J	`jnl`	Comparing Information-Theoretic Measures of Complexity in Boltzmann Machines. CoRR Maxinder S. Kanwal, Joshua A. Grochow, Nihat Ay
2017	J	`jnl`	Comparing Information-Theoretic Measures of Complexity in Boltzmann Machines. Entropy Maxinder S. Kanwal, Joshua A. Grochow, Nihat Ay
2017	J	`jnl`	Morphological Computation: Synergy of Body and Brain. Entropy Keyan Ghazi-Zahedi, Carlotta Langer, Nihat Ay
2016	J	`jnl`	Evaluating Morphological Computation in Muscle and DC-Motor Driven Models of Hopping Movements. Frontiers Robotics AI Keyan Ghazi-Zahedi, Daniel F. B. Haeufle, Guido Montúfar, Syn Schmitt, Nihat Ay
2016	J	`jnl`	Information Theoretically Aided Reinforcement Learning for Embodied Agents. CoRR Guido Montúfar, Keyan Ghazi-Zahedi, Nihat Ay
2016	J	`jnl`	Iterative Scaling Algorithm for Channels. CoRR Paolo Perrone, Nihat Ay
2016	J	`jnl`	The Umwelt of an Embodied Agent - A Measure-Theoretic Definition. CoRR Nihat Ay, Wolfgang Löhr
2015	J	`jnl`	A Novel Approach to Canonical Divergences within Information Geometry. Entropy Nihat Ay, Shun-ichi Amari
2015	J	`jnl`	A Theory of Cheap Control in Embodied Systems. PLoS Comput. Biol. Guido Montúfar, Keyan Ghazi-Zahedi, Nihat Ay
2015	J	`jnl`	Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Human Hopping. CoRR Keyan Ghazi-Zahedi, Daniel F. B. Haeufle, Guido Montúfar, Syn Schmitt, Nihat Ay
2015	J	`jnl`	Geometric Design Principles for Brains of Embodied Agents. Künstliche Intell. Nihat Ay
2015	J	`jnl`	Geometry and Determinism of Optimal Stationary Control in Partially Observable Markov Decision Processes. CoRR Guido Montúfar, Keyan Ghazi-Zahedi, Nihat Ay
2015	J	`jnl`	Geometry and expressive power of conditional restricted Boltzmann machines. J. Mach. Learn. Res. Guido Montúfar, Nihat Ay, Keyan Ghazi-Zahedi
2015	J	`jnl`	Hierarchical Quantification of Synergy in Channels. CoRR Paolo Perrone, Nihat Ay
2015	J	`jnl`	Hierarchical Quantification of Synergy in Channels. Frontiers Robotics AI Paolo Perrone, Nihat Ay
2015	J	`jnl`	Information Geometry on Complexity and Stochastic Interaction. Entropy Nihat Ay
2015	J	`jnl`	Information-Theoretic Inference of Common Ancestors. Entropy Bastian Steudel, Nihat Ay
2015	—	`conf`	Invariant Geometric Structures on Statistical Models. GSI Lorenz Schwachhöfer, Nihat Ay, Jürgen Jost, Hông Vân Lê
2015	J	`jnl`	Maximizing the Divergence from a Hierarchical Model of Quantum States. Open Syst. Inf. Dyn. Stephan Weis, Andreas Knauf, Nihat Ay, Ming-Jing Zhao
2015	—	`conf`	Standard Divergence in Manifold of Dual Affine Connections. GSI Shun-ichi Amari, Nihat Ay
2015	J	`jnl`	The Theory Biosci. Nihat Ay, Wolfgang Löhr
2014	J	`jnl`	A Framework for Cheap Universal Approximation in Embodied Systems. CoRR Guido Montúfar, Nihat Ay, Keyan Ghazi-Zahedi
2014	J	`jnl`	Comparison between Different Methods of Level Identification. Adv. Complex Syst. Oliver Pfante, Nils Bertschinger, Eckehard Olbrich, Nihat Ay, Jürgen Jost
2014	J	`jnl`	Discriminating between causal structures in Bayesian Networks given partial observations. Kybernetika Philipp Moritz, Jörg Reichardt, Nihat Ay
2014	J	`jnl`	Expressive Power of Conditional Restricted Boltzmann Machines for Sensorimotor Control. CoRR Guido Montúfar, Nihat Ay, Keyan Zahedi
2014	J	`jnl`	On the Fisher Metric of Conditional Probability Polytopes. Entropy Guido Montúfar, Johannes Rauh, Nihat Ay
2014	J	`jnl`	Quantifying Unique Information. Entropy Nils Bertschinger, Johannes Rauh, Eckehard Olbrich, Jürgen Jost, Nihat Ay
2014	J	`jnl`	Robustness, canalyzing functions and systems design. Theory Biosci. Johannes Rauh, Nihat Ay
2013	J	`jnl`	"More Is Different" in Functional Magnetic Resonance Imaging: A Review of Recent Data Analysis Techniques. Brain Connect. Gabriele Lohmann, Johannes Stelzer, Jane Neumann, Nihat Ay, Robert Turner
2013	J	`jnl`	Information driven self-organization of complex robotic behaviors CoRR Georg Martius, Ralf Der, Nihat Ay
2013	J	`jnl`	Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis. CoRR Keyan Zahedi, Georg Martius, Nihat Ay
2013	—	`conf`	Maximal Information Divergence from Statistical Models Defined by Neural Networks. GSI Guido Montúfar, Johannes Rauh, Nihat Ay
2013	J	`jnl`	Quantifying Morphological Computation CoRR Keyan Zahedi, Nihat Ay
2013	J	`jnl`	Quantifying Morphological Computation. Entropy Keyan Zahedi, Nihat Ay
2013	J	`jnl`	Quantifying unique information. CoRR Nils Bertschinger, Johannes Rauh, Eckehard Olbrich, Jürgen Jost, Nihat Ay
2012	J	`jnl`	Guided self-organization: perception-action loops of embodied systems. Theory Biosci. Nihat Ay, Ralf Der, Mikhail Prokopenko
2012	J	`jnl`	Information-driven self-organization: the dynamical system approach to autonomous robot behavior. Theory Biosci. Nihat Ay, Holger Bernigau, Ralf Der, Mikhail Prokopenko
2012	J	`jnl`	On solution sets of information inequalities. Kybernetika Nihat Ay, Walter Wenzel
2012	J	`jnl`	Process Dimension of Classical and Non-Commutative Processes. Open Syst. Inf. Dyn. Wolfgang Löhr, Arleta Szkola, Nihat Ay
2012	J	`jnl`	Robustness, Canalyzing Functions and Systems Design CoRR Johannes Rauh, Nihat Ay
2011	J	`jnl`	Effective Complexity of Stationary Process Realizations. Entropy Nihat Ay, Markus Müller, Arleta Szkola
2011	—	`conf`	Expressive Power and Approximation Errors of Restricted Boltzmann Machines. NIPS Guido Montúfar, Johannes Rauh, Nihat Ay
2011	J	`jnl`	Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines. Neural Comput. Guido Montúfar, Nihat Ay
2011	J	`jnl`	Support sets in exponential families and oriented matroid theory. Int. J. Approx. Reason. Johannes Rauh, Thomas Kahle, Nihat Ay
2010	J	`jnl`	Effective complexity and its relation to logical depth. IEEE Trans. Inf. Theory Nihat Ay, Markus Müller, Arleta Szkola
2010	J	`jnl`	Effective complexity of stationary process realizations CoRR Nihat Ay, Markus Müller, Arleta Szkola
2010	J	`jnl`	Higher Coordination With Less Control - A Result of Information Maximization in the Sensorimotor Loop. Adapt. Behav. Keyan Zahedi, Nihat Ay, Ralf Der
2010	J	`jnl`	Information-theoretic inference of common ancestors CoRR Bastian Steudel, Nihat Ay
2009	J	`jnl`	A refinement of the common cause principle. Discret. Appl. Math. Nihat Ay
2009	J	`jnl`	Hierarchical Models, Marginal Polytopes, and Linear Codes. Kybernetika Thomas Kahle, Walter Wenzel, Nihat Ay
2009	J	`jnl`	Higher coordination with less control - A result of information maximisation in the sensori-motor loop CoRR Keyan Zahedi, Nihat Ay, Ralf Der
2009	—	`conf`	Non-sufficient Memories That Are Sufficient for Prediction. Complex (1) Wolfgang Löhr, Nihat Ay
2009	J	`jnl`	On the Generative Nature of Prediction. Adv. Complex Syst. Wolfgang Löhr, Nihat Ay
2008	J	`jnl`	Autonomy: An information theoretic perspective. Biosyst. Nils Bertschinger, Eckehard Olbrich, Nihat Ay, Jürgen Jost
2008	J	`jnl`	Effective Complexity and its Relation to Logical Depth CoRR Nihat Ay, Markus Müller, Arleta Szkola
2008	J	`jnl`	Information Flows in Causal Networks. Adv. Complex Syst. Nihat Ay, Daniel Polani
2008	C	`conf`	Predictive information and emergent cooperativity in a chain of mobile robots. ALIFE Ralf Der, Frank Güttler, Nihat Ay
2007	J	`jnl`	Geometric robustness theory and biological networks. Theory Biosci. Nihat Ay, David C. Krakauer
2007	J	`jnl`	High-resolution multiple-unit EEG in cat auditory cortex reveals large spatio-temporal stochastic interactions. Biosyst. Thomas Wennekers, Nihat Ay, Péter András
2006	J	`jnl`	A temporal learning rule in recurrent systems supports high spatio-temporal stochastic interactions. Neurocomputing Thomas Wennekers, Nihat Ay
2006	J	`jnl`	Maximizing multi-information. Kybernetika Nihat Ay, Andreas Knauf
2005	J	`jnl`	Finite State Automata Resulting from Temporal Information Maximization and a Temporal Learning Rule. Neural Comput. Thomas Wennekers, Nihat Ay
2005	J	`jnl`	Stochastic interaction in associative nets. Neurocomputing Thomas Wennekers, Nihat Ay
2003	J	`jnl`	Dynamical properties of strongly interacting Markov chains. Neural Networks Nihat Ay, Thomas Wennekers
2003	J	`jnl`	Spatial and temporal stochastic interaction in neuronal assemblies. Theory Biosci. Thomas Wennekers, Nihat Ay
2003	J	`jnl`	Temporal Infomax on Markov chains with input leads to finite state automata. Neurocomputing Thomas Wennekers, Nihat Ay
2003	J	`jnl`	Temporal infomax leads to almost deterministic dynamical systems. Neurocomputing Nihat Ay, Thomas Wennekers
2002	J	`jnl`	Dually Flat Manifolds and Global Information Geometry. Open Syst. Inf. Dyn. Nihat Ay, Wilderich Tuschmann
2002	J	`jnl`	Locality of Global Stochastic Interaction in Directed Acyclic Networks. Neural Comput. Nihat Ay
2000	J	`jnl`	Hyperplane Arrangements Separating Arbitrary Vertex Classes in Adv. Appl. Math. Walter Wenzel, Nihat Ay, Frank Pasemann