Pedro A. M. Mediano

73 papers A* 6B 2Misc 1Journal 61Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Brain-like Synergistic Core in LLMs Drives Behaviour and Learning. CoRR Pedro Urbina-Rodriguez, Zafeirios Fountas, Fernando E. Rosas, Jun Wang, Andrea I. Luppi, Haitham Bou-Ammar, Murray Shanahan, Pedro A. M. Mediano
2026	J	`jnl`	A Logarithmic Decomposition and a Signed Measure Space for Entropy. IEEE Trans. Inf. Theory Keenan J. A. Down, Pedro A. M. Mediano
2026	J	`jnl`	Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs. CoRR Tom Yates, Yuzhou Cheng, Ignacio Alzugaray, Danyal Akarca, Pedro A. M. Mediano, Andrew J. Davison
2026	J	`jnl`	Evolving reservoir computers reveal bidirectional coupling between predictive power and emergent dynamics. Patterns Hanna M. Tolle, Andrea I. Luppi, Anil K. Seth, Pedro A. M. Mediano
2026	J	`jnl`	From Data Statistics to Feature Geometry: How Correlations Shape Superposition. CoRR Lucas Prieto, Edward Stevinson, Melih Barsbey, Tolga Birdal, Pedro A. M. Mediano
2026	J	`jnl`	On the Identifiability of Regime-Switching Models with Multi-Lag Dependencies. CoRR Carles Balsells Rodas, Toshiko Matsui, Pedro A. M. Mediano, Yixin Wang, Yingzhen Li
2026	J	`jnl`	Rate-Distortion Signatures of Generalization and Information Trade-offs. CoRR Leyla Roksan Caglar, Pedro A. M. Mediano, Baihan Lin
2026	J	`jnl`	The mathematical landscape of partial information decomposition: A comprehensive review of properties and measures. CoRR Alberto Liardi, Keenan J. A. Down, George Blackburne, Matteo Neri, Pedro A. M. Mediano
2025	J	`jnl`	A scalable estimator of high-order information in complex dynamical systems. CoRR Alberto Liardi, George Blackburne, Hardik Rajpal, Fernando E. Rosas, Pedro A. M. Mediano
2025	J	`jnl`	Algebraic Representations of Entropy and Fixed-Sign Information Quantities. Entropy Keenan J. A. Down, Pedro A. M. Mediano
2025	A*	`conf`	From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks. ICLR Clémentine Carla Juliette Dominé, Nicolas Anguita, Alexandra Maria Proca, Lukas Braun, Daniel Kunin, Pedro A. M. Mediano, Andrew M. Saxe
2025	A*	`conf`	Grokking at the Edge of Numerical Stability. ICLR Lucas Prieto, Melih Barsbey, Pedro A. M. Mediano, Tolga Birdal
2025	J	`jnl`	Grokking at the Edge of Numerical Stability. CoRR Lucas Prieto, Melih Barsbey, Pedro A. M. Mediano, Tolga Birdal
2025	A*	`conf`	Learning dynamics in linear recurrent neural networks. ICML Alexandra Maria Proca, Clémentine Carla Juliette Dominé, Murray Shanahan, Pedro A. M. Mediano
2025	J	`jnl`	Null models for comparing information decomposition across complex systems. PLoS Comput. Biol. Alberto Liardi, Fernando E. Rosas, Robin L. Carhart-Harris, George Blackburne, Daniel Bor, Pedro A. M. Mediano
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	J	`jnl`	Simple physical systems as a reference for multivariate information dynamics. CoRR Alberto Liardi, Madalina I. Sas, George Blackburne, William J. Knottenbelt, Pedro A. M. Mediano, Henrik Jeldtoft Jensen
2025	J	`jnl`	THOI: An efficient and accessible library for computing higher-order interactions enhanced by batch-processing. CoRR Laouen Belloli, Pedro A. M. Mediano, Rodrigo Cofré, Diego Fernández Slezak, Rubén Herzog
2025	J	`jnl`	The topology of synergy: Linking topological and information-theoretic approaches to higher-order interactions in complex systems. PLoS Comput. Biol. Thomas F. Varley, Pedro A. M. Mediano, Alice Patania, Josh C. Bongard
2025	J	`jnl`	The topology of synergy: linking topological and information-theoretic approaches to higher-order interactions in complex systems. CoRR Thomas F. Varley, Pedro A. M. Mediano, Alice Patania, Josh C. Bongard
2025	J	`jnl`	Understanding the high-order network plasticity mechanisms of ultrasound neuromodulation. PLoS Comput. Biol. Marilyn Gatica, Cyril Atkinson-Clement, Carlos Coronel-Oliveros, Mohammad Alkhawashki, Pedro A. M. Mediano, Enzo Tagliazucchi, Fernando E. Rosas, Marcus Kaiser, Giovanni Petri
2024	J	`jnl`	A Logarithmic Decomposition and a Signed Measure Space for Entropy. CoRR Keenan J. A. Down, Pedro A. M. Mediano
2024	J	`jnl`	Algebraic Representations of Entropy and Fixed-Parity Information Quantities. CoRR Keenan J. A. Down, Pedro A. M. Mediano
2024	J	`jnl`	Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics. Comput. Biol. Medicine Fernando E. Rosas, Diego Candia-Rivera, Andrea I. Luppi, Yike Guo, Pedro A. M. Mediano
2024	—	`conf`	Characterising Directed and Undirected Metrics of High-Order Interdependence. ISIT (Workshops) Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
2024	J	`jnl`	Characterising directed and undirected metrics of high-order interdependence. CoRR Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
2024	J	`jnl`	Characterising high-order interdependence via entropic conjugation. CoRR Fernando E. Rosas, Aaron J. Gutknecht, Pedro A. M. Mediano, Michael Gastpar
2024	J	`jnl`	From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks. CoRR Clémentine C. J. Dominé, Nicolas Anguita, Alexandra Maria Proca, Lukas Braun, Daniel Kunin, Pedro A. M. Mediano, Andrew M. Saxe
2024	J	`jnl`	Identifying Nonstationary Causal Structures with High-Order Markov Switching Models. CoRR Carles Balsells Rodas, Yixin Wang, Pedro A. M. Mediano, Yingzhen Li
2024	A*	`conf`	Learning diverse causally emergent representations from time series data. NeurIPS David McSharry, Christos Kaplanis, Fernando Rosas, Pedro A. M. Mediano
2024	J	`jnl`	Null models for comparing information decomposition across complex systems. CoRR Alberto Liardi, Fernando E. Rosas, Robin L. Carhart-Harris, George Blackburne, Daniel Bor, Pedro A. M. Mediano
2024	J	`jnl`	Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks. PLoS Comput. Biol. Alexandra Maria Proca, Fernando E. Rosas, Andrea I. Luppi, Daniel Bor, Matthew Crosby, Pedro A. M. Mediano
2024	J	`jnl`	The Fast Möbius Transform: An algebraic approach to information decomposition. CoRR Abel Jansma, Pedro A. M. Mediano, Fernando E. Rosas
2023	B	`conf`	A Logarithmic Decomposition for Information. ISIT Keenan J. A. Down, Pedro A. M. Mediano
2023	J	`jnl`	A Logarithmic Decomposition for Information. CoRR Keenan J. A. Down, Pedro A. M. Mediano
2023	J	`jnl`	Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage Andrea I. Luppi, Joana Cabral, Rodrigo Cofré, Pedro A. M. Mediano, Fernando E. Rosas, Abid Y. Qureshi, Amy Kuceyeski, Enzo Tagliazucchi, Federico Raimondo, Gustavo Deco, James M. Shine, Morten L. Kringelbach, Patricio Orio, ShiNung Ching, Yonatan Sanz Perl, Michael N. Diringer, Robert D. Stevens, Jacobo Diego Sitt
2023	J	`jnl`	Dynamical noise can enhance high-order statistical structure in complex systems. CoRR Patricio Orio, Pedro A. M. Mediano, Fernando E. Rosas
2023	J	`jnl`	Information decomposition reveals hidden high-order contributions to temporal irreversibility. CoRR Andrea I. Luppi, Fernando E. Rosas, Gustavo Deco, Morten L. Kringelbach, Pedro A. M. Mediano
2023	A*	`conf`	Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. NeurIPS Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona
2023	J	`jnl`	Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. CoRR Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona
2023	J	`jnl`	Not with a "zap" but with a "beep": Measuring the origins of perinatal experience. NeuroImage Joel Frohlich, Tim Bayne, Julia Sophia Crone, Alessandra DallaVecchia, Asger Kirkeby-Hinrup, Pedro A. M. Mediano, Julia Moser, Karolina Talar, Alireza Gharabaghi, Hubert Preissl
2023	J	`jnl`	Quantifying synergy and redundancy in multiplex networks. CoRR Andrea I. Luppi, Eckehard Olbrich, Conor Finn, Laura E. Suárez, Fernando E. Rosas, Pedro A. M. Mediano, Jürgen Jost
2023	J	`jnl`	Reduced emergent character of neural dynamics in patients with a disrupted connectome. NeuroImage Andrea I. Luppi, Pedro A. M. Mediano, Fernando E. Rosas, Judith Allanson, John D. Pickard, Guy B. Williams, Michael M. Craig, Paola Finoia, Alexander R. D. Peattie, Peter Coppola, David K. Menon, Daniel Bor, Emmanuel A. Stamatakis
2022	J	`jnl`	Disentangling high-order mechanisms and high-order behaviours in complex systems. CoRR Fernando E. Rosas, Pedro A. M. Mediano, Andrea I. Luppi, Thomas F. Varley, Joseph T. Lizier, Sebastiano Stramaglia, Henrik J. Jensen, Daniele Marinazzo
2022	J	`jnl`	High-order functional redundancy in ageing explained via alterations in the connectome in a whole-brain model. PLoS Comput. Biol. Marilyn Gatica, Fernando E. Rosas, Pedro A. M. Mediano, Ibai Díez, Stephan P. Swinnen, Patricio Orio, Rodrigo Cofré, Jesús M. Cortés
2022	J	`jnl`	Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity. NeuroImage Fran Hancock, Joana Cabral, Andrea I. Luppi, Fernando E. Rosas, Pedro A. M. Mediano, Ottavia Dipasquale, Federico E. Turkheimer
2022	J	`jnl`	Psychedelics and schizophrenia: Distinct alterations to Bayesian inference. NeuroImage Hardik Rajpal, Pedro A. M. Mediano, Fernando E. Rosas, Christopher B. Timmermann, Stefan Brugger, Suresh D. Muthukumaraswamy, Anil K. Seth, Daniel Bor, Robin L. Carhart-Harris, Henrik J. Jensen
2022	J	`jnl`	Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks. CoRR Alexandra Maria Proca, Fernando E. Rosas, Andrea I. Luppi, Daniel Bor, Matthew Crosby, Pedro A. M. Mediano
2021	J	`jnl`	High-Order Interdependencies in the Aging Brain. Brain Connect. Marilyn Gatica, Rodrigo Cofré, Pedro A. M. Mediano, Fernando E. Rosas, Patricio Orio, Ibai Díez, Stephan P. Swinnen, Jesús M. Cortés
2020	J	`jnl`	An operational information decomposition via synergistic disclosure. CoRR Fernando Rosas, Pedro A. M. Mediano, Borzoo Rassouli, Adam B. Barrett
2020	J	`jnl`	Building Proactive Voice Assistants: When and How (not) to Interact. CoRR Ondrej Miksik, I. Munasinghe, J. Asensio-Cubero, S. Reddy Bethi, S.-T. Huang, S. Zylfo, Xuechen Liu, T. Nica, A. Mitrocsak, S. Mezza, Rory Beard, Ruibo Shi, Raymond W. M. Ng, Pedro A. M. Mediano, Zafeirios Fountas, S.-H. Lee, J. Medvesek, Hongbin Zhuang, Yvonne Rogers, Pawel Swietojanski
2020	—	`conf`	Causal Blankets: Theory and Algorithmic Framework. IWAI Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani
2020	J	`jnl`	Causal blankets: Theory and algorithmic framework. CoRR Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani
2020	A*	`conf`	Deep active inference agents using Monte-Carlo methods. NeurIPS Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston
2020	J	`jnl`	Deep active inference agents using Monte-Carlo methods. CoRR Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston
2020	B	`conf`	Learning, compression, and leakage: Minimising classification error via meta-universal compression principles. ITW Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
2020	J	`jnl`	Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles. CoRR Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
2020	J	`jnl`	Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data. PLoS Comput. Biol. Fernando E. Rosas, Pedro A. M. Mediano, Henrik J. Jensen, Anil K. Seth, Adam B. Barrett, Robin L. Carhart-Harris, Daniel Bor
2019	J	`jnl`	IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. J. Open Source Softw. Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral
2019	J	`jnl`	Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing. CoRR Leonardo Novelli, Patricia Wollstadt, Pedro A. M. Mediano, Michael Wibral, Joseph T. Lizier
2019	J	`jnl`	Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation. Entropy Pedro A. M. Mediano, Anil K. Seth, Adam B. Barrett
2019	J	`jnl`	Quantifying High-order Interdependencies via Multivariate Extensions of the Mutual Information. CoRR Fernando Rosas, Pedro A. M. Mediano, Michael Gastpar, Henrik J. Jensen
2019	—	`conf`	Relational Forward Models for Multi-Agent Learning. ICLR (Poster) Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinícius Flores Zambaldi, János Kramár, Neil C. Rabinowitz, Thore Graepel, Matthew M. Botvinick, Peter W. Battaglia
2018	J	`jnl`	Adaptation Is Not Just Improvement over Time. Artif. Life Simon McGregor, Pedro A. M. Mediano
2018	J	`jnl`	An Information-Theoretic Approach to Self-Organisation: Emergence of Complex Interdependencies in Coupled Dynamical Systems. Entropy Fernando Rosas, Pedro A. M. Mediano, Martín Ugarte, Henrik J. Jensen
2018	J	`jnl`	IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. CoRR Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral
2018	J	`jnl`	Measuring Fitness Effects of Agent-Environment Interactions. Artif. Life Simon McGregor, Pedro A. M. Mediano
2018	J	`jnl`	Relational Forward Models for Multi-Agent Learning. CoRR Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinícius Flores Zambaldi, Neil C. Rabinowitz, Thore Graepel, Matthew M. Botvinick, Peter W. Battaglia
2017	J	`jnl`	An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons. Cogn. Comput. Kyriacos Nikiforou, Pedro A. M. Mediano, Murray Shanahan
2017	Misc	`conf`	Spectral Modes of Network Dynamics Reveal Increased Informational Complexity Near Criticality. ICCS Xerxes D. Arsiwalla, Pedro A. M. Mediano, Paul F. M. J. Verschure
2017	J	`jnl`	Spectral Modes of Network Dynamics Reveal Increased Informational Complexity Near Criticality. CoRR Xerxes D. Arsiwalla, Pedro A. M. Mediano, Paul F. M. J. Verschure
2017	J	`jnl`	The Partial Information Decomposition of Generative Neural Network Models. Entropy Tycho M. S. Tax, Pedro A. M. Mediano, Murray Shanahan
2016	J	`jnl`	Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. CoRR Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan