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ORCIDPedro A. M. Mediano
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2020 – today
- 2024
[j16]Fernando E. Rosas
, Diego Candia-Rivera, Andrea I. Luppi, Yike Guo, Pedro A. M. Mediano:
Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics. Comput. Biol. Medicine 170: 107857 (2024)- [c8]Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar:
Characterising Directed and Undirected Metrics of High-Order Interdependence. ISIT (Workshops) 2024: 1-6 - [i24]Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar:
Characterising directed and undirected metrics of high-order interdependence. CoRR abs/2404.07140 (2024) - [i23]Carles Balsells Rodas, Yixin Wang, Pedro A. M. Mediano, Yingzhen Li:
Identifying Nonstationary Causal Structures with High-Order Markov Switching Models. CoRR abs/2406.17698 (2024) - [i22]Keenan J. A. Down, Pedro A. M. Mediano:
A Logarithmic Decomposition and a Signed Measure Space for Entropy. CoRR abs/2409.03732 (2024) - [i21]Keenan J. A. Down, Pedro A. M. Mediano:
Algebraic Representations of Entropy and Fixed-Parity Information Quantities. CoRR abs/2409.04845 (2024) - [i20]Clémentine C. J. Dominé, Nicolas Anguita, Alexandra M. Proca, Lukas Braun, Daniel Kunin, Pedro A. M. Mediano, Andrew M. Saxe:
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks. CoRR abs/2409.14623 (2024) - [i19]Abel Jansma, Pedro A. M. Mediano, Fernando E. Rosas:
The Fast Möbius Transform: An algebraic approach to information decomposition. CoRR abs/2410.06224 (2024) - 2023
- [j15]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:
Reduced emergent character of neural dynamics in patients with a disrupted connectome. NeuroImage 269: 119926 (2023) - [j14]Joel Frohlich, Tim Bayne, Julia Sophia Crone, Alessandra DallaVecchia, Asger Kirkeby-Hinrup, Pedro A. M. Mediano, Julia Moser, Karolina Talar, Alireza Gharabaghi, Hubert Preissl:
Not with a "zap" but with a "beep": Measuring the origins of perinatal experience. NeuroImage 273: 120057 (2023) - [j13]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:
Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage 275: 120162 (2023) - [c7]Keenan J. A. Down, Pedro A. M. Mediano:
A Logarithmic Decomposition for Information. ISIT 2023: 150-155 - [c6]Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona:
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. NeurIPS 2023 - [i18]Keenan J. A. Down, Pedro A. M. Mediano:
A Logarithmic Decomposition for Information. CoRR abs/2305.07554 (2023) - [i17]Patricio Orio, Pedro A. M. Mediano, Fernando E. Rosas:
Dynamical noise can enhance high-order statistical structure in complex systems. CoRR abs/2305.13454 (2023) - [i16]Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona:
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. CoRR abs/2306.00904 (2023) - [i15]Andrea I. Luppi, Eckehard Olbrich, Conor Finn, Laura E. Suárez, Fernando E. Rosas, Pedro A. M. Mediano, Jürgen Jost:
Quantifying synergy and redundancy in multiplex networks. CoRR abs/2306.01645 (2023) - [i14]Andrea I. Luppi, Fernando E. Rosas, Gustavo Deco, Morten L. Kringelbach, Pedro A. M. Mediano:
Information decomposition reveals hidden high-order contributions to temporal irreversibility. CoRR abs/2308.05664 (2023) - 2022
- [j12]Fran Hancock, Joana Cabral, Andrea I. Luppi, Fernando E. Rosas, Pedro A. M. Mediano, Ottavia Dipasquale, Federico E. Turkheimer:
Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity. NeuroImage 259: 119433 (2022) - [j11]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:
Psychedelics and schizophrenia: Distinct alterations to Bayesian inference. NeuroImage 263: 119624 (2022) - [j10]Marilyn Gatica, Fernando E. Rosas, Pedro A. M. Mediano, Ibai Díez, Stephan P. Swinnen, Patricio Orio, Rodrigo Cofré, Jesús M. Cortés:
High-order functional redundancy in ageing explained via alterations in the connectome in a whole-brain model. PLoS Comput. Biol. 18(9): 1010431 (2022) - [i13]Fernando E. Rosas, Pedro A. M. Mediano, Andrea I. Luppi, Thomas F. Varley, Joseph T. Lizier, Sebastiano Stramaglia, Henrik J. Jensen, Daniele Marinazzo:
Disentangling high-order mechanisms and high-order behaviours in complex systems. CoRR abs/2203.12041 (2022) - [i12]Alexandra M. Proca, Fernando E. Rosas, Andrea I. Luppi, Daniel Bor, Matthew Crosby, Pedro A. M. Mediano:
Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks. CoRR abs/2210.02996 (2022) - 2021
- [j9]Marilyn Gatica, Rodrigo Cofré, Pedro A. M. Mediano, Fernando E. Rosas, Patricio Orio, Ibai Díez, Stephan P. Swinnen, Jesús M. Cortés:
High-Order Interdependencies in the Aging Brain. Brain Connect. 11(9): 734-744 (2021) - 2020
- [j8]Fernando E. Rosas, Pedro A. M. Mediano, Henrik J. Jensen, Anil K. Seth, Adam B. Barrett, Robin L. Carhart-Harris, Daniel Bor:
Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data. PLoS Comput. Biol. 16(12) (2020) - [c5]Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar:
Learning, compression, and leakage: Minimising classification error via meta-universal compression principles. ITW 2020: 1-5 - [c4]Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani:
Causal Blankets: Theory and Algorithmic Framework. IWAI 2020: 187-198 - [c3]Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston:
Deep active inference agents using Monte-Carlo methods. NeurIPS 2020 - [i11]Fernando Rosas, Pedro A. M. Mediano, Borzoo Rassouli, Adam B. Barrett:
An operational information decomposition via synergistic disclosure. CoRR abs/2001.10387 (2020) - [i10]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:
Building Proactive Voice Assistants: When and How (not) to Interact. CoRR abs/2005.01322 (2020) - [i9]Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston:
Deep active inference agents using Monte-Carlo methods. CoRR abs/2006.04176 (2020) - [i8]Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani:
Causal blankets: Theory and algorithmic framework. CoRR abs/2008.12568 (2020) - [i7]Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar:
Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles. CoRR abs/2010.07382 (2020)
2010 – 2019
- 2019
- [j7]Pedro A. M. Mediano, Anil K. Seth, Adam B. Barrett:
Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation. Entropy 21(1): 17 (2019) - [j6]Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral:
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. J. Open Source Softw. 4(34): 1081 (2019) - [c2]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:
Relational Forward Models for Multi-Agent Learning. ICLR (Poster) 2019 - [i6]Leonardo Novelli, Patricia Wollstadt, Pedro A. M. Mediano, Michael Wibral, Joseph T. Lizier:
Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing. CoRR abs/1902.06828 (2019) - [i5]Fernando Rosas, Pedro A. M. Mediano, Michael Gastpar, Henrik J. Jensen:
Quantifying High-order Interdependencies via Multivariate Extensions of the Mutual Information. CoRR abs/1902.11239 (2019) - 2018
- [j5]Simon McGregor, Pedro A. M. Mediano:
Adaptation Is Not Just Improvement over Time. Artif. Life 24(3) (2018) - [j4]Simon McGregor, Pedro A. M. Mediano:
Measuring Fitness Effects of Agent-Environment Interactions. Artif. Life 24(3) (2018) - [j3]Fernando Rosas, Pedro A. M. Mediano, Martín Ugarte, Henrik J. Jensen:
An Information-Theoretic Approach to Self-Organisation: Emergence of Complex Interdependencies in Coupled Dynamical Systems. Entropy 20(10): 793 (2018) - [i4]Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral:
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. CoRR abs/1807.10459 (2018) - [i3]Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinícius Flores Zambaldi, Neil C. Rabinowitz, Thore Graepel, Matthew M. Botvinick, Peter W. Battaglia:
Relational Forward Models for Multi-Agent Learning. CoRR abs/1809.11044 (2018) - 2017
- [j2]Kyriacos Nikiforou, Pedro A. M. Mediano, Murray Shanahan:
An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons. Cogn. Comput. 9(3): 351-363 (2017) - [j1]Tycho M. S. Tax, Pedro A. M. Mediano, Murray Shanahan:
The Partial Information Decomposition of Generative Neural Network Models. Entropy 19(9): 474 (2017) - [c1]Xerxes D. Arsiwalla, Pedro A. M. Mediano, Paul F. M. J. Verschure:
Spectral Modes of Network Dynamics Reveal Increased Informational Complexity Near Criticality. ICCS 2017: 119-128 - [i2]Xerxes D. Arsiwalla, Pedro A. M. Mediano, Paul F. M. J. Verschure:
Spectral Modes of Network Dynamics Reveal Increased Informational Complexity Near Criticality. CoRR abs/1707.01446 (2017) - 2016
- [i1]Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan:
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. CoRR abs/1611.02648 (2016)
Coauthor Index
aka: Fernando E. Rosas
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