Raul Vicente

According to our database, Raul Vicente authored at least 42 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments.

Marharyta Domnich, Julius Valja, Rasmus Moorits Veski, Giacomo Magnifico, Kadi Tulver, Eduard Barbu, Raul Vicente

CoRR, 2024

Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis.

Eduard Barbu, Marharyta Domnich, Raul Vicente, Nikos Sakkas, André Morim

CoRR, 2024

COIN: Counterfactual Inpainting for Weakly Supervised Semantic Segmentation for Medical Images.

Dmytro Shvetsov, Joonas Ariva, Marharyta Domnich, Raul Vicente, Dmytro Fishman

Proceedings of the Explainable Artificial Intelligence, 2024

Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence.

Marharyta Domnich, Raul Vicente

Proceedings of the Explainable Artificial Intelligence, 2024

Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis.

Eduard Barbu, Marharyta Domnich, Raul Vicente, Nikos Sakkas

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

2023

Mind the gap: challenges of deep learning approaches to Theory of Mind.

Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente

Artif. Intell. Rev., September, 2023

Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning.

Aqeel Labash, Florian Fletzer, Daniel Majoral, Raul Vicente

CoRR, 2023

Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning.

Aqeel Labash, Florian Stelzer, Daniel Majoral, Raul Vicente Zafra

Proceedings of the International Conference on Machine Learning, 2023

2022

Did I do that? Blame as a means to identify controlled effects in reinforcement learning.

Oriol Corcoll, Youssef Sherif Mansour Mohamed, Raul Vicente

Trans. Mach. Learn. Res., 2022

Quantifying Reinforcement-Learning Agent's Autonomy, Reliance on Memory and Internalisation of the Environment.

Anti Ingel, Abdullah Makkeh, Oriol Corcoll, Raul Vicente

Entropy, 2022

Disentangling Controlled Effects for Hierarchical Reinforcement Learning.

Oriol Corcoll, Raul Vicente

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Modelling the Impact of Robotics on Infectious Spread Among Healthcare Workers.

Raul Vicente, Youssef Mohamed, Víctor M. Eguíluz, Emal Zemmar, Patrick Bayer, Joseph S. Neimat, Juha Hernesniemi, Bradley J. Nelson, Ajmal Zemmar

Frontiers Robotics AI, 2021

Did I do that? Blame as a means to identify controlled effects in reinforcement learning.

Oriol Corcoll, Raul Vicente

CoRR, 2021

2020

A model for time interval learning in the Purkinje cell.

Daniel Majoral, Ajmal Zemmar, Raul Vicente

PLoS Comput. Biol., 2020

Perspective Taking in Deep Reinforcement Learning Agents.

Aqeel Labash, Jaan Aru, Tambet Matiisen, Ardi Tampuu, Raul Vicente

Frontiers Comput. Neurosci., 2020

Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops.

Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk

CoRR, 2020

Partial Information Decomposition of Boolean Functions: a Fourier Analysis perspective.

Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente

CoRR, 2020

Disentangling causal effects for hierarchical reinforcement learning.

Oriol Corcoll, Raul Vicente

CoRR, 2020

2019

Efficient neural decoding of self-location with a deep recurrent network.

Ardi Tampuu, Tambet Matiisen, H. Freyja Ólafsdóttir, Caswell Barry, Raul Vicente

PLoS Comput. Biol., 2019

IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks.

Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral

J. Open Source Softw., 2019

MAXENT3D_PID: An Estimator for the Maximum-Entropy Trivariate Partial Information Decomposition.

Abdullah Makkeh, Daniel Chicharro, Dirk Oliver Theis, Raul Vicente

Entropy, 2019

The many faces of deep learning.

Raul Vicente

CoRR, 2019

Direct information transfer rate optimisation for SSVEP-based BCI.

Anti Ingel, Ilya Kuzovkin, Raul Vicente

CoRR, 2019

2018

BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition.

Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente

Entropy, 2018

APES: a Python toolbox for simulating reinforcement learning environments.

Aqeel Labash, Ardi Tampuu, Tambet Matiisen, Jaan Aru, Raul Vicente

CoRR, 2018

Do deep reinforcement learning agents model intentions?

Tambet Matiisen, Aqeel Labash, Daniel Majoral, Jaan Aru, Raul Vicente

CoRR, 2018

What deep learning can tell us about higher cognitive functions like mindreading?

Jaan Aru, Raul Vicente

CoRR, 2018

Machine Learning for detection of viral sequences in human metagenomic datasets.

Zurab Bzhalava, Ardi Tampuu, Piotr Bala, Raul Vicente, Joakim Dillner

BMC Bioinform., 2018

2017

Analyzing Information Distribution in Complex Systems.

Sten Sootla, Dirk Oliver Theis, Raul Vicente

Entropy, 2017

Bivariate Partial Information Decomposition: The Optimization Perspective.

Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente

Entropy, 2017

2015

Assessing Coupling Dynamics from an Ensemble of Time Series.

Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente

Entropy, 2015

Multiagent Cooperation and Competition with Deep Reinforcement Learning.

Ardi Tampuu, Tambet Matiisen, Dorian Kodelja, Ilya Kuzovkin, Kristjan Korjus, Juhan Aru, Jaan Aru, Raul Vicente

CoRR, 2015

2014

Role of frequency mismatch in neuronal communication through coherence.

Belén Sancristóbal, Raul Vicente, Jordi García-Ojalvo

J. Comput. Neurosci., 2014

Efficient transfer entropy analysis of non-stationary neural time series.

Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente, Francisco Javier Díaz Pernas, Michael Wibral

CoRR, 2014

2013

Emergent bimodal firing patterns implement different encoding strategies during gamma-band oscillations.

Belén Sancristóbal, Raul Vicente, José M. Sancho, Jordi García-Ojalvo

Frontiers Comput. Neurosci., 2013

2012

Revisiting Wiener's principle of causality - interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs.

Michael Wibral, Patricia Wollstadt, Ulrich Meyer, Nicolae Pampu, Viola Priesemann, Raul Vicente

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Transfer entropy - a model-free measure of effective connectivity for the neurosciences.

Raul Vicente, Michael Wibral, Michael Lindner, Gordon Pipa

J. Comput. Neurosci., 2011

Spike Train Auto-Structure Impacts Post-Synaptic Firing and Timing-Based Plasticity.

Bertram Scheller, Marta Castellano, Raul Vicente, Gordon Pipa

Frontiers Comput. Neurosci., 2011

A Linear Model of Phase-Dependent Power Correlations in Neuronal Oscillations.

David Eriksson, Raul Vicente, Kerstin Erika Schmidt

Frontiers Comput. Neurosci., 2011

2008

Contour Integration and Synchronization in Neuronal Networks of the Visual Cortex.

Ekkehard Ullner, Raul Vicente, Gordon Pipa, Jordi García-Ojalvo

Proceedings of the Artificial Neural Networks, 2008

Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning.

Gordon Pipa, Raul Vicente, Alexander Tikhonov

Proceedings of the Artificial Neural Networks, 2008

2007

Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying.

Raul Vicente, Gordon Pipa, Ingo Fischer, Claudio R. Mirasso

Proceedings of the Artificial Neural Networks, 2007