Raul Vicente

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 32

Top Topics

Weakly Supervised

Reinforcement Learning

Top Venues

PLoS Comput. Biol.

Artif. Intell. Rev.

Publications

Dmytro Shvetsov, Joonas Ariva, Marharyta Domnich, Raul Vicente, Dmytro Fishman
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images. CoRR (2024)
Eduard Barbu, Marharyta Domnich, Raul Vicente, Nikos Sakkas, André Morim
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis. CoRR (2024)
Marharyta Domnich, Raul Vicente
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence. CoRR (2024)
Aqeel Labash, Florian Fletzer, Daniel Majoral, Raul Vicente
Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning. CoRR (2023)
Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente
Mind the gap: challenges of deep learning approaches to Theory of Mind. Artif. Intell. Rev. 56 (9) (2023)
Oriol Corcoll, Youssef Sherif Mansour Mohamed, Raul Vicente
Did I do that? Blame as a means to identify controlled effects in reinforcement learning. Trans. Mach. Learn. Res. 2022 (2022)
Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente
Mind the gap: Challenges of deep learning approaches to Theory of Mind. CoRR (2022)
Anti Ingel, Abdullah Makkeh, Oriol Corcoll, Raul Vicente
Quantifying Reinforcement-Learning Agent's Autonomy, Reliance on Memory and Internalisation of the Environment. Entropy 24 (3) (2022)
Oriol Corcoll, Raul Vicente
Disentangling Controlled Effects for Hierarchical Reinforcement Learning. CLeaR (2022)
Raul Vicente, Youssef Mohamed, Víctor M. Eguíluz, Emal Zemmar, Patrick Bayer, Joseph S. Neimat, Juha Hernesniemi, Bradley J. Nelson, Ajmal Zemmar
Modelling the Impact of Robotics on Infectious Spread Among Healthcare Workers. Frontiers Robotics AI 8 (2021)
Oriol Corcoll, Raul Vicente
Did I do that? Blame as a means to identify controlled effects in reinforcement learning. CoRR (2021)
Daniel Majoral, Ajmal Zemmar, Raul Vicente
A model for time interval learning in the Purkinje cell. PLoS Comput. Biol. 16 (2) (2020)
Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk
Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops. CoRR (2020)
Aqeel Labash, Jaan Aru, Tambet Matiisen, Ardi Tampuu, Raul Vicente
Perspective Taking in Deep Reinforcement Learning Agents. Frontiers Comput. Neurosci. 14 (2020)
Oriol Corcoll, Raul Vicente
Disentangling causal effects for hierarchical reinforcement learning. CoRR (2020)
Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
Partial Information Decomposition of Boolean Functions: a Fourier Analysis perspective. CoRR (2020)
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) (2019)
Ardi Tampuu, Tambet Matiisen, H. Freyja Ólafsdóttir, Caswell Barry, Raul Vicente
Efficient neural decoding of self-location with a deep recurrent network. PLoS Comput. Biol. 15 (2) (2019)
Anti Ingel, Ilya Kuzovkin, Raul Vicente
Direct information transfer rate optimisation for SSVEP-based BCI. CoRR (2019)
Abdullah Makkeh, Daniel Chicharro, Dirk Oliver Theis, Raul Vicente
MAXENT3D_PID: An Estimator for the Maximum-Entropy Trivariate Partial Information Decomposition. Entropy 21 (9) (2019)
Aqeel Labash, Jaan Aru, Tambet Matiisen, Ardi Tampuu, Raul Vicente
Perspective Taking in Deep Reinforcement Learning Agents. CoRR (2019)
Raul Vicente
The many faces of deep learning. CoRR (2019)
Tambet Matiisen, Aqeel Labash, Daniel Majoral, Jaan Aru, Raul Vicente
Do deep reinforcement learning agents model intentions? CoRR (2018)
Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition. Entropy 20 (4) (2018)
Jaan Aru, Raul Vicente
What deep learning can tell us about higher cognitive functions like mindreading? CoRR (2018)
Zurab Bzhalava, Ardi Tampuu, Piotr Bala, Raul Vicente, Joakim Dillner
Machine Learning for detection of viral sequences in human metagenomic datasets. BMC Bioinform. 19 (1) (2018)
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 (2018)
Aqeel Labash, Ardi Tampuu, Tambet Matiisen, Jaan Aru, Raul Vicente
APES: a Python toolbox for simulating reinforcement learning environments. CoRR (2018)
Abdullah Makkeh, Dirk Oliver Theis, Raul Vicente
Bivariate Partial Information Decomposition: The Optimization Perspective. Entropy 19 (10) (2017)
Sten Sootla, Dirk Oliver Theis, Raul Vicente
Analyzing Information Distribution in Complex Systems. Entropy 19 (12) (2017)
Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente
Assessing Coupling Dynamics from an Ensemble of Time Series. Entropy 17 (4) (2015)
Ardi Tampuu, Tambet Matiisen, Dorian Kodelja, Ilya Kuzovkin, Kristjan Korjus, Juhan Aru, Jaan Aru, Raul Vicente
Multiagent Cooperation and Competition with Deep Reinforcement Learning. CoRR (2015)
Belén Sancristóbal, Raul Vicente, Jordi García-Ojalvo
Role of frequency mismatch in neuronal communication through coherence. J. Comput. Neurosci. 37 (2) (2014)
Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente, Francisco Javier Díaz Pernas, Michael Wibral
Efficient transfer entropy analysis of non-stationary neural time series. CoRR (2014)
Belén Sancristóbal, Raul Vicente, José M. Sancho, Jordi García-Ojalvo
Emergent bimodal firing patterns implement different encoding strategies during gamma-band oscillations. Frontiers Comput. Neurosci. 7 (2013)
Michael Wibral, Patricia Wollstadt, Ulrich Meyer, Nicolae Pampu, Viola Priesemann, Raul Vicente
Revisiting Wiener's principle of causality - interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs. EMBC (2012)
Bertram Scheller, Marta Castellano, Raul Vicente, Gordon Pipa
Spike Train Auto-Structure Impacts Post-Synaptic Firing and Timing-Based Plasticity. Frontiers Comput. Neurosci. 5 (2011)
David Eriksson, Raul Vicente, Kerstin Erika Schmidt
A Linear Model of Phase-Dependent Power Correlations in Neuronal Oscillations. Frontiers Comput. Neurosci. 5 (2011)
Raul Vicente, Michael Wibral, Michael Lindner, Gordon Pipa
Transfer entropy - a model-free measure of effective connectivity for the neurosciences. J. Comput. Neurosci. 30 (1) (2011)
Germán Gómez-Herrero, Wei Wu, Kalle Rutanen, Miguel C. Soriano, Gordon Pipa, Raul Vicente
Assessing coupling dynamics from an ensemble of time series CoRR (2010)
Gordon Pipa, Raul Vicente, Alexander Tikhonov
Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning. ICANN (2) (2008)
Ekkehard Ullner, Raul Vicente, Gordon Pipa, Jordi García-Ojalvo
Contour Integration and Synchronization in Neuronal Networks of the Visual Cortex. ICANN (2) (2008)
Raul Vicente, Gordon Pipa, Ingo Fischer, Claudio R. Mirasso
Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying. ICANN (1) (2007)