Pau Vilimelis Aceituno

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Jörg HenkelProfessor of Computer Science, Karlsruhe Institute of TechnologyVerified email at kit.edu
Semeen RehmanVienna University of Technology (TU Wien)Verified email at tuwien.ac.at
Muhammad ShafiqueProfessor, Electrical and Computer Engineering, New York University Abu Dhabi (NYUAD), NYUVerified email at nyu.edu
Benjamin F. GreweInstitute of Neuroinformatics, ETH ZurichVerified email at ethz.ch
Jürgen JostDirector, Max Planck Institute for Mathematics in the SciencesVerified email at mis.mpg.de
Matilde Tristany FarinhaETH Zurich (D-ITET)Verified email at ethz.ch
Jian-Jia ChenTU Dortmund University and Lamarr Institute, GermanyVerified email at cs.uni-dortmund.de
Henning SchomerusProfessor of Physics, Lancaster UniversityVerified email at lancaster.ac.uk
Tim RogersUniversity of BathVerified email at bath.ac.uk
Haessig GermainInstitute of Neuroinformatics, University of Zurich, ETH ZurichVerified email at ini.uzh.ch
James KnightResearch Fellow, The University of SussexVerified email at sussex.ac.uk
Giacomo IndiveriInstitute of Neuroinformatics, University of Zurich and ETH ZurichVerified email at ini.uzh.ch
R.B BenosmanDirector of Research, MetaVerified email at meta.com
André van SchaikDirector, International Centre for Neuromorphic Systems, Western Sydney UniversityVerified email at westernsydney.edu.au
Omar OubariPhDVerified email at etu.sorbonne-universite.fr
Moritz MildePost doctoral fellow, International Centre for Neuromorphic Systems (ICNS), Western SydneyVerified email at westernsydney.edu.au
Alexander MeulemansETH ZürichVerified email at ethz.ch
João SacramentoETH Zurich, SwitzerlandVerified email at joaosacramento.com
Javier García OrdóñezMSc Neural Systems and Computation, Institute of Neuroinformatics, ETH-UZHVerified email at student.ethz.ch
Yang-Yu LiuAssociate Professor, Harvard Medical School; Associate Scientist, Brigham and Women’s HospitalVerified email at channing.harvard.edu

Pau Vilimelis Aceituno

Institute for Neuroinformatics, ETH Zurich

Verified email at ini.uzh.ch

Complex Systems Information Theory Reservoir Computing Recurrent Neural Networks


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Exploiting program-level masking and error propagation for constrained reliability optimization M Shafique, S Rehman, PV Aceituno, J Henkel Proceedings of the 50th Annual Design Automation Conference, 1-9, 2013	75	2013
Leveraging variable function resilience for selective software reliability on unreliable hardware S Rehman, M Shafique, PV Aceituno, F Kriebel, JJ Chen, J Henkel 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2013	36	2013
Tailoring Echo State Networks for Optimal Learning PV Aceituno, G Yan, YY Liu iScience, 101440, 2020	18*	2020
Credit assignment in neural networks through deep feedback control A Meulemans, M Tristany Farinha, J Garcia Ordonez, P Vilimelis Aceituno, ... Advances in Neural Information Processing Systems 34, 4674-4687, 2021	16	2021
Event-based computation for touch localization based on precise spike timing G Haessig, MB Milde, PV Aceituno, O Oubari, JC Knight, A Van Schaik, ... Frontiers in neuroscience, 420, 2020	16	2020
Acsem: Accuracy-configurable fast soft error masking analysis in combinatorial circuits F Kriebel, S Rehman, D Sun, PV Aceituno, M Shafique, J Henkel 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 824-829, 2015	14	2015
Universal hypotrochoidic law for random matrices with cyclic correlations PV Aceituno, T Rogers, H Schomerus Physical Review E 100 (1), 010302, 2019	12	2019
Spiking time-dependent plasticity leads to efficient coding of predictions P Vilimelis Aceituno, M Ehsani, J Jost Biological cybernetics 114 (1), 43-61, 2020	6	2020
Eigenvalues of Random Signed Graphs with Cycles: A Graph-Centered View of the Method of Moments with Practical Applications PV Aceituno Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth …, 2022	2*	2022
Training Delays in Spiking Neural Networks L State, PV Aceituno International Conference on Artificial Neural Networks, 713-717, 2019	1	2019
Learning Cortical Hierarchies with Temporal Hebbian Updates. PV Aceituno, MT Farinha, R Loidl, BF Grewe bioRxiv, 2023.01. 02.522459, 2023		2023
Bio-Inspired, Task-Free Continual Learning through Activity Regularization F Lässig, PV Aceituno, M Sorbaro, BF Grewe arXiv preprint arXiv:2212.04316, 2022		2022
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel S Kobayashi, P Vilimelis Aceituno, J Von Oswald Advances in Neural Information Processing Systems 35, 25335-25348, 2022		2022
Directed and acyclic synaptic topology in the human layer 2/3 temporal cortex Y Peng, A Bjelde, PV Aceituno, FX Mittermaier, H Planert, S Grosser, ... ACTA PHYSIOLOGICA 236, 123-123, 2022		2022
Mini-batching ecological data to improve ecosystem models with machine learning V Boussange, P Vilimelis Aceituno, L Pellissier bioRxiv, 2022.07. 25.501365, 2022		2022
Minimizing costs of communication with random constant weight codes PV Aceituno arXiv preprint arXiv:2105.02504, 2021		2021
Resonances induced by Spiking Time Dependent Plasticity PV Aceituno arXiv preprint arXiv:2006.08537, 2020		2020
Structure, Dynamics and Self-Organization in Recurrent Neural Networks DPV Aceituno Max Planck Institute for Mathematics in the Sciences, 2020		2020
Training Delays in Spiking Neural Networks IV Tetko, P Karpov, P Vilimelis Aceituno, V Kůrková, F Theis ICANN 2019: Artificial Neural Networks and Machine Learning–ICANN 2019 …, 2019		2019
Spike Latency Reduction and its effects on the neural code PV Aceituno, M Ehrsani, J Jost

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