Pau Vilimelis Aceituno
Pau Vilimelis Aceituno
Institute for Neuroinformatics, ETH Zurich
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Cited by
Cited by
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
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
Tailoring Echo State Networks for Optimal Learning
PV Aceituno, G Yan, YY Liu
iScience, 101440, 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
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
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
Universal hypotrochoidic law for random matrices with cyclic correlations
PV Aceituno, T Rogers, H Schomerus
Physical Review E 100 (1), 010302, 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
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
Training Delays in Spiking Neural Networks
L State, PV Aceituno
International Conference on Artificial Neural Networks, 713-717, 2019
Learning Cortical Hierarchies with Temporal Hebbian Updates.
PV Aceituno, MT Farinha, R Loidl, BF Grewe
bioRxiv, 2023.01. 02.522459, 2023
Bio-Inspired, Task-Free Continual Learning through Activity Regularization
F Lässig, PV Aceituno, M Sorbaro, BF Grewe
arXiv preprint arXiv:2212.04316, 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
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
Mini-batching ecological data to improve ecosystem models with machine learning
V Boussange, P Vilimelis Aceituno, L Pellissier
bioRxiv, 2022.07. 25.501365, 2022
Minimizing costs of communication with random constant weight codes
PV Aceituno
arXiv preprint arXiv:2105.02504, 2021
Resonances induced by Spiking Time Dependent Plasticity
PV Aceituno
arXiv preprint arXiv:2006.08537, 2020
Structure, Dynamics and Self-Organization in Recurrent Neural Networks
DPV Aceituno
Max Planck Institute for Mathematics in the Sciences, 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
Spike Latency Reduction and its effects on the neural code
PV Aceituno, M Ehrsani, J Jost
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