Pau Vilimelis Aceituno

According to our database, Pau Vilimelis Aceituno authored at least 15 papers between 2013 and 2024.

Collaborative distances:

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

2024

The Role of Temporal Hierarchy in Spiking Neural Networks.

Filippo Moro, Pau Vilimelis Aceituno, Laura Kriener, Melika Payvand

CoRR, 2024

2023

Bio-inspired, task-free continual learning through activity regularization.

Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe

Biol. Cybern., October, 2023

Learning cortical hierarchies with temporal Hebbian updates.

Pau Vilimelis Aceituno, Matilde Tristany Farinha, Reinhard Loidl, Benjamin F. Grewe

Frontiers Comput. Neurosci., February, 2023

2022

Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel.

Seijin Kobayashi, Pau Vilimelis Aceituno, Johannes von Oswald

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Information Theory Limits of Neuromorphic Energy Efficiency.

Pau Vilimelis Aceituno

Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

2021

Minimizing costs of communication with random constant weight codes.

Pau Vilimelis Aceituno

CoRR, 2021

Credit Assignment in Neural Networks through Deep Feedback Control.

Alexander Meulemans, Matilde Tristany Farinha, Javier García Ordóñez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Eigenvalues of Random Signed Graphs with Cycles: A Graph-Centered View of the Method of Moments with Practical Applications.

Pau Vilimelis Aceituno

Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020

Structure, Dynamics and Self-Organization in Recurrent Neural Networks: From Machine Learning to Theoretical Neuroscience.

Pau Vilimelis Aceituno

PhD thesis, 2020

Spiking time-dependent plasticity leads to efficient coding of predictions.

Pau Vilimelis Aceituno, Masud Ehsani, Jürgen Jost

Biol. Cybern., 2020

2019

Training Delays in Spiking Neural Networks.

Laura State, Pau Vilimelis Aceituno

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2017

Tailoring Artificial Neural Networks for Optimal Learning.

Pau Vilimelis Aceituno, Yan Gang, Yang-Yu Liu

CoRR, 2017

2015

ACSEM: accuracy-configurable fast soft error masking analysis in combinatorial circuits.

Florian Kriebel, Semeen Rehman, Duo Sun, Pau Vilimelis Aceituno, Muhammad Shafique, Jörg Henkel

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2013

Leveraging variable function resilience for selective software reliability on unreliable hardware.

Semeen Rehman, Muhammad Shafique, Pau Vilimelis Aceituno, Florian Kriebel, Jian-Jia Chen, Jörg Henkel

Proceedings of the Design, Automation and Test in Europe, 2013

Exploiting program-level masking and error propagation for constrained reliability optimization.

Muhammad Shafique, Semeen Rehman, Pau Vilimelis Aceituno, Jörg Henkel

Proceedings of the 50th Annual Design Automation Conference 2013, 2013