Pau Vilimelis Aceituno

23 papers A* 4A 2Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Continual Learning through Control Minimization.
CoRR
Sander de Haan, Yassine Taoudi-Benchekroun, Pau Vilimelis Aceituno, Benjamin F. Grewe
2025 J jnl
Temporal horizons in forecasting: a performance-learnability trade-off.
CoRR
Pau Vilimelis Aceituno, Jack William Miller, Noah Marti, Youssef Farag, Victor Boussange
2025 J jnl
Temporal horizons in forecasting: a performance-learnability trade-off.
Trans. Mach. Learn. Res.
Pau Vilimelis Aceituno, Jack William Miller, Noah Marti, Youssef Farag, Victor Boussange
2025 A* conf
The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training.
ICML
Matteo Saponati, Pascal Sager, Pau Vilimelis Aceituno, Thilo Stadelmann, Benjamin F. Grewe
2025 J jnl
The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training.
CoRR
Matteo Saponati, Pascal Sager, Pau Vilimelis Aceituno, Thilo Stadelmann, Benjamin F. Grewe
2024 J jnl
The Role of Temporal Hierarchy in Spiking Neural Networks.
CoRR
Filippo Moro, Pau Vilimelis Aceituno, Laura Kriener, Melika Payvand
2023 J jnl
Bio-inspired, task-free continual learning through activity regularization.
Biol. Cybern.
Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe
2023 J jnl
Learning cortical hierarchies with temporal Hebbian updates.
Frontiers Comput. Neurosci.
Pau Vilimelis Aceituno, Matilde Tristany Farinha, Reinhard Loidl, Benjamin F. Grewe
2022 J jnl
Bio-Inspired, Task-Free Continual Learning through Activity Regularization.
CoRR
Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe
2022 A* conf
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel.
NeurIPS
Seijin Kobayashi, Pau Vilimelis Aceituno, Johannes von Oswald
2022 J jnl
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel.
CoRR
Seijin Kobayashi, Pau Vilimelis Aceituno, Johannes von Oswald
2022 — conf
Information Theory Limits of Neuromorphic Energy Efficiency.
NICE
Pau Vilimelis Aceituno
2021 A* conf
Credit Assignment in Neural Networks through Deep Feedback Control.
NeurIPS
Alexander Meulemans, Matilde Tristany Farinha, Javier García Ordóñez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe
2021 J jnl
Credit Assignment in Neural Networks through Deep Feedback Control.
CoRR
Alexander Meulemans, Matilde Tristany Farinha, Javier García Ordóñez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe
2021 — conf
Eigenvalues of Random Signed Graphs with Cycles: A Graph-Centered View of the Method of Moments with Practical Applications.
COMPLEX NETWORKS
Pau Vilimelis Aceituno
2021 J jnl
Minimizing costs of communication with random constant weight codes.
CoRR
Pau Vilimelis Aceituno
2020 J jnl
Spiking time-dependent plasticity leads to efficient coding of predictions.
Biol. Cybern.
Pau Vilimelis Aceituno, Masud Ehsani, Jürgen Jost
2020 — —
Structure, Dynamics and Self-Organization in Recurrent Neural Networks: From Machine Learning to Theoretical Neuroscience.
Pau Vilimelis Aceituno
2019 — conf
Training Delays in Spiking Neural Networks.
ICANN (1)
Laura State, Pau Vilimelis Aceituno
2017 J jnl
Tailoring Artificial Neural Networks for Optimal Learning.
CoRR
Pau Vilimelis Aceituno, Yan Gang, Yang-Yu Liu
2015 A conf
ACSEM: accuracy-configurable fast soft error masking analysis in combinatorial circuits.
DATE
Florian Kriebel, Semeen Rehman, Duo Sun, Pau Vilimelis Aceituno, Muhammad Shafique, Jörg Henkel
2013 A* conf
Exploiting program-level masking and error propagation for constrained reliability optimization.
DAC
Muhammad Shafique, Semeen Rehman, Pau Vilimelis Aceituno, Jörg Henkel
2013 A conf
Leveraging variable function resilience for selective software reliability on unreliable hardware.
DATE
Semeen Rehman, Muhammad Shafique, Pau Vilimelis Aceituno, Florian Kriebel, Jian-Jia Chen, Jörg Henkel