Axel Brando

According to our database, Axel Brando authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models.

Lucas Berry, Axel Brando, David Meger

CoRR, 2024

Safety-Relevant AI-Based System Robustification with Neural Network Ensembles.

Adrià Aldomà, Axel Brando, Francisco J. Cazorla, Jaume Abella

Proceedings of the 30th IEEE International Symposium on On-Line Testing and Robust System Design, 2024

2023

Main sources of variability and non-determinism in AD software: taxonomy and prospects to handle them.

Miguel Alcon, Axel Brando, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla

Real Time Syst., September, 2023

On Neural Networks Redundancy and Diversity for Their Use in Safety-Critical Systems.

Axel Brando, Isabel Serra, Enrico Mezzetti, Francisco J. Cazorla, Jon Pérez-Cerrolaza, Jaume Abella

Computer, May, 2023

NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS.

Fabio Pavanello, Cédric Marchand, Ian O'Connor, Régis Orobtchouk, Fabien Mandorlo, Xavier Letartre, Sébastien Cueff, Elena-Ioana Vatajelu, Giorgio Di Natale, Benoit Cluzel, Aurelien Coillet, Benoît Charbonnier, Pierre Noe, Frantisek Kavan, Martin Zoldak, Michal Szaj, Peter Bienstman, Thomas Van Vaerenbergh, Ulrich Rührmair, Paulo F. Flores, Luís Guerra e Silva, Ricardo Chaves, Luís Miguel Silveira, Mariano Ceccato, Dimitris Gizopoulos, George Papadimitriou, Vasileios Karakostas, Axel Brando, Francisco J. Cazorla, Ramon Canal, Pau Closas, Adria Gusi-Amigo, Paolo Crovetti, Alessio Carpegna, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino

CoRR, 2023

EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS.

Fabio Pavanello, Cédric Marchand, Ian O'Connor, Régis Orobtchouk, Fabien Mandorlo, Xavier Letartre, Sébastien Cueff, Elena-Ioana Vatajelu, Giorgio Di Natale, Benoit Cluzel, Aurelien Coillet, Benoît Charbonnier, Pierre Noe, Frantisek Kavan, Martin Zoldak, Michal Szaj, Peter Bienstman, Thomas Van Vaerenbergh, Ulrich Rührmair, Paulo F. Flores, Luís Guerra e Silva, Ricardo Chaves, Luís Miguel Silveira, Mariano Ceccato, Dimitris Gizopoulos, George Papadimitriou, Vasileios Karakostas, Axel Brando, Francisco J. Cazorla, Ramon Canal, Pau Closas, Adria Gusi-Amigo, Paolo Crovetti, Alessio Carpegna, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino

Proceedings of the IEEE European Test Symposium, 2023

SAFEXPLAIN: Safe and Explainable Critical Embedded Systems Based on AI.

Jaume Abella, Jon Pérez, Cristofer Englund, Bahram Zonooz, Gabriele Giordana, Carlo Donzella, Francisco J. Cazorla, Enrico Mezzetti, Isabel Serra, Axel Brando, Irune Agirre, Fernando Eizaguirre, Thanh Hai Bui, Elahe Arani, Fahad Sarfraz, Ajay Balasubramaniam, Ahmed Badar, Ilaria Bloise, Lorenzo Feruglio, Ilaria Cinelli, Davide Brighenti, Davide Cunial

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Retrospective Uncertainties for Deep Models using Vine Copulas.

Natasa Tagasovska, Firat Ozdemir, Axel Brando

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Standardizing the Probabilistic Sources of Uncertainty for the sake of Safety Deep Learning.

Axel Brando, Isabel Serra, Enrico Mezzetti, Francisco J. Cazorla, Jaume Abella

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

Aleatoric Uncertainty Modelling in Regression Problems using Deep Learning

Axel Brando

PhD thesis, 2022

Using Quantile Regression in Neural Networks for Contention Prediction in Multicore Processors.

Axel Brando, Isabel Serra, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla

Proceedings of the 34th Euromicro Conference on Real-Time Systems, 2022

Deep Non-crossing Quantiles through the Partial Derivative.

Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Building Uncertainty Models on Top of Black-Box Predictive APIs.

Axel Brando, Damià Torres, José A. Rodríguez-Serrano, Jordi Vitrià

IEEE Access, 2020

2019

Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians.

Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis.

José Mena, Axel Brando, Oriol Pujol, Jordi Vitrià

Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

2018

Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series.

Axel Brando, José A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018