Axel Brando

According to our database, Axel Brando authored at least 35 papers between 2018 and 2026.

Collaborative distances:

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

2026

Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection.

Tomas Garriga, Alejandro Almodóvar, Axel Brando, Gerard Sanz, Eduard Serrahima De Cambra, Juan Parras

CoRR, May, 2026

Solving the Contextual Pure Cold-Start Problem under Uncertainty.

Paula Gómez Duran, Axel Brando, Jordi Vitrià

Trans. Recomm. Syst., March, 2026

Exactly Computing do-Shapley Values.

R. Teal Witter, Álvaro Parafita, Tomas Garriga, Maximilian Muschalik, Fabian Fumagalli, Axel Brando, Lucas Rosenblatt

CoRR, February, 2026

TRUST Implementation based on the paper: Efficient Diverse Redundant DNNs for Autonomous Driving.

Martí Caro, Axel Brando, Jaume Abella

Dataset, January, 2026

CEPAE: Conditional Entropy-Penalized Autoencoders for Time Series Counterfactuals.

Tomas Garriga, Gerard Sanz, Eduard Serrahima De Cambra, Axel Brando

Trans. Mach. Learn. Res., 2026

2025

CID: Measuring Feature Importance Through Counterfactual Distributions.

Eddie Conti, Álvaro Parafita, Axel Brando

CoRR, November, 2025

Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All?

Josu Eguiluz Castañeira, Axel Brando, Migle Laukyte, Marc Serra-Vidal

CoRR, November, 2025

SAFEXPLAIN DLLib and Integration on SAFEXPLAIN Middleware.

Roger Pujol, Axel Brando, Enrico Mezzetti, Francisco J. Cazorla, Jaume Abella

Dataset, October, 2025

Probing the Embedding Space of Transformers via Minimal Token Perturbations.

Eddie Conti, Alejandro Astruc, Álvaro Parafita, Axel Brando

CoRR, June, 2025

Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models.

Lucas Berry, Axel Brando, Wei-Di Chang, Juan Camilo Gamboa Higuera, David Meger

CoRR, May, 2025

Semantic Diverse DMR and TMR for High-Integrity AI-Based Function Efficiency.

Martí Caro, Axel Brando, Jaume Abella

ACM Trans. Cyber Phys. Syst., April, 2025

EMR: Removing Multicollinear Event Monitors to Improve Timing Modelling of Real-Time Systems.

David Fonts, Diego Palacios, Sergi Vilardell, Axel Brando, Isabel Serra, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla

Proceedings of the IEEE Real-Time Systems Symposium, 2025

Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference.

Álvaro Parafita, Tomas Garriga, Axel Brando, Francisco J. Cazorla

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Leveraging Image-Based Transformations to Mitigate Adversarial Attacks in AI-Based Safety-Critical Systems.

Martí Caro, Axel Brando, Jaume Abella

Proceedings of the 31st IEEE International Symposium on On-Line Testing and Robust System Design, 2025

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix.

Unai Gurbindo, Axel Brando, Jaume Abella, Caroline König

Proceedings of the International Joint Conference on Neural Networks, 2025

Managing Sources of Uncertainty in Utilizing AI in Development and Deployment of Safety-Critical Autonomous Systems.

Robert Lowe, Maria Ulan, Thanh Hai Bui, Ana Adell, Jokin Labaien, Axel Brando

Proceedings of the 22nd IEEE International Conference on Software Architecture, 2025

SAFEXPLAIN: a Complete Approach Towards Trustworthy AI-Based Safety-Critical Systems.

Jaume Abella, Irune Agirre, Thanh Hai Bui, Frank Geujen, Gabriele Giordana, Carlo Donzella, Francisco J. Cazorla, Enrico Mezzetti, Axel Brando, Javier Fernández, Irune Yarza, Joanes Plazaola, Robert Lowe, Maria Ulan, Rob Lavreysen, Lucas Tosi, Ilaria Bloise, Lorenzo Feruglio, Ilaria Cinelli, Stefano Lodico, William Guarienti, Giuseppe Nicosia, Valeria Dallara

Proceedings of the 28th Euromicro Conference on Digital System Design, 2025

2024

GPU Implementation of Semantic Diverse DMR and TMR for High-Integrity AI-Based Functionalities.

Martí Caro, Axel Brando, Jaume Abella

Dataset, June, 2024

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

Lucas Berry, Axel Brando, David Meger

Proceedings of the Uncertainty in Artificial Intelligence, 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

Contextual dataset from a Public Service Media.

Paula Gómez Duran, Jordi Vitrià, Axel Brando

Dataset, April, 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