Axel Brando

37 papers A* 1A 5B 3C 3Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
CEPAE: Conditional Entropy-Penalized Autoencoders for Time Series Counterfactuals.
CoRR
Tomas Garriga, Gerard Sanz, Eduard Serrahima De Cambra, Axel Brando
2026 J jnl
CEPAE: Conditional Entropy-Penalized Autoencoders for Time Series Counterfactuals.
Trans. Mach. Learn. Res.
Tomas Garriga, Gerard Sanz, Eduard Serrahima De Cambra, Axel Brando
2026 J jnl
Exactly Computing do-Shapley Values.
CoRR
R. Teal Witter, Álvaro Parafita, Tomas Garriga, Maximilian Muschalik, Fabian Fumagalli, Axel Brando, Lucas Rosenblatt
2026 J jnl
Solving the Contextual Pure Cold-Start Problem under Uncertainty.
Trans. Recomm. Syst.
Paula Gómez Duran, Axel Brando, Jordi Vitrià
2025 J jnl
CID: Measuring Feature Importance Through Counterfactual Distributions.
CoRR
Eddie Conti, Álvaro Parafita, Axel Brando
2025 A conf
EMR: Removing Multicollinear Event Monitors to Improve Timing Modelling of Real-Time Systems.
RTSS
David Fonts, Diego Palacios, Sergi Vilardell, Axel Brando, Isabel Serra, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla
2025 C conf
Leveraging Image-Based Transformations to Mitigate Adversarial Attacks in AI-Based Safety-Critical Systems.
IOLTS
Martí Caro, Axel Brando, Jaume Abella
2025 — conf
Managing Sources of Uncertainty in Utilizing AI in Development and Deployment of Safety-Critical Autonomous Systems.
ICSA Companion
Robert Lowe, Maria Ulan, Thanh Hai Bui, Ana Adell, Jokin Labaien, Axel Brando
2025 B conf
Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix.
IJCNN
Unai Gurbindo, Axel Brando, Jaume Abella, Caroline König
2025 J jnl
Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix.
CoRR
Unai Gurbindo, Axel Brando, Jaume Abella, Caroline König
2025 J jnl
Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All?
CoRR
Josu Eguiluz Castañeira, Axel Brando, Migle Laukyte, Marc Serra-Vidal
2025 J jnl
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference.
CoRR
Álvaro Parafita, Tomas Garriga, Axel Brando, Francisco J. Cazorla
2025 J jnl
Probing the Embedding Space of Transformers via Minimal Token Perturbations.
CoRR
Eddie Conti, Alejandro Astruc, Álvaro Parafita, Axel Brando
2025 C conf
SAFEXPLAIN: a Complete Approach Towards Trustworthy AI-Based Safety-Critical Systems.
DSD
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
2025 J jnl
Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models.
CoRR
Lucas Berry, Axel Brando, Wei-Di Chang, Juan Camilo Gamboa Higuera, David Meger
2025 J jnl
Semantic Diverse DMR and TMR for High-Integrity AI-Based Function Efficiency.
ACM Trans. Cyber Phys. Syst.
Martí Caro, Axel Brando, Jaume Abella
2024 C conf
Safety-Relevant AI-Based System Robustification with Neural Network Ensembles.
IOLTS
Adrià Aldomà, Axel Brando, Francisco J. Cazorla, Jaume Abella
2024 A conf
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models.
UAI
Lucas Berry, Axel Brando, David Meger
2024 J jnl
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models.
CoRR
Lucas Berry, Axel Brando, David Meger
2023 B conf
EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS.
ETS
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
2023 J jnl
Main sources of variability and non-determinism in AD software: taxonomy and prospects to handle them.
Real Time Syst.
Miguel Alcon, Axel Brando, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla
2023 J jnl
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS.
CoRR
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
2023 J jnl
On Neural Networks Redundancy and Diversity for Their Use in Safety-Critical Systems.
Computer
Axel Brando, Isabel Serra, Enrico Mezzetti, Francisco J. Cazorla, Jon Pérez-Cerrolaza, Jaume Abella
2023 A conf
Retrospective Uncertainties for Deep Models using Vine Copulas.
AISTATS
Natasa Tagasovska, Firat Ozdemir, Axel Brando
2023 J jnl
Retrospective Uncertainties for Deep Models using Vine Copulas.
CoRR
Natasa Tagasovska, Firat Ozdemir, Axel Brando
2023 A conf
SAFEXPLAIN: Safe and Explainable Critical Embedded Systems Based on AI.
DATE
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
2023 — conf
Standardizing the Probabilistic Sources of Uncertainty for the sake of Safety Deep Learning.
SafeAI@AAAI
Axel Brando, Isabel Serra, Enrico Mezzetti, Francisco J. Cazorla, Jaume Abella
2022 — —
Aleatoric Uncertainty Modelling in Regression Problems using Deep Learning
Axel Brando
2022 J jnl
Deep Non-Crossing Quantiles through the Partial Derivative.
CoRR
Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià
2022 A conf
Deep Non-crossing Quantiles through the Partial Derivative.
AISTATS
Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià
2022 B conf
Using Quantile Regression in Neural Networks for Contention Prediction in Multicore Processors.
ECRTS
Axel Brando, Isabel Serra, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla
2020 J jnl
Building Uncertainty Models on Top of Black-Box Predictive APIs.
IEEE Access
Axel Brando, Damià Torres, José A. Rodríguez-Serrano, Jordi Vitrià
2019 A* conf
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians.
NeurIPS
Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio
2019 J jnl
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians.
CoRR
Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio
2019 — conf
Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis.
IbPRIA (1)
José Mena, Axel Brando, Oriol Pujol, Jordi Vitrià
2018 — conf
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series.
ECML/PKDD (3)
Axel Brando, José A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià
2018 J jnl
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series.
CoRR
Axel Brando, José A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià