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ORCIDAxel Brando
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2020 – today
- 2026
[j5]Paula Gómez Duran
, Axel Brando, Jordi Vitrià:
Solving the Contextual Pure Cold-Start Problem under Uncertainty. Trans. Recomm. Syst. 4(1): 12:1-12:27 (2026)- 2025
- [j4]Martí Caro, Axel Brando, Jaume Abella:
Semantic Diverse DMR and TMR for High-Integrity AI-Based Function Efficiency. ACM Trans. Cyber Phys. Syst. 9(2): 15:1-15:26 (2025) - [c16]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:
SAFEXPLAIN: a Complete Approach Towards Trustworthy AI-Based Safety-Critical Systems. DSD 2025: 324-331 - [c15]Robert Lowe, Maria Ulan, Thanh Hai Bui, Ana Adell, Jokin Labaien, Axel Brando:
Managing Sources of Uncertainty in Utilizing AI in Development and Deployment of Safety-Critical Autonomous Systems. ICSA Companion 2025: 529-537 - [c14]Unai Gurbindo, Axel Brando, Jaume Abella, Caroline König:
Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix. IJCNN 2025: 1-8 - [c13]Martí Caro, Axel Brando, Jaume Abella:
Leveraging Image-Based Transformations to Mitigate Adversarial Attacks in AI-Based Safety-Critical Systems. IOLTS 2025: 1-5 - [c12]David Fonts, Diego Palacios, Sergi Vilardell, Axel Brando, Isabel Serra, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla:
EMR: Removing Multicollinear Event Monitors to Improve Timing Modelling of Real-Time Systems. RTSS 2025: 434-447 - [i12]Unai Gurbindo, Axel Brando, Jaume Abella, Caroline König:
Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix. CoRR abs/2505.08228 (2025) - [i11]Lucas Berry, Axel Brando, Wei-Di Chang, Juan Camilo Gamboa Higuera, David Meger:
Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models. CoRR abs/2505.13273 (2025) - [i10]Eddie Conti, Alejandro Astruc, Álvaro Parafita, Axel Brando:
Probing the Embedding Space of Transformers via Minimal Token Perturbations. CoRR abs/2506.18011 (2025) - [i9]Álvaro Parafita, Tomas Garriga, Axel Brando, Francisco J. Cazorla:
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference. CoRR abs/2509.20211 (2025) - [i8]Josu Eguiluz Castañeira, Axel Brando, Migle Laukyte, Marc Serra-Vidal:
Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All? CoRR abs/2511.00027 (2025) - [i7]Eddie Conti, Álvaro Parafita, Axel Brando:
CID: Measuring Feature Importance Through Counterfactual Distributions. CoRR abs/2511.15371 (2025) - 2024
- [c11]Adrià Aldomà, Axel Brando, Francisco J. Cazorla, Jaume Abella:
Safety-Relevant AI-Based System Robustification with Neural Network Ensembles. IOLTS 2024: 1-3 - [c10]Lucas Berry, Axel Brando, David Meger:
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models. UAI 2024: 360-376 - [d2]Martí Caro, Axel Brando, Jaume Abella:
GPU Implementation of Semantic Diverse DMR and TMR for High-Integrity AI-Based Functionalities. Zenodo, 2024
- [i6]Lucas Berry, Axel Brando, David Meger:
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models. CoRR abs/2406.18580 (2024) - 2023
- [j3]Axel Brando, Isabel Serra, Enrico Mezzetti, Francisco J. Cazorla, Jon Pérez-Cerrolaza, Jaume Abella:
On Neural Networks Redundancy and Diversity for Their Use in Safety-Critical Systems. Computer 56(5): 41-50 (2023) - [j2]Miguel Alcon, Axel Brando, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla:
Main sources of variability and non-determinism in AD software: taxonomy and prospects to handle them. Real Time Syst. 59(3): 438-478 (2023) - [c9]Axel Brando, Isabel Serra, Enrico Mezzetti, Francisco J. Cazorla, Jaume Abella:
Standardizing the Probabilistic Sources of Uncertainty for the sake of Safety Deep Learning. SafeAI@AAAI 2023 - [c8]Natasa Tagasovska, Firat Ozdemir, Axel Brando:
Retrospective Uncertainties for Deep Models using Vine Copulas. AISTATS 2023: 7528-7539 - [c7]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:
SAFEXPLAIN: Safe and Explainable Critical Embedded Systems Based on AI. DATE 2023: 1-6 - [c6]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:
EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. ETS 2023: 1-6 - [d1]Paula Gómez Duran, Jordi Vitrià, Axel Brando:
Contextual dataset from a Public Service Media. Zenodo, 2023 - [i5]Natasa Tagasovska, Firat Ozdemir, Axel Brando:
Retrospective Uncertainties for Deep Models using Vine Copulas. CoRR abs/2302.12606 (2023) - [i4]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:
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. CoRR abs/2305.03139 (2023) - 2022
- [b1]Axel Brando:
Aleatoric Uncertainty Modelling in Regression Problems using Deep Learning. University of Barcelona, Spain, 2022 - [c5]Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià:
Deep Non-crossing Quantiles through the Partial Derivative. AISTATS 2022: 7902-7914 - [c4]Axel Brando, Isabel Serra, Enrico Mezzetti, Jaume Abella, Francisco J. Cazorla:
Using Quantile Regression in Neural Networks for Contention Prediction in Multicore Processors. ECRTS 2022: 4:1-4:25 - [i3]Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià:
Deep Non-Crossing Quantiles through the Partial Derivative. CoRR abs/2201.12848 (2022) - 2020
- [j1]Axel Brando, Damià Torres, José A. Rodríguez-Serrano, Jordi Vitrià:
Building Uncertainty Models on Top of Black-Box Predictive APIs. IEEE Access 8: 121344-121356 (2020)
2010 – 2019
- 2019
- [c3]José Mena, Axel Brando, Oriol Pujol, Jordi Vitrià:
Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis. IbPRIA (1) 2019: 29-40 - [c2]Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio:
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians. NeurIPS 2019: 8836-8846 - [i2]Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio:
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians. CoRR abs/1910.12288 (2019) - 2018
- [c1]Axel Brando, José A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià:
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series. ECML/PKDD (3) 2018: 325-340 - [i1]Axel Brando, José A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià:
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series. CoRR abs/1807.09011 (2018)
Coauthor Index
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last updated on 2026-02-27 00:25 CET by the dblp team
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