Axel Brando

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Diffusion Model

Von Mises Fisher

Quantile Regression

Top Venues

Publications

Lucas Berry, Axel Brando, David Meger
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models. CoRR (2024)
Adrià Aldomà, Axel Brando, Francisco J. Cazorla, Jaume Abella
Safety-Relevant AI-Based System Robustification with Neural Network Ensembles. IOLTS (2024)
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) (2023)
Natasa Tagasovska, Firat Ozdemir, Axel Brando
Retrospective Uncertainties for Deep Models using Vine Copulas. AISTATS (2023)
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) (2023)
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 (2023)
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)
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)
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)
Natasa Tagasovska, Firat Ozdemir, Axel Brando
Retrospective Uncertainties for Deep Models using Vine Copulas. CoRR (2023)
Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià
Deep Non-Crossing Quantiles through the Partial Derivative. CoRR (2022)
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)
Axel Brando, Joan Gimeno, José A. Rodríguez-Serrano, Jordi Vitrià
Deep Non-crossing Quantiles through the Partial Derivative. AISTATS (2022)
Axel Brando, Damià Torres, José A. Rodríguez-Serrano, Jordi Vitrià
Building Uncertainty Models on Top of Black-Box Predictive APIs. IEEE Access 8 (2020)
Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians. NeurIPS (2019)
José Mena, Axel Brando, Oriol Pujol, Jordi Vitrià
Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis. IbPRIA (1) (2019)
Axel Brando, José A. Rodríguez-Serrano, Jordi Vitrià, Alberto Rubio
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians. CoRR (2019)
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)
Axel Brando, José A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series. CoRR (2018)