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2020 – today
- 2024
[c10]Adrià Aldomà, Axel Brando, Francisco J. Cazorla, Jaume Abella:
Safety-Relevant AI-Based System Robustification with Neural Network Ensembles. IOLTS 2024: 1-3- [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 - [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 2024-10-07 22:18 CEST by the dblp team
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