Axel Brando
Axel Brando
Senior Researcher at BSC-CNS. Former Industrial Ph.D. at BBVA and UB
Verified email at - Homepage
Cited by
Cited by
Mixture Density Networks (MDN) for distribution and uncertainty estimation
A Brando
Master’s thesis, Universitat Politecnica de Catalunya, 2017
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
A Brando, JA Rodriguez, J Vitriŕ, AR Muńoz
Advances in Neural Information Processing Systems, 8838-8848, 2019
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series
A Brando, JA Rodríguez-Serrano, M Ciprian, R Maestre, J Vitriŕ
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis
J Mena, A Brando, O Pujol, J Vitriŕ
Iberian Conference on Pattern Recognition and Image Analysis, 29-40, 2019
Deep Non-Crossing Quantiles through the Partial Derivative
A Brando, BS Center, J Rodriguez-Serrano, J Vitria
International Conference on Artificial Intelligence and Statistics, 7902-7914, 2022
Building Uncertainty Models on Top of Black-Box Predictive APIs
A Brando, D Torres, JA Rodríguez-Serrano, J Vitriŕ
IEEE Access 8, 121344-121356, 2020
Aleatoric Uncertainty Modelling in Regression Problems using Deep Learning
A Brando
Universitat de Barcelona, Available in, 2022
Using Quantile Regression in Neural Networks for Contention Prediction in Multicore Processors
A Brando, I Serra, E Mezzetti, J Abella, FJ Cazorla
34th Euromicro Conference on Real-Time Systems (ECRTS 2022), 2022
Retrospective Uncertainties for Deep Models using Vine Copulas
N Tagasovska, F Ozdemir, A Brando
International Conference on Artificial Intelligence and Statistics, 2023
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS
F Pavanello, C Marchand, I O'Connor, R Orobtchouk, F Mandorlo, ...
arXiv preprint arXiv:2305.03139, 2023
On Neural Networks Redundancy and Diversity for Their Use in Safety-Critical Systems
A Brando, I Serra, E Mezzetti, FJ Cazorla, J Perez, J Abella
COMSI, 2023
Standardizing the Probabilistic Sources of Uncertainty for the sake of Safety Deep Learning
A Brando, I Serra, E Mezzetti, J Abella, FJ Cazorla
AAAI's Workshop on AI Safety, 2023
Main sources of variability and non-determinism in AD software: taxonomy and prospects to handle them
M Alcon, A Brando, E Mezzetti, J Abella, FJ Cazorla
Real-Time Systems 59 (3), 438-478, 2023
SAFEXPLAIN: Safe and Explainable Critical Embedded Systems Based on AI
J Abella Ferrer, J Perez, C Englund, B Zonooz, G Giordana, ...
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2023
Reclaiming uncertainties of deterministic deep models with Vine Copulas
N Tagasovska, A Brando, F Ozdemir
ICLR Workshop on Robust ML, 2021
Detection of Balance Anomalies with Quantile Regression: the Power of Non-symmetry
D Muelas, L Peinado, A Brando, JA Rodríguez-Serrano
Estudi de les xarxes neuronals convolucionals profundes mitjançant Caffe
A Brando Guillaumes
Detecting Unusual Expense Categories for Financial Advice Apps
A Brando, JA Rodríguez-Serrano, J Vitriŕ
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