Mixture Density Networks (MDN) for distribution and uncertainty estimation A Brando Master’s thesis, Universitat Politecnica de Catalunya, 2017 | 33* | 2017 |
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 | 20 | 2018 |
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 | 17 | 2019 |
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 | 10 | 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 | 4 | 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 | 2 | 2020 |
Aleatoric Uncertainty Modelling in Regression Problems using Deep Learning A Brando Universitat de Barcelona, Available in axelbrando.github.io, 2022 | | 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 | | 2022 |
Reclaiming uncertainties of deterministic deep models with Vine Copulas N Tagasovska, A Brando, F Ozdemir ICLR Workshop on Robust ML, 2021 | | 2021 |
Detection of Balance Anomalies with Quantile Regression: the Power of Non-symmetry D Muelas, L Peinado, A Brando, JA Rodríguez-Serrano | | 2020 |
Estudi de les xarxes neuronals convolucionals profundes mitjançant Caffe A Brando Guillaumes | | 2015 |
Detecting Unusual Expense Categories for Financial Advice Apps A Brando, JA Rodríguez-Serrano, J Vitriŕ | | |