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ORCIDFerran Mazzanti
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2020 – today
- 2024
[j3]J. Garí
, E. Romero, Ferran Mazzanti:
Learning restricted Boltzmann machines with pattern induced weights. Neurocomputing 610: 128469 (2024)- [i2]A. Prat Pou, E. Romero, J. Martí, Ferran Mazzanti:
Mean field initialization of the Annealed Importance Sampling algorithm for an efficient evaluation of the Partition Function of Restricted Boltzmann Machines. CoRR abs/2404.11229 (2024) - 2020
- [i1]Ferran Mazzanti, Enrique Romero:
Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling. CoRR abs/2007.11926 (2020)
2010 – 2019
- 2019
- [j2]Enrique Romero, Ferran Mazzanti, Jordi Delgado, David Buchaca Prats:
Weighted contrastive divergence. Neural Networks 114: 147-156 (2019) - 2014
- [c1]David Buchaca Prats, Enrique Romero, Ferran Mazzanti, Jordi Delgado:
Stopping Criteria in Contrastive Divergence: Alternatives to the Reconstruction Error. ICLR (Workshop Poster) 2014
2000 – 2009
- 2008
- [j1]Enric Farguell, Ferran Mazzanti, Eduardo Gómez-Ramírez:
Boltzmann Machines Reduction by High-Order Decimation. IEEE Trans. Neural Networks 19(10): 1816-1821 (2008) - 2007
- [p1]Enric Farguell, Ferran Mazzanti, Eduardo Gómez-Ramírez:
ChapBoltzmann Machines Learning Using High Order Decimation. Hybrid Intelligent Systems 2007: 21-42
Coauthor Index
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