Federico Monti
Citata da
Citata da
Geometric deep learning on graphs and manifolds using mixture model CNNs
MMB Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele RodolÓ, Jan ...
arXiv preprint arXiv:1611.08402, 2016
Geometric matrix completion with recurrent multi-graph neural networks
F Monti, M Bronstein, X Bresson
Advances in Neural Information Processing Systems, 3697-3707, 2017
Deep convolutional neural networks for pedestrian detection
D TomŔ, F Monti, L Baroffio, L Bondi, M Tagliasacchi, S Tubaro
Signal processing: image communication 47, 482-489, 2016
Cayleynets: Graph convolutional neural networks with complex rational spectral filters
R Levie, F Monti, X Bresson, MM Bronstein
IEEE Transactions on Signal Processing 67 (1), 97-109, 2018
Motifnet: a motif-based graph convolutional network for directed graphs
F Monti, K Otness, MM Bronstein
2018 IEEE Data Science Workshop (DSW), 225-228, 2018
Graph neural networks for icecube signal classification
N Choma, F Monti, L Gerhardt, T Palczewski, Z Ronaghi, P Prabhat, ...
2018 17th IEEE International Conference on Machine Learning and Applicationsá…, 2018
Fake news detection on social media using geometric deep learning
F Monti, F Frasca, D Eynard, D Mannion, MM Bronstein
arXiv preprint arXiv:1902.06673, 2019
Peernets: Exploiting peer wisdom against adversarial attacks
J Svoboda, J Masci, F Monti, MM Bronstein, L Guibas
arXiv preprint arXiv:1806.00088, 2018
Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski, O Litany, S GŘnnemann, MM Bronstein
arXiv preprint arXiv:1806.00770, 2018
Generative convolutional networks for latent fingerprint reconstruction
J Svoboda, F Monti, MM Bronstein
2017 IEEE International Joint Conference on Biometrics (IJCB), 429-436, 2017
Ratiometric sweat secretion optical test in cystic fibrosis, carriers and healthy subjects
G Bergamini, G Tridello, E Calcaterra, S Ceri, M Tagliasacchi, F Bianchi, ...
Journal of Cystic Fibrosis 17 (2), 186-189, 2018
Egg handling pasteurization apparatus and method
R Dibbs
US Patent App. 10/210,430, 2003
Using attribution to decode binding mechanism in neural network models for chemistry
K McCloskey, A Taly, F Monti, MP Brenner, LJ Colwell
Proceedings of the National Academy of Sciences 116 (24), 11624-11629, 2019
Deep geometric matrix completion: A new way for recommender systems
F Monti, MM Bronstein, X Bresson
2018 IEEE International Conference on Acoustics, Speech and Signalá…, 2018
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
P Gainza, F Sverrisson, F Monti, E RodolÓ, D Boscaini, MM Bronstein, ...
Nature Methods 17 (2), 184-192, 2020
ncRNA Classification with Graph Convolutional Networks
E Rossi, F Monti, M Bronstein, P Li˛
arXiv preprint arXiv:1905.06515, 2019
Using attribution to decode dataset bias in neural network models for chemistry
K McCloskey, A Taly, F Monti, MP Brenner, L Colwell
arXiv preprint arXiv:1811.11310, 2018
Method and system for learning on geometric domains using local operators
M Bronstein, R Levie, F Monti
US Patent App. 15/982,609, 2019
Recommendation system and method for estimating the elements of a multi-dimensional tensor on geometric domains from partial observations
M Bronstein, F Monti, X Bresson
US Patent App. 15/952,984, 2019
Decrypting interaction fingerprints in protein molecular surfaces
P Gainza, F Sverrisson, F Monti, M Bronstein, B Correia
European Biophysics Journal With Biophysics Letters 48 (CONF), S224-S224, 2019
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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