Federico Monti
TitoloCitata daAnno
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
Generative convolutional networks for latent fingerprint reconstruction
J Svoboda, F Monti, MM Bronstein
2017 IEEE International Joint Conference on Biometrics (IJCB), 429-436, 2017
Dual-primal graph convolutional networks
F Monti, O Shchur, A Bojchevski, O Litany, S GŘnnemann, MM Bronstein
arXiv preprint arXiv:1806.00770, 2018
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, 1-9, 2019
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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