Federico Monti

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 27

Top Topics

Graph Structures

Top Venues

Eurographics (Tutorials)

Publications

Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. AdKDD@KDD (2023)
Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. CoRR (2023)
Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong
Learning to Infer Structures of Network Games. ICML (2022)
Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong
Learning to Infer Structures of Network Games. CoRR (2022)
Emanuele Rossi, Ben Chamberlain, Fabrizio Frasca, Davide Eynard, Federico Monti, Michael M. Bronstein
Temporal Graph Networks for Deep Learning on Dynamic Graphs. CoRR (2020)
Emanuele Rossi, Fabrizio Frasca, Ben Chamberlain, Davide Eynard, Michael M. Bronstein, Federico Monti
SIGN: Scalable Inception Graph Neural Networks. CoRR (2020)
Emanuele Rossi, Federico Monti, Michael M. Bronstein, Pietro Liò
ncRNA Classification with Graph Convolutional Networks. CoRR (2019)
Michael M. Bronstein, Leonidas J. Guibas, Iasonas Kokkinos, Or Litany, Niloy J. Mitra, Federico Monti, Emanuele Rodolà
Deep Learning for Computer Graphics and Geometry Processing. Eurographics (Tutorials) (2019)
Federico Monti, Fabrizio Frasca, Davide Eynard, Damon Mannion, Michael M. Bronstein
Fake News Detection on Social Media using Geometric Deep Learning. CoRR (2019)
Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters. IEEE Trans. Signal Process. 67 (1) (2019)
Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. ICLR (Poster) (2019)
Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. CoRR (2018)
Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna
Graph Neural Networks for IceCube Signal Classification. ICMLA (2018)
Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein
Dual-Primal Graph Convolutional Networks. CoRR (2018)
Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna
Graph Neural Networks for IceCube Signal Classification. CoRR (2018)
Federico Monti, Karl Otness, Michael M. Bronstein
MOTIFNET: A Motif-Based Graph Convolutional Network for Directed Graphs. DSW (2018)
Federico Monti, Michael M. Bronstein, Xavier Bresson
Deep Geometric Matrix Completion: A New Way for Recommender Systems. ICASSP (2018)
Federico Monti, Karl Otness, Michael M. Bronstein
MotifNet: a motif-based Graph Convolutional Network for directed graphs. CoRR (2018)
Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry. CoRR (2018)
Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters. CoRR (2017)
Jan Svoboda, Federico Monti, Michael M. Bronstein
Generative Convolutional Networks for Latent Fingerprint Reconstruction. CoRR (2017)
Federico Monti, Michael M. Bronstein, Xavier Bresson
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks. CoRR (2017)
Jan Svoboda, Federico Monti, Michael M. Bronstein
Generative convolutional networks for latent fingerprint reconstruction. IJCB (2017)
Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs. CVPR (2017)
Federico Monti, Michael M. Bronstein, Xavier Bresson
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks. NIPS (2017)
Denis Tomè, Federico Monti, Luca Baroffio, Luca Bondi, Marco Tagliasacchi, Stefano Tubaro
Deep Convolutional Neural Networks for pedestrian detection. Signal Process. Image Commun. 47 (2016)
Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein
Geometric deep learning on graphs and manifolds using mixture model CNNs. CoRR (2016)
Denis Tomè, Federico Monti, Luca Baroffio, Luca Bondi, Marco Tagliasacchi, Stefano Tubaro
Deep convolutional neural networks for pedestrian detection. CoRR (2015)