Federico Monti

According to our database, Federico Monti authored at least 19 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter.

Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich

Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), 2023

2022

Learning to Infer Structures of Network Games.

Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong

Proceedings of the International Conference on Machine Learning, 2022

2020

Temporal Graph Networks for Deep Learning on Dynamic Graphs.

Emanuele Rossi, Ben Chamberlain, Fabrizio Frasca, Davide Eynard, Federico Monti, Michael M. Bronstein

CoRR, 2020

SIGN: Scalable Inception Graph Neural Networks.

Emanuele Rossi, Fabrizio Frasca, Ben Chamberlain, Davide Eynard, Michael M. Bronstein, Federico Monti

CoRR, 2020

2019

CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters.

Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein

IEEE Trans. Signal Process., 2019

ncRNA Classification with Graph Convolutional Networks.

Emanuele Rossi, Federico Monti, Michael M. Bronstein, Pietro Liò

CoRR, 2019

Fake News Detection on Social Media using Geometric Deep Learning.

Federico Monti, Fabrizio Frasca, Davide Eynard, Damon Mannion, Michael M. Bronstein

CoRR, 2019

PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks.

Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas

Proceedings of the 7th International Conference on Learning Representations, 2019

Deep Learning for Computer Graphics and Geometry Processing.

Michael M. Bronstein, Leonidas J. Guibas, Iasonas Kokkinos, Or Litany, Niloy J. Mitra, Federico Monti, Emanuele Rodolà

Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

2018

Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry.

Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell

CoRR, 2018

Dual-Primal Graph Convolutional Networks.

Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein

CoRR, 2018

Graph Neural Networks for IceCube Signal Classification.

Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Deep Geometric Matrix Completion: A New Way for Recommender Systems.

Federico Monti, Michael M. Bronstein, Xavier Bresson

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

MOTIFNET: A Motif-Based Graph Convolutional Network for Directed Graphs.

Federico Monti, Karl Otness, Michael M. Bronstein

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks.

Federico Monti, Michael M. Bronstein, Xavier Bresson

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Generative convolutional networks for latent fingerprint reconstruction.

Jan Svoboda, Federico Monti, Michael M. Bronstein

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs.

Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Deep Convolutional Neural Networks for pedestrian detection.

Denis Tomè, Federico Monti, Luca Baroffio, Luca Bondi, Marco Tagliasacchi, Stefano Tubaro

Signal Process. Image Commun., 2016

2014

TCAD analysis of HCS degradation in LDMOS devices under AC stress conditions.

Federico Monti, Susanna Reggiani, Gaetano Barone, Elena Gnani, Antonio Gnudi, Giorgio Baccarani, Stefano Poli, Ming-Yeh Chuang, Weidong Tian, Dhanoop Varghese, Rick Wise

Proceedings of the 44th European Solid State Device Research Conference, 2014