Federico Monti

30 papers A* 2B 1C 1Misc 1Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG. CoRR Dobrik Georgiev, Kheeran Naidu, Alberto Cattaneo, Federico Monti, Carlo Luschi, Daniel Justus
2023	—	`conf`	TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. AdKDD@KDD Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
2023	J	`jnl`	TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. CoRR Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
2022	A*	`conf`	Learning to Infer Structures of Network Games. ICML Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong
2022	J	`jnl`	Learning to Infer Structures of Network Games. CoRR Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong
2020	J	`jnl`	SIGN: Scalable Inception Graph Neural Networks. CoRR Emanuele Rossi, Fabrizio Frasca, Ben Chamberlain, Davide Eynard, Michael M. Bronstein, Federico Monti
2020	J	`jnl`	Temporal Graph Networks for Deep Learning on Dynamic Graphs. CoRR Emanuele Rossi, Ben Chamberlain, Fabrizio Frasca, Davide Eynard, Federico Monti, Michael M. Bronstein
2019	J	`jnl`	CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters. IEEE Trans. Signal Process. Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
2019	—	`conf`	Deep Learning for Computer Graphics and Geometry Processing. Eurographics (Tutorials) Michael M. Bronstein, Leonidas J. Guibas, Iasonas Kokkinos, Or Litany, Niloy J. Mitra, Federico Monti, Emanuele Rodolà
2019	J	`jnl`	Fake News Detection on Social Media using Geometric Deep Learning. CoRR Federico Monti, Fabrizio Frasca, Davide Eynard, Damon Mannion, Michael M. Bronstein
2019	—	`conf`	PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. ICLR (Poster) Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas
2019	J	`jnl`	ncRNA Classification with Graph Convolutional Networks. CoRR Emanuele Rossi, Federico Monti, Michael M. Bronstein, Pietro Liò
2018	Misc	`conf`	Deep Geometric Matrix Completion: A New Way for Recommender Systems. ICASSP Federico Monti, Michael M. Bronstein, Xavier Bresson
2018	J	`jnl`	Dual-Primal Graph Convolutional Networks. CoRR Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein
2018	C	`conf`	Graph Neural Networks for IceCube Signal Classification. ICMLA Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna
2018	J	`jnl`	Graph Neural Networks for IceCube Signal Classification. CoRR Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna
2018	—	`conf`	MOTIFNET: A Motif-Based Graph Convolutional Network for Directed Graphs. DSW Federico Monti, Karl Otness, Michael M. Bronstein
2018	J	`jnl`	MotifNet: a motif-based Graph Convolutional Network for directed graphs. CoRR Federico Monti, Karl Otness, Michael M. Bronstein
2018	J	`jnl`	PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. CoRR Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas
2018	J	`jnl`	Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry. CoRR Kevin McCloskey, Ankur Taly, Federico Monti, Michael P. Brenner, Lucy J. Colwell
2017	J	`jnl`	CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters. CoRR Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein
2017	J	`jnl`	Generative Convolutional Networks for Latent Fingerprint Reconstruction. CoRR Jan Svoboda, Federico Monti, Michael M. Bronstein
2017	B	`conf`	Generative convolutional networks for latent fingerprint reconstruction. IJCB Jan Svoboda, Federico Monti, Michael M. Bronstein
2017	A*	`conf`	Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs. CVPR Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein
2017	—	`conf`	Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks. NIPS Federico Monti, Michael M. Bronstein, Xavier Bresson
2017	J	`jnl`	Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks. CoRR Federico Monti, Michael M. Bronstein, Xavier Bresson
2016	J	`jnl`	Deep Convolutional Neural Networks for pedestrian detection. Signal Process. Image Commun. Denis Tomè, Federico Monti, Luca Baroffio, Luca Bondi, Marco Tagliasacchi, Stefano Tubaro
2016	J	`jnl`	Geometric deep learning on graphs and manifolds using mixture model CNNs. CoRR Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, Michael M. Bronstein
2015	J	`jnl`	Deep convolutional neural networks for pedestrian detection. CoRR Denis Tomè, Federico Monti, Luca Baroffio, Luca Bondi, Marco Tagliasacchi, Stefano Tubaro
2014	—	`conf`	TCAD analysis of HCS degradation in LDMOS devices under AC stress conditions. ESSDERC Federico Monti, Susanna Reggiani, Gaetano Barone, Elena Gnani, Antonio Gnudi, Giorgio Baccarani, Stefano Poli, Ming-Yeh Chuang, Weidong Tian, Dhanoop Varghese, Rick Wise