Visual attention with deep neural networks. - Alfredo Canziani; Eugenio Culurciello (CISS, 2015)

An Analysis of Deep Neural Network Models for Practical Applications. - Alfredo Canziani; Adam Paszke; Eugenio Culurciello (CoRR, 2016)

Evaluation of neural network architectures for embedded systems. - Alfredo Canziani; Eugenio Culurciello; Adam Paszke (ISCAS, 2017)

CortexNet: a Generic Network Family for Robust Visual Temporal Representations. - Alfredo Canziani; Eugenio Culurciello (CoRR, 2017)

A Face Recognition System Using Off-the-Shelf Feature Extractors and an Ad-Hoc Classifier. - Stefano Marsi; Luca De Bortoli; Francesco Guzzi; Jhilik Bhattacharya; Francesco Cicala; Sergio Carrato; Alfredo Canziani; Giovanni Ramponi (ApplePies, 2018)

Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic. - Mikael Henaff; Alfredo Canziani; Yann LeCun (ICLR (Poster), 2019)

Teaching Deep Learning, a boisterous ever-evolving field. - Alfredo Canziani (Teaching ML, 2021)

Separating the World and Ego Models for Self-Driving. - Vlad Sobal; Alfredo Canziani; Nicolas Carion; Kyunghyun Cho; Yann LeCun (CoRR, 2022)

TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning. - Jiachen Zhu 002; Rafael M. Moraes; Serkan Karakulak; Vlad Sobol; Alfredo Canziani; Yann LeCun (CoRR, 2022)