Sotabase

Career

· Clinical Assistant Professor of Computer Science and Data Science, New York University2017–
· Ph.D., Deep Learning, Purdue University2012–2017
· MSc, Microsystems and Nanotechnology, Cranfield University2010–2011
· Master's Degree, Electrical Engineering, University of Trieste2009–2011
· Bachelor's Degree, Electrical Engineering, University of Trieste2006–2009

Publications (24)

An Analysis of Deep Neural Network Models for Practical Applications
arXiv.org · 2016
1,228
cited
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
International Conference on Learning Representations · 2019
128
cited
Evaluation of neural network architectures for embedded systems
International Symposium on Circuits and Systems · 2017
38
cited
TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning
arXiv.org · 2022
25
cited
CortexNet: a Generic Network Family for Robust Visual Temporal Representations
arXiv.org · 2017
21
cited
Experimental characterisation of macro fibre composites and monolithic piezoelectric transducers for strain energy harvesting
Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring · 2012
14
cited
Separating the World and Ego Models for Self-Driving
arXiv.org · 2022
5
cited
Visual attention with deep neural networks
Annual Conference on Information Sciences and Systems · 2015
5
cited
A Face Recognition System Using Off-the-Shelf Feature Extractors and an Ad-Hoc Classifier
Applications in Electronics Pervading Industry, Environment and Society · 2018
3
cited
Teaching Deep Learning, a boisterous ever-evolving field
Teaching ML · 2021
1
cited
CortexNet: A Robust Predictive Deep Neural Network Trained on Videos
2017
Detecting Waterborne Debris with Sim2Real and Randomization
2019
Sotabase
Alfredo Canziani | Researcher Profile | Sotabase | Sotabase