Luca Franceschi
Luca Franceschi
University College London - Istituto Italiano di Tecnologia
Verified email at iit.it
TitleCited byYear
Bilevel programming for hyperparameter optimization and meta-learning
L Franceschi, P Frasconi, S Salzo, R Grazzi, M Pontil
arXiv preprint arXiv:1806.04910, 2018
582018
Forward and reverse gradient-based hyperparameter optimization
L Franceschi, M Donini, P Frasconi, M Pontil
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
492017
Learning discrete structures for graph neural networks
L Franceschi, M Niepert, M Pontil, X He
arXiv preprint arXiv:1903.11960, 2019
72019
Fast and continuous foothold adaptation for dynamic locomotion through CNNs
OAV Magaņa, V Barasuol, M Camurri, L Franceschi, M Focchi, M Pontil, ...
IEEE Robotics and Automation Letters 4 (2), 2140-2147, 2019
62019
A bridge between hyperparameter optimization and larning-to-learn
L Franceschi, P Frasconi, M Donini, M Pontil
stat 1050, 18, 2017
62017
A Speaker Adaptive DNN Training Approach for Speaker-independent Acoustic Inversion
L Badino, L Franceschi, R Arora, M Donini, M Pontil
Proc. Interspeech 2017, 984-988, 2017
22017
Deep convolutional terrain assessment for visual reactive footstep correction on dynamic legged robots
O Villarreal, V Barasuol, M Camurri, M Focchi, L Franceschi, M Pontil, ...
IROS 2018 Workshop: Machine Learning in Robot Motion Planning, 2018
12018
A bridge between hyperparameter optimization and learning-to-learn
L Franceschi, M Donini, P Frasconi, M Pontil
arXiv preprint arXiv:1712.06283, 2017
12017
On Hyperparameter Optimization in Learning Systems
L Franceschi, M Donini, P Frasconi, M Pontil
12017
Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm
M Donini, L Franceschi, M Pontil, O Majumder, P Frasconi
arXiv preprint arXiv:1910.08525, 2019
2019
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning
L Franceschi, R Grazzi, M Pontil, S Salzo, P Frasconi
arXiv preprint arXiv:1806.04941, 2018
2018
Graph Structure Learning for GCNs
L Franceschi, M Niepert, M Pontil, X He
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