متابعة
Luca Franceschi
Luca Franceschi
Amazon Web Services
بريد إلكتروني تم التحقق منه على amazon.de
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Bilevel programming for hyperparameter optimization and meta-learning‏
L Franceschi, P Frasconi, S Salzo, R Grazzi, M Pontil‏
International conference on machine learning, 1568-1577, 2018‏
9012018
Forward and reverse gradient-based hyperparameter optimization‏
L Franceschi, M Donini, P Frasconi, M Pontil‏
International conference on machine learning, 1165-1173, 2017‏
5412017
Learning discrete structures for graph neural networks‏
L Franceschi, M Niepert, M Pontil, X He‏
International conference on machine learning, 1972-1982, 2019‏
5022019
On the iteration complexity of hypergradient computation‏
R Grazzi, L Franceschi, M Pontil, S Salzo‏
International Conference on Machine Learning, 3748-3758, 2020‏
2252020
Implicit MLE: backpropagating through discrete exponential family distributions‏
M Niepert, P Minervini, L Franceschi‏
Advances in Neural Information Processing Systems 34, 14567-14579, 2021‏
1092021
Fast and continuous foothold adaptation for dynamic locomotion through cnns‏
OAV Magana, V Barasuol, M Camurri, L Franceschi, M Focchi, M Pontil, ...‏
IEEE Robotics and Automation Letters 4 (2), 2140-2147, 2019‏
902019
MARTHE: Scheduling the Learning Rate Via Online Hypergradients‏
M Donini, L Franceschi, O Majumder, M Pontil, P Frasconi‏
Proceedings of the 29th International Joint Conference on Artificial …, 2020‏
31*2020
Refactor gnns: Revisiting factorisation-based models from a message-passing perspective‏
Y Chen, P Mishra, L Franceschi, P Minervini, PLE Saito Stenetorp, ...‏
Advances in Neural Information Processing Systems 35, 16138-16150, 2022‏
262022
A bridge between hyperparameter optimization and learning-to-learn‏
L Franceschi, M Donini, P Frasconi, M Pontil‏
arXiv preprint arXiv:1712.06283, 2017‏
192017
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models‏
P Minervini, L Franceschi, M Niepert‏
AAAI, 2022‏
162022
DAG learning on the permutahedron‏
V Zantedeschi, L Franceschi, J Kaddour, MJ Kusner, V Niculae‏
ICLR 2023, 2023‏
112023
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
82017
A unified framework for gradient-based hyperparameter optimization and meta-learning‏
L Franceschi‏
UCL (University College London), 2021‏
72021
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
42018
On hyperparameter optimization in learning systems‏
L Franceschi, M Donini, P Frasconi, M Pontil‏
42017
Jet Expansions of Residual Computation‏
Y Chen, X Xu, Y Lu, P Stenetorp, L Franceschi‏
arXiv preprint arXiv:2410.06024, 2024‏
22024
Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography‏
L Franceschi, C Zor, MB Zafar, G Detommaso, C Archambeau, T Madl, ...‏
ICLR 2023 Workshop on Trustworthy Machine Learning for Healthcare, 2023‏
22023
Learning discrete directed acyclic graphs via backpropagation‏
AJ Wren, P Minervini, L Franceschi, V Zantedeschi‏
arXiv preprint arXiv:2210.15353, 2022‏
22022
Explaining probabilistic models with distributional values‏
L Franceschi, M Donini, C Archambeau, M Seeger‏
ICML 2024 (Spotlight), 2024‏
12024
Graph structure learning for GCNs‏
L Franceschi, M Niepert, M Pontil, X He‏
A workshop paper at International Conference on Learning Representations (ICLR), 2019‏
12019
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20