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ORCIDLuca Franceschi 0001
Person information
- affiliation: Istituto Italiano di Tecnologia, Genoa, Italy
- affiliation: University College London, UK
Other persons with the same name
- Luca Franceschi 0002
![[0000-0002-2441-2291]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2441-2291")
— University of Pisa, Italy
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2020 – today
- 2024
[c14]Luca Franceschi, Michele Donini, Cédric Archambeau, Matthias W. Seeger:
Explaining Probabilistic Models with Distributional Values. ICML 2024- [i14]Luca Franceschi, Michele Donini, Cédric Archambeau, Matthias W. Seeger:
Explaining Probabilistic Models with Distributional Values. CoRR abs/2402.09947 (2024) - [i13]Pola Schwöbel, Luca Franceschi, Muhammad Bilal Zafar, Keerthan Vasist, Aman Malhotra, Tomer Shenhar, Pinal Tailor, Pinar Yilmaz, Michael Diamond, Michele Donini:
Evaluating Large Language Models with fmeval. CoRR abs/2407.12872 (2024) - 2023
- [c13]Pasquale Minervini, Luca Franceschi, Mathias Niepert:
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. AAAI 2023: 9200-9208 - [c12]Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae:
DAG Learning on the Permutahedron. ICLR 2023 - [c11]Mia C. Mayer, Muhammad Bilal Zafar, Luca Franceschi, Huzefa Rangwala:
Hands-on Tutorial: "Explanations in AI: Methods, Stakeholders and Pitfalls". KDD 2023: 5783-5785 - [c10]Luca Franceschi, Cemre Zor, Muhammad Bilal Zafar, Gianluca Detommaso, Cédric Archambeau, Tamas Madl, Michele Donini, Matthias W. Seeger:
Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography. TML4H 2023: 11-24 - [i12]Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae:
DAG Learning on the Permutahedron. CoRR abs/2301.11898 (2023) - 2022
- [c9]Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel:
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. NeurIPS 2022 - [i11]Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel:
ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. CoRR abs/2207.09980 (2022) - [i10]Pasquale Minervini, Luca Franceschi, Mathias Niepert:
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. CoRR abs/2209.04862 (2022) - [i9]Andrew J. Wren, Pasquale Minervini, Luca Franceschi, Valentina Zantedeschi:
Learning Discrete Directed Acyclic Graphs via Backpropagation. CoRR abs/2210.15353 (2022) - 2021
- [b1]Luca Franceschi:
A unified framework for gradient-based hyperparameter optimization and meta-learning. University College London, UK, 2021 - [c8]Mathias Niepert, Pasquale Minervini, Luca Franceschi:
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions. NeurIPS 2021: 14567-14579 - [i8]Mathias Niepert, Pasquale Minervini, Luca Franceschi:
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions. CoRR abs/2106.01798 (2021) - 2020
- [c7]Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo:
On the Iteration Complexity of Hypergradient Computation. ICML 2020: 3748-3758 - [c6]Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi:
Marthe: Scheduling the Learning Rate Via Online Hypergradients. IJCAI 2020: 2119-2125 - [i7]Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo:
On the Iteration Complexity of Hypergradient Computation. CoRR abs/2006.16218 (2020)
2010 – 2019
- 2019
- [j1]Octavio Antonio Villarreal-Magaña, Victor Barasuol, Marco Camurri, Luca Franceschi, Michele Focchi, Massimiliano Pontil, Darwin G. Caldwell, Claudio Semini:
Fast and Continuous Foothold Adaptation for Dynamic Locomotion Through CNNs. IEEE Robotics Autom. Lett. 4(2): 2140-2147 (2019) - [c5]Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He:
Learning Discrete Structures for Graph Neural Networks. ICML 2019: 1972-1982 - [i6]Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He:
Learning Discrete Structures for Graph Neural Networks. CoRR abs/1903.11960 (2019) - [i5]Michele Donini, Luca Franceschi, Massimiliano Pontil, Orchid Majumder, Paolo Frasconi:
Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm. CoRR abs/1910.08525 (2019) - 2018
- [c4]Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil:
Bilevel Programming for Hyperparameter Optimization and Meta-Learning. ICML 2018: 1563-1572 - [i4]Luca Franceschi, Paolo Frasconi, Saverio Salzo, Massimiliano Pontil:
Bilevel Programming for Hyperparameter Optimization and Meta-Learning. CoRR abs/1806.04910 (2018) - [i3]Luca Franceschi, Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, Paolo Frasconi:
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning. CoRR abs/1806.04941 (2018) - [i2]Octavio Antonio Villarreal-Magaña, Victor Barasuol, Marco Camurri, Michele Focchi, Luca Franceschi, Massimiliano Pontil, Darwin G. Caldwell, Claudio Semini:
Fast and Continuous Foothold Adaptation for Dynamic Locomotion through Convolutional Neural Networks. CoRR abs/1809.09759 (2018) - 2017
- [c3]Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil:
On Hyperparameter Optimization in Learning Systems. ICLR (Workshop) 2017 - [c2]Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil:
Forward and Reverse Gradient-Based Hyperparameter Optimization. ICML 2017: 1165-1173 - [c1]Leonardo Badino, Luca Franceschi, Raman Arora, Michele Donini, Massimiliano Pontil:
A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion. INTERSPEECH 2017: 984-988 - [i1]Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil:
A Bridge Between Hyperparameter Optimization and Larning-to-learn. CoRR abs/1712.06283 (2017)
Coauthor Index
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