Luca Franceschi

33 papers A* 11A 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Hyperparameter Optimization in Machine Learning. Found. Trends Mach. Learn. Luca Franceschi, Michele Donini, Valerio Perrone, Aaron Klein, Cédric Archambeau, Matthias W. Seeger, Massimiliano Pontil, Paolo Frasconi
2024	J	`jnl`	Evaluating Large Language Models with fmeval. CoRR Pola Schwöbel, Luca Franceschi, Muhammad Bilal Zafar, Keerthan Vasist, Aman Malhotra, Tomer Shenhar, Pinal Tailor, Pinar Yilmaz, Michael Diamond, Michele Donini
2024	A*	`conf`	Explaining Probabilistic Models with Distributional Values. ICML Luca Franceschi, Michele Donini, Cédric Archambeau, Matthias W. Seeger
2024	J	`jnl`	Explaining Probabilistic Models with Distributional Values. CoRR Luca Franceschi, Michele Donini, Cédric Archambeau, Matthias W. Seeger
2024	J	`jnl`	Hyperparameter Optimization in Machine Learning. CoRR Luca Franceschi, Michele Donini, Valerio Perrone, Aaron Klein, Cédric Archambeau, Matthias W. Seeger, Massimiliano Pontil, Paolo Frasconi
2024	J	`jnl`	Jet Expansions of Residual Computation. CoRR Yihong Chen, Xiangxiang Xu, Yao Lu, Pontus Stenetorp, Luca Franceschi
2023	A*	`conf`	Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. AAAI Pasquale Minervini, Luca Franceschi, Mathias Niepert
2023	A*	`conf`	DAG Learning on the Permutahedron. ICLR Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae
2023	J	`jnl`	DAG Learning on the Permutahedron. CoRR Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae
2023	—	`conf`	Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography. TML4H Luca Franceschi, Cemre Zor, Muhammad Bilal Zafar, Gianluca Detommaso, Cédric Archambeau, Tamas Madl, Michele Donini, Matthias W. Seeger
2023	A*	`conf`	Hands-on Tutorial: "Explanations in AI: Methods, Stakeholders and Pitfalls". KDD Mia C. Mayer, Muhammad Bilal Zafar, Luca Franceschi, Huzefa Rangwala
2022	J	`jnl`	Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. CoRR Pasquale Minervini, Luca Franceschi, Mathias Niepert
2022	J	`jnl`	Learning Discrete Directed Acyclic Graphs via Backpropagation. CoRR Andrew J. Wren, Pasquale Minervini, Luca Franceschi, Valentina Zantedeschi
2022	A*	`conf`	ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. NeurIPS Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022	J	`jnl`	ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. CoRR Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2021	—	`—`	A unified framework for gradient-based hyperparameter optimization and meta-learning. Luca Franceschi
2021	A*	`conf`	Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions. NeurIPS Mathias Niepert, Pasquale Minervini, Luca Franceschi
2021	J	`jnl`	Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions. CoRR Mathias Niepert, Pasquale Minervini, Luca Franceschi
2020	A*	`conf`	Marthe: Scheduling the Learning Rate Via Online Hypergradients. IJCAI Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi
2020	A*	`conf`	On the Iteration Complexity of Hypergradient Computation. ICML Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo
2020	J	`jnl`	On the Iteration Complexity of Hypergradient Computation. CoRR Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo
2019	J	`jnl`	Fast and Continuous Foothold Adaptation for Dynamic Locomotion Through CNNs. IEEE Robotics Autom. Lett. Octavio Antonio Villarreal-Magaña, Victor Barasuol, Marco Camurri, Luca Franceschi, Michele Focchi, Massimiliano Pontil, Darwin G. Caldwell, Claudio Semini
2019	A*	`conf`	Learning Discrete Structures for Graph Neural Networks. ICML Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He
2019	J	`jnl`	Learning Discrete Structures for Graph Neural Networks. CoRR Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He
2019	J	`jnl`	Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm. CoRR Michele Donini, Luca Franceschi, Massimiliano Pontil, Orchid Majumder, Paolo Frasconi
2018	A*	`conf`	Bilevel Programming for Hyperparameter Optimization and Meta-Learning. ICML Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil
2018	J	`jnl`	Bilevel Programming for Hyperparameter Optimization and Meta-Learning. CoRR Luca Franceschi, Paolo Frasconi, Saverio Salzo, Massimiliano Pontil
2018	J	`jnl`	Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning. CoRR Luca Franceschi, Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, Paolo Frasconi
2018	J	`jnl`	Fast and Continuous Foothold Adaptation for Dynamic Locomotion through Convolutional Neural Networks. CoRR Octavio Antonio Villarreal-Magaña, Victor Barasuol, Marco Camurri, Michele Focchi, Luca Franceschi, Massimiliano Pontil, Darwin G. Caldwell, Claudio Semini
2017	J	`jnl`	A Bridge Between Hyperparameter Optimization and Larning-to-learn. CoRR Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil
2017	A	`conf`	A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion. INTERSPEECH Leonardo Badino, Luca Franceschi, Raman Arora, Michele Donini, Massimiliano Pontil
2017	A*	`conf`	Forward and Reverse Gradient-Based Hyperparameter Optimization. ICML Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil
2017	—	`conf`	On Hyperparameter Optimization in Learning Systems. ICLR (Workshop) Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil