Franceschi, Luca

16 publications

FnTML 2025 Hyperparameter Optimization in Machine Learning Luca Franceschi, Michele Donini, Valerio Perrone, Aaron Klein, Cédric Archambeau, Matthias W. Seeger, Massimiliano Pontil, Paolo Frasconi

ICML 2024 Explaining Probabilistic Models with Distributional Values Luca Franceschi, Michele Donini, Cedric Archambeau, Matthias Seeger

AAAI 2023 Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini, Luca Franceschi, Mathias Niepert

ICLR 2023 DAG Learning on the Permutahedron Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt Kusner, Vlad Niculae

ICLRW 2023 Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography Luca Franceschi, Cemre Zor, Muhammad Bilal Zafar, Gianluca Detommaso, Cedric Archambeau, Tamas Madl, Michele Donini, Matthias Seeger

ICLRW 2022 DAG Learning on the Permutahedron Valentina Zantedeschi, Jean Kaddour, Luca Franceschi, Matt Kusner, Vlad Niculae

NeurIPSW 2022 Learning Discrete Directed Acyclic Graphs via Backpropagation Andrew J. Wren, Pasquale Minervini, Luca Franceschi, Valentina Zantedeschi

NeurIPSW 2022 Learning Discrete Directed Acyclic Graphs via Backpropagation Andrew J. Wren, Pasquale Minervini, Luca Franceschi, Valentina Zantedeschi

NeurIPS 2022 ReFactor GNNs: Revisiting Factorisation-Based Models from a Message-Passing Perspective Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel

NeurIPS 2021 Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert, Pasquale Minervini, Luca Franceschi

IJCAI 2020 Marthe: Scheduling the Learning Rate via Online Hypergradients Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi

ICML 2020 On the Iteration Complexity of Hypergradient Computation Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo

ICML 2019 Learning Discrete Structures for Graph Neural Networks Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He

ICML 2018 Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil

ICML 2017 Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil

ICLR 2017 On Hyperparameter Optimization in Learning Systems Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil