Frasconi, Paolo

31 publications

TMLR 2026 Dealing with Uncertainty in Contextual Anomaly Detection Luca Bindini, Lorenzo Perini, Stefano Nistri, Jesse Davis, Paolo Frasconi

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

IJCAI 2021 Learning Aggregation Functions Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger

JMLR 2020 Learning and Interpreting Multi-Multi-Instance Learning Networks Alessandro Tibo, Manfred Jaeger, Paolo Frasconi

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

IJCAI 2020 Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions Valentijn Borghuis, Luca Angioloni, Lorenzo Brusci, Paolo Frasconi

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

ECML-PKDD 2017 A Network Architecture for Multi-Multi-Instance Learning Alessandro Tibo, Paolo Frasconi, Manfred Jaeger

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

MLJ 2017 kProbLog: An Algebraic Prolog for Machine Learning Francesco Orsini, Paolo Frasconi, Luc De Raedt

IJCAI 2015 Graph Invariant Kernels Francesco Orsini, Paolo Frasconi, Luc De Raedt

IJCAI 2015 kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract) Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave

WACV 2013 A Relational Kernel-Based Approach to Scene Classification Laura Antanas, McElory Hoffmann, Paolo Frasconi, Tinne Tuytelaars, Luc De Raedt

ECML-PKDD 2012 Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy Marco Lippi, Andrea Passerini, Marco Punta, Paolo Frasconi

MLJ 2011 Relational Information Gain Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini

ECML-PKDD 2010 Collective Traffic Forecasting Marco Lippi, Matteo Bertini, Paolo Frasconi

MLJ 2010 Fast Learning of Relational Kernels Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi

NeurIPS 2008 Predicting the Geometry of Metal Binding Sites from Protein Sequence Paolo Frasconi, Andrea Passerini

JMLR 2006 Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting Andrea Passerini, Paolo Frasconi, Luc De Raedt

AAAI 2006 kFOIL: Learning Simple Relational Kernels Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi

IJCAI 2005 Kernels on Prolog Ground Terms Andrea Passerini, Paolo Frasconi

ICML 2005 Weighted Decomposition Kernels Sauro Menchetti, Fabrizio Costa, Paolo Frasconi

NeurIPS 2002 Prediction of Protein Topologies Using Generalized IOHMMs and RNNs Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi

IJCAI 1997 On the Efficient Classification of Data Structures by Neural Networks Paolo Frasconi, Marco Gori, Alessandro Sperduti

MLJ 1996 Representation of Finite State Automata in Recurrent Radial Basis Function Networks Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda

JAIR 1995 Diffusion of Context and Credit Information in Markovian Models Yoshua Bengio, Paolo Frasconi

NeurIPS 1994 An Input Output HMM Architecture Yoshua Bengio, Paolo Frasconi

NeurIPS 1994 Diffusion of Credit in Markovian Models Yoshua Bengio, Paolo Frasconi

NeurIPS 1993 Credit Assignment Through Time: Alternatives to Backpropagation Yoshua Bengio, Paolo Frasconi

NeCo 1992 Local Feedback Multilayered Networks Paolo Frasconi, Marco Gori, Giovanni Soda