| 2021 | IJCAI | Learning Aggregation Functions. | Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger |
| 2020 | IJCAI | Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions. | Valentijn Borghuis, Luca Angioloni, Lorenzo Brusci, Paolo Frasconi |
| 2020 | IJCAI | Marthe: Scheduling the Learning Rate Via Online Hypergradients. | Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi |
| 2018 | ICML | Bilevel Programming for Hyperparameter Optimization and Meta-Learning. | Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil |
| 2017 | ICLR | On Hyperparameter Optimization in Learning Systems. | Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil |
| 2017 | ICML | Forward and Reverse Gradient-Based Hyperparameter Optimization. | Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil |
| 2015 | IJCAI | kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract). | Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave |
| 2015 | IJCAI | Graph Invariant Kernels. | Francesco Orsini, Paolo Frasconi, Luc De Raedt |
| 2015 | ILP | kProbLog: An Algebraic Prolog for Kernel Programming. | Francesco Orsini, Paolo Frasconi, Luc De Raedt |
| 2014 | ACL | kLogNLP: Graph Kernel-based Relational Learning of Natural Language. | Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt |
| 2013 | WACV | A relational kernel-based approach to scene classification. | Laura Antanas, McElory Hoffmann, Paolo Frasconi, Tinne Tuytelaars, Luc De Raedt |
| 2012 | EMNLP | A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories. | Mathias Verbeke, Vincent Van Asch, Roser Morante, Paolo Frasconi, Walter Daelemans, Luc De Raedt |
| 2012 | SSPR | A Relational Kernel-Based Framework for Hierarchical Image Understanding. | Laura Antanas, Paolo Frasconi, Fabrizio Costa, Tinne Tuytelaars, Luc De Raedt |
| 2011 | ILP | Relational Learning for Spatial Relation Extraction from Natural Language. | Parisa Kordjamshidi, Paolo Frasconi, Martijn van Otterlo, Marie-Francine Moens, Luc De Raedt |
| 2011 | ILP | Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection. | Mathias Verbeke, Paolo Frasconi, Vincent Van Asch, Roser Morante, Walter Daelemans, Luc De Raedt |
| 2008 | ILP | Feature Discovery with Type Extension Trees. | Paolo Frasconi, Manfred Jaeger, Andrea Passerini |
| 2007 | ILP | Learning with Kernels and Logical Representations. | Paolo Frasconi |
| 2006 | AAAI | kFOIL: Learning Simple Relational Kernels. | Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi |
| 2006 | EACL | Decomposition Kernels for Natural Language Processing. | Fabrizio Costa, Sauro Menchetti, Alessio Ceroni, Andrea Passerini, Paolo Frasconi |
| 2006 | RECOMB | Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence. | Sauro Menchetti, Andrea Passerini, Paolo Frasconi, Claudia Andreini, Antonio Rosato |
| 2005 | ICML | Weighted decomposition kernels. | Sauro Menchetti, Fabrizio Costa, Paolo Frasconi |
| 2005 | IJCAI | Kernels on Prolog Ground Terms. | Andrea Passerini, Paolo Frasconi |
| 2004 | IJCNN | On the role of long-range dependencies in learning protein secondary structure. | Alessio Ceroni, Paolo Frasconi |
| 2004 | WWW | Distributed community crawling. | Fabrizio Costa, Paolo Frasconi |
| 2003 | SAC | A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins. | Alessandro Vullo, Paolo Frasconi |
| 2002 | ECAI | Enhancing First-Pass Attachment Prediction. | Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda |
| 2002 | ECAI | From Margins to Probabilities in Multiclass Learning Problems. | Andrea Passerini, Massimiliano Pontil, Paolo Frasconi |
| 2000 | ECAI | Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. | Marco Gori, Paolo Frasconi, Alessandro Sperduti |
| 2000 | KES | Learning incremental syntactic structures with recursive neural networks. | Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda |
| 1999 | ESANN | A topological transformation for hidden recursive modelsarchitecture networks. | Fabrizio Costa, Paolo Frasconi, Giovanni Soda |
| 1997 | IJCAI | On the Efficient Classification of Data Structures by Neural Networks. | Paolo Frasconi, Marco Gori, Alessandro Sperduti |
| 1994 | ICLP | Inductive Inference of Regular Grammars Using Recurrent Networks: A Critical Analysis. | Marco Gori, Paolo Frasconi, Marco Maggini, Giovanni Soda |
| 1994 | ICPR | An EM approach to grammatical inference: input/output HMMs. | Paolo Frasconi, Yoshua Bengio |
| 1992 | Interspeech | Phonetic recognition experiments with recurrent neural networks. | Piero Cosi, Paolo Frasconi, Marco Gori, N. Griggio |