(*) = open challenge contribution

DAY 1, 29 November 2021

Session 1

9.10- 9.30 Attractor dynamics and spatiotemporal patterns of neural activity

Alessandro E.P. Villa

9.30 - 9.50 Continual Learning with Deep Architectures (*)

Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu

9.50 - 10.10 Is ”privacy” the next big thing in TinyML?

Massimo Pavan, Manuel Roveri

10.10 - 10.30 Neuromorphic computing by spatial light modulation in photonic systems (*)

Davide Pierangeli, Giulia Marcucci, Claudio Conti

10.30 - 10.50 Machine Learning Techniques for Road Health Monitoring

Lucio Menghini, Francesco Bella, Giuseppe Sansonetti, Valerio Gagliardi

Session 2

11.10 - 11.30 Learning Graph Cellular Automata

Daniele Grattarola, Lorenzo Livi, Cesare Alippi

11.30 - 11.50 The expressive power of Graph Neural Networks: a unifying point of view

Giuseppe Alessio D’Inverno, Monica Bianchini, Maria Lucia Sampoli, and Franco Scarselli

11.50- 12.10 Filling the G_ap_s: Multivariate time series imputation by Graph Neural Networks

Andrea Cini, Ivan Marisca, Cesare Alippi

12.10 - 12.30 A rigorous evaluation of embeddings-based vs. feature-based machine learning models for protein antigenicity prediction

Marco Podda, Alina Sirbu, Corrado Priami, Alessandro Brozzi

12.30 - 12.50 A bag of words approach for genomic sequence analysis: classification of Neisseria meningitidis in carriage and invasive strains

Simone Bonechi, Margherita Bodini, Alessandro Muzzi, Alina Sirbu, Corrado Priami

Session 3

14.00 - 14.20 Learning without Training Set

Marco Gori

14.20 - 14.40 Generalisation and failure in artificial neural networks: looking at their inner behaviour during training

Giuliano Armano, Andrea Manconi, Osvaldo Marullo

14.40 - 15.00 Newron: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks

Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, and Fabrizio Silvestri

15.00 - 15.20 Beyond Extracting Explanations

Stefano Teso, Andrea Passerini, Andrea Bontempelli, Fausto Giunchiglia, Teodora Popordanoska, Mohit Kumar, Kristian Kersting, Wolfgang Stammer, Patrick Schramowski, Xiaoting Shao

15.20 - 15.40 Tractable languages for Statistical Relational AI

Fabrizio Riguzzi, Evelina Lamma, Elena Bellodi, Riccardo Zese, Marco Alberti, Arnaud Nguembang Fadja

15.40 - 16.00 EM-Based Causal Machine Learning

Alessandro Antonucci, Rafael Cabañas, Marco Zaffalon

Session 4

16.10 - 16.30 Beyond English: the Case for Initiatives around Massive Models in Low(er)-resource Languages (*)

Iacopo Poli, Julien Launay, Alessandro Cappelli, Amélie Chatelain, Daniel Hesslow, Baptiste Pannier, E.L. Tommasone

16.30 - 16.50 Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio

Francesco Orabona, Kwang-Sung Jun

16.50 - 17.10 Adversarial EXEmples: Functionality-preserving Optimization of Adversarial Windows Malware

Luca Demetrio, Battista Biggio, Giovanni Lagorio, Alessandro Armando, Fabio Roli

17.10 - 17.30 Towards Debugging and Improving Adversarial Robustness Evaluations

Maura Pintor, Luca Demetrio, Angelo Sotgiu, Giovanni Manca, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli

17.30 - 17.50 Synthetic Acoustic Image Generation for Audio-Visual Localization

Valentina Sanguineti, Pietro Morerio, Alessio Del Bue, Vittorio Murino

DAY 2, 30 November 2021

Session 5

9.10 - 9.30 Autonomous Development: Concepts and Challenges (*)

Marco Lippi, Stefano Mariani, Matteo Martinelli, and Franco Zambonelli

9.30 - 9.50 Combining machine learning and mathematical games for the automated analysis of the origin of movement

Giorgio Gnecco, Marcello Sanguineti, Antonio Camurri, Benoit Bardy, Denis Mottet

9.50 - 10.10 On automatic dispersion curve identification for metamaterials

Andrea Bacigalupo, Giorgio Gnecco, Federico Nutarelli, Daniela Selvi

10.10 - 10.30 Curious Explorer: a Provable Exploration Strategy in Policy Learning

Marco Miani, Maurizio Parton, Marco Romito

10.30 - 10.50 Machine Learning for Smart Tourism

Elena Bellodi, Evelina Lamma, Riccardo Zese, Fabrizio Riguzzi, Francesco Bertasi

Session 6

11.00 - 11.20 Bias and Fairness in Collaborative Filtering and Information Sharing (*)

Marco Minici, Luciano Caroprese, Ettore Ritacco, Giuseppe Manco

11.20 - 11.40 Time series forecasting with Gaussian Processes needs priors

Giorgio Corani, Alessio Benavoli, and Marco Zaffalon

11.40 - 12.00 GAN-BERT: Semi-supervised Learning through Generative Adversarial Learning in Transformer-based Architectures

Danilo Croce, Roberto Basili

12.00 - 12.20 An approach to image-based recommendation based on deep learning

Luigi Portinale, Andrea Santomauro, Carlo Zoccola