Alberto Testolin

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 53

Top Topics

Reinforcement Learning

Unified Framework

Top Venues

Frontiers Comput. Neurosci.

Publications

Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies. LREC/COLING (2024)
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
A Neural Rewriting System to Solve Algorithmic Problems. CoRR (2024)
Simone De Renzis, Dennis Dosso, Alberto Testolin
Exploiting Large Language Models to Train Automatic Detectors of Sensitive Data. IRCDL (2024)
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models. CoRR (2024)
Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
Calibrating Deep Learning Classifiers for Patient-Independent Electroencephalogram Seizure Forecasting. Sensors 24 (9) (2024)
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies. CoRR (2024)
Alberto Testolin, Kuinan Hou, Marco Zorzi
Large-scale Generative AI Models Lack Visual Number Sense. CoRR (2024)
Sina Shafiezadeh, Marco Pozza, Alberto Testolin
A Comparison of Recurrent and Convolutional Deep Learning Architectures for EEG Seizure Forecasting. BIOSTEC (1) (2024)
Lorenzo Tausani, Alberto Testolin, Marco Zorzi
Investigating the Generative Dynamics of Energy-Based Neural Networks. BI (2023)
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
A Hybrid System for Systematic Generalization in Simple Arithmetic Problems. CoRR (2023)
Burla Nur Korkmaz, Roee Diamant, Gil Danino, Alberto Testolin
Automated detection of dolphin whistles with convolutional networks and transfer learning. Frontiers Artif. Intell. 6 (2023)
Flavio Petruzzellis, Ling Xuan Chen, Alberto Testolin
Learning to solve arithmetic problems with a virtual abacus. NLDL (2023)
Matteo Zambra, Alberto Testolin, Marco Zorzi
A Developmental Approach for Training Deep Belief Networks. Cogn. Comput. 15 (1) (2023)
Lorenzo Tausani, Alberto Testolin, Marco Zorzi
Investigating the generative dynamics of energy-based neural networks. CoRR (2023)
Stefano Chioccarello, Arthur Sluÿters, Alberto Testolin, Jean Vanderdonckt, Sébastien Lambot
FORTE: Few Samples for Recognizing Hand Gestures with a Smartphone-attached Radar. Proc. ACM Hum. Comput. Interact. 7 (EICS) (2023)
Flavio Petruzzellis, Ling Xuan Chen, Alberto Testolin
Learning to solve arithmetic problems with a virtual abacus. CoRR (2023)
Silvia Poletti, Alberto Testolin, Sebastian Tschiatschek
Learning Constraints From Human Stop-Feedback in Reinforcement Learning. AAMAS (2023)
Hadar Shalev, Liav Nagar, Avi Abu, Alberto Testolin, Roee Diamant
AUV navigation using cues in the sand ripples. Auton. Robots 47 (1) (2023)
Alberto Testolin
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models. CoRR (2023)
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
A Hybrid System for Systematic Generalization in Simple Arithmetic Problems. NeSy (2023)
Delfina Irarte, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders. BI (2022)
Matteo Zambra, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
A developmental approach for training deep belief networks. CoRR (2022)
Alberto Testolin, Dror Kipnis, Roee Diamant
Detecting Submerged Objects Using Active Acoustics and Deep Neural Networks: A Test Case for Pelagic Fish. IEEE Trans. Mob. Comput. 21 (8) (2022)
Burla Nur Korkmaz, Roee Diamant, Gil Danino, Alberto Testolin
Automated Detection of Dolphin Whistles with Convolutional Networks and Transfer Learning. CoRR (2022)
Silvester Sabathiel, Trygve Solstad, Alberto Testolin, Flavio Petruzzellis
Self-Communicating Deep Reinforcement Learning Agents Develop External Number Representations. NLDL (2022)
Samuel Cognolato, Alberto Testolin
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation. CoRR (2022)
Samuel Cognolato, Alberto Testolin
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation. IJCNN (2022)
Tommaso Boccato, Alberto Testolin, Marco Zorzi
Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization. Entropy 23 (7) (2021)
Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients. Brain Informatics 8 (1) (2021)
Federico Venturini, Federico Mason, Francesco Pase, Federico Chiariotti, Alberto Testolin, Andrea Zanella, Michele Zorzi
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control. IEEE Trans. Cogn. Commun. Netw. 7 (3) (2021)
Federico Venturini, Federico Mason, Francesco Pase, Federico Chiariotti, Alberto Testolin, Andrea Zanella, Michele Zorzi
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control. CoRR (2021)
Marco Zorzi, Michele De Filippo De Grazia, Elvio Blini, Alberto Testolin
Assessment of Machine Learning Pipelines for Prediction of Behavioral Deficits from Brain Disconnectomes. BI (2021)
Mattia Lecci, Paolo Testolina, Mattia Rebato, Alberto Testolin, Michele Zorzi
Machine Learning-aided Design of Thinned Antenna Arrays for Optimized Network Level Performance. CoRR (2020)
Alberto Cenzato, Alberto Testolin, Marco Zorzi
Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models. LOD (1) (2020)
Federico Venturini, Federico Mason, Francesco Pase, Federico Chiariotti, Alberto Testolin, Andrea Zanella, Michele Zorzi
Distributed reinforcement learning for flexible UAV swarm control with transfer learning capabilities. DroNet@MobiSys (2020)
Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data. BI (2020)
Alberto Testolin, Roee Diamant
Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets. Sensors 20 (10) (2020)
Matteo Zambra, Amos Maritan, Alberto Testolin
Emergence of Network Motifs in Deep Neural Networks. Entropy 22 (2) (2020)
Alberto Testolin, Serena Dolfi, Mathijs Rochus, Marco Zorzi
Perception of visual numerosity in humans and machines. CoRR (2019)
Matteo Zambra, Alberto Testolin, Amos Maritan
Emergence of Network Motifs in Deep Neural Networks. CoRR (2019)
Alberto Cenzato, Alberto Testolin, Marco Zorzi
On the difficulty of learning and predicting the long-term dynamics of bouncing objects. CoRR (2019)
Paolo Testolina, Mattia Lecci, Mattia Rebato, Alberto Testolin, Jonathan Gambini, Roberto Flamini, Christian Mazzucco, Michele Zorzi
Enabling Simulation-Based Optimization through Machine Learning: A Case Study on Antenna Design. GLOBECOM (2019)
Andrea Zanetti, Alberto Testolin, Marco Zorzi, Pawel Wawrzynski
Numerosity Representation in InfoGAN: An Empirical Study. IWANN (2) (2019)
Paolo Testolina, Mattia Lecci, Mattia Rebato, Alberto Testolin, Jonathan Gambini, Roberto Flamini, Christian Mazzucco, Michele Zorzi
Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design. CoRR (2019)
Alberto Testolin, Roee Diamant
Underwater Acoustic Detection and Localization with a Convolutional Denoising Autoencoder. CAMSAP (2019)
Alberto Testolin, Michele Piccolini, Samir Suweis
Deep learning systems as complex networks. CoRR (2018)
Michele De Filippo De Grazia, Daniel Zucchetto, Alberto Testolin, Andrea Zanella, Marco Zorzi, Michele Zorzi
QoE Multi-Stage Machine Learning for Dynamic Video Streaming. IEEE Trans. Cogn. Commun. Netw. 4 (1) (2018)
Roee Diamant, Filippo Campagnaro, Michele De Filippo De Grazia, Paolo Casari, Alberto Testolin, Violeta Sanjuan Calzado, Michele Zorzi
On the Relationship Between the Underwater Acoustic and Optical Channels. IEEE Trans. Wirel. Commun. 16 (12) (2017)
Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding. Frontiers Comput. Neurosci. 11 (2017)
Zahra Sadeghi, Alberto Testolin
Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning. Cogn. Process. 18 (3) (2017)
Alberto Testolin, Ivilin Stoianov, Alessandro Sperduti, Marco Zorzi
Learning Orthographic Structure With Sequential Generative Neural Networks. Cogn. Sci. 40 (3) (2016)
Michele Zorzi, Andrea Zanella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
COBANETS: A new paradigm for cognitive communications systems. ICNC (2016)
Alberto Testolin, Marco Zorzi
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions. Frontiers Comput. Neurosci. 10 (2016)
Luca Pasa, Alberto Testolin, Alessandro Sperduti
Neural Networks for Sequential Data: a Pre-training Approach based on Hidden Markov Models. Neurocomputing 169 (2015)
Michele Zorzi, Andrea Zanella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi
Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence. IEEE Access 3 (2015)
Alberto Testolin, Marco Zanforlin, Michele De Filippo De Grazia, Daniele Munaretto, Andrea Zanella, Marco Zorzi, Michele Zorzi
A machine learning approach to QoE-based video admission control and resource allocation in wireless systems. Med-Hoc-Net (2014)
Leonardo Badia, Daniele Munaretto, Alberto Testolin, Andrea Zanella, Marco Zorzi, Michele Zorzi
Cognition-based networks: Applying cognitive science to multimedia wireless networking. WoWMoM (2014)
Luca Pasa, Alberto Testolin, Alessandro Sperduti
A HMM-based pre-training approach for sequential data. ESANN (2014)
Alberto Testolin, Alessandro Sperduti, Ivilin Stoianov, Marco Zorzi
Assessment of sequential Boltmann machines on a lexical processing task. ESANN (2012)