Massimiliano Patacchiola

According to our database, Massimiliano Patacchiola authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Transformer Neural Autoregressive Flows.

Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E. Turner

CoRR, 2024

2023

Few-Shot Learning With Class Imbalance.

Mateusz Ochal, Massimiliano Patacchiola, Jose Vazquez, Amos J. Storkey, Sen Wang

IEEE Trans. Artif. Intell., October, 2023

FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification.

Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation.

Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

A Developmental Cognitive Architecture for Trust and Theory of Mind in Humanoid Robots.

Massimiliano Patacchiola, Angelo Cangelosi

IEEE Trans. Cybern., 2022

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification.

Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

How Sensitive are Meta-Learners to Dataset Imbalance?

Mateusz Ochal, Massimiliano Patacchiola, Amos J. Storkey, Jose Vazquez, Sen Wang

CoRR, 2021

Non-Gaussian Gaussian Processes for Few-Shot Regression.

Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Memory Efficient Meta-Learning with Large Images.

John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization.

Riccardo Polvara, Massimiliano Patacchiola, Marc Hanheide, Gerhard Neumann

Robotics, 2020

Y-Autoencoders: Disentangling latent representations via sequential encoding.

Massimiliano Patacchiola, Patrick Fox-Roberts, Edward Rosten

Pattern Recognit. Lett., 2020

Generalisation of Anthropomorphic Stereotype.

Debora Zanatto, Massimiliano Patacchiola, Angelo Cangelosi, Jeremy Goslin

Int. J. Soc. Robotics, 2020

Defining Benchmarks for Continual Few-Shot Learning.

Antreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal, Amos J. Storkey

CoRR, 2020

Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels.

Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Supervised Relational Reasoning for Representation Learning.

Massimiliano Patacchiola, Amos J. Storkey

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Do Humans Imitate Robots?: An Investigation of Strategic Social Learning in Human-Robot Interaction.

Debora Zanatto, Massimiliano Patacchiola, Jeremy Goslin, Serge Thill, Angelo Cangelosi

Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

2019

Deep Kernel Transfer in Gaussian Processes for Few-shot Learning.

Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Amos J. Storkey

CoRR, 2019

Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction.

Mohammad Thabet, Massimiliano Patacchiola, Angelo Cangelosi

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Would a Robot Trust You? Developmental Robotics Model of Trust and Theory of Mind.

Samuele Vinanzi, Massimiliano Patacchiola, Antonio Chella, Angelo Cangelosi

Proceedings of the 6th International Workshop on Artificial Intelligence and Cognition, 2018

2017

Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods.

Massimiliano Patacchiola, Angelo Cangelosi

Pattern Recognit., 2017

Autonomous Quadrotor Landing using Deep Reinforcement Learning.

Riccardo Polvara, Massimiliano Patacchiola, Sanjay K. Sharma, Jian Wan, Andrew Manning, Robert Sutton, Angelo Cangelosi

CoRR, 2017

Emotion recognition in the wild using deep neural networks and Bayesian classifiers.

Luca Surace, Massimiliano Patacchiola, Elena Battini Sönmez, William Spataro, Angelo Cangelosi

Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017

2016

A developmental Bayesian model of trust in artificial cognitive systems.

Massimiliano Patacchiola, Angelo Cangelosi

Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

Priming Anthropomorphism: Can the credibility of humanlike robots be transferred to non-humanlike robots?

Debora Zanatto, Massimiliano Patacchiola, Jeremy Goslin, Angelo Cangelosi

Proceedings of the Eleventh ACM/IEEE International Conference on Human Robot Interation, 2016