Priming Anthropomorphism: Can the credibility of humanlike robots be transferred to non-humanlike robots? - Debora Zanatto; Massimiliano Patacchiola; Jeremy Goslin; Angelo Cangelosi (HRI, 2016)

A developmental Bayesian model of trust in artificial cognitive systems. - Massimiliano Patacchiola; Angelo Cangelosi (ICDL-EPIROB, 2016)

Emotion recognition in the wild using deep neural networks and Bayesian classifiers. - Luca Surace; Massimiliano Patacchiola; Elena Battini Sönmez; William Spataro; Angelo Cangelosi (ICMI, 2017)

Autonomous Quadrotor Landing using Deep Reinforcement Learning. - Riccardo Polvara; Massimiliano Patacchiola; Sanjay K. Sharma; Jian Wan 002; Andrew Manning; Robert Sutton; Angelo Cangelosi (CoRR, 2017)

Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods. - Massimiliano Patacchiola; Angelo Cangelosi (Pattern Recognit., 2017)

Would a Robot Trust You? Developmental Robotics Model of Trust and Theory of Mind. - Samuele Vinanzi; Massimiliano Patacchiola; Antonio Chella; Angelo Cangelosi (AIC, 2018)

Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction. - Mohammad Thabet; Massimiliano Patacchiola; Angelo Cangelosi (IROS, 2019)

Deep Kernel Transfer in Gaussian Processes for Few-shot Learning. - Massimiliano Patacchiola; Jack Turner; Elliot J. Crowley; Amos J. Storkey (CoRR, 2019)

Do Humans Imitate Robots?: An Investigation of Strategic Social Learning in Human-Robot Interaction. - Debora Zanatto; Massimiliano Patacchiola; Jeremy Goslin; Serge Thill; Angelo Cangelosi (HRI, 2020)

Self-Supervised Relational Reasoning for Representation Learning. - Massimiliano Patacchiola; Amos J. Storkey (NeurIPS, 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 (NeurIPS, 2020)

Defining Benchmarks for Continual Few-Shot Learning. - Antreas Antoniou; Massimiliano Patacchiola; Mateusz Ochal; Amos J. Storkey (CoRR, 2020)

Generalisation of Anthropomorphic Stereotype. - Debora Zanatto; Massimiliano Patacchiola; Angelo Cangelosi; Jeremy Goslin (Int. J. Soc. Robotics, 2020)

Y-Autoencoders: Disentangling latent representations via sequential encoding. - Massimiliano Patacchiola; Patrick Fox-Roberts; Edward Rosten (Pattern Recognit. Lett., 2020)

Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization. - Riccardo Polvara; Massimiliano Patacchiola; Marc Hanheide; Gerhard Neumann (Robotics, 2020)

Memory Efficient Meta-Learning with Large Images. - John Bronskill; Daniela Massiceti; Massimiliano Patacchiola; Katja Hofmann; Sebastian Nowozin; Richard E. Turner (NeurIPS, 2021)

Non-Gaussian Gaussian Processes for Few-Shot Regression. - Marcin Sendera; Jacek Tabor; Aleksandra Nowak 001; Andrzej Bedychaj; Massimiliano Patacchiola; Tomasz Trzcinski; Przemyslaw Spurek; Maciej Zieba (NeurIPS, 2021)

How Sensitive are Meta-Learners to Dataset Imbalance? - Mateusz Ochal; Massimiliano Patacchiola; Amos J. Storkey; Jose Vazquez; Sen Wang 002 (CoRR, 2021)

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. - Massimiliano Patacchiola; John Bronskill; Aliaksandra Shysheya; Katja Hofmann; Sebastian Nowozin; Richard E. Turner (NeurIPS, 2022)

A Developmental Cognitive Architecture for Trust and Theory of Mind in Humanoid Robots. - Massimiliano Patacchiola; Angelo Cangelosi (IEEE Trans. Cybern., 2022)

Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. - Massimiliano Patacchiola; Mingfei Sun 001; Katja Hofmann; Richard E. Turner (CoLLAs, 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 (ICLR, 2023)

Few-Shot Learning With Class Imbalance. - Mateusz Ochal; Massimiliano Patacchiola; Jose Vazquez; Amos J. Storkey; Sen Wang 002 (IEEE Trans. Artif. Intell., 2023)

Transformer Neural Autoregressive Flows. - Massimiliano Patacchiola; Aliaksandra Shysheya; Katja Hofmann; Richard E. Turner (CoRR, 2024)

EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits. - Mateusz Ochal; Massimiliano Patacchiola; Malik Boudiaf; Sen Wang 002 (CoRR, 2024)