Massimiliano Patacchiola
Massimiliano Patacchiola
University of Cambridge, Postdoctoral Researcher
Verified email at - Homepage
Cited by
Cited by
Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods
M Patacchiola, A Cangelosi
Pattern Recognition, 2017
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
M Patacchiola, J Turner, EJ Crowley, M O'Boyle, A Storkey
Advances in Neural Information Processing Systems, 2020
Toward End-To-End Control for UAV Autonomous Landing Via Deep Reinforcement Learning
R Polvara, M Patacchiola, S Sharma, J Wan, A Manning, S Robert, ...
The 2018 International Conference on Unmanned Aircraft Systems, 2018
Would a Robot Trust You? Developmental Robotics Model of Trust and Theory of Mind
S Vinanzi, M Patacchiola, A Chella, A Cangelosi
Royal Society of London. Philosophical Transactions B. Biological Sciences …, 2019
Autonomous Quadrotor Landing using Deep Reinforcement Learning
R Polvara, M Patacchiola, S Sharma, J Wan, A Manning, R Sutton, ..., 2017
Self-Supervised Relational Reasoning for Representation Learning
M Patacchiola, A Storkey
Advances in Neural Information Processing Systems, 2020
Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers
L Surace, M Patacchiola, EB Sonmez, W Spataro, A Cangelosi
The Fifth Emotion Recognition in the Wild (EmotiW) Challenge, 2017
Defining Benchmarks for Continual Few-Shot Learning
A Antoniou, M Patacchiola, M Ochal, A Storkey
NeurIPS MetaLearn 2020: Workshop on Meta-Learning, 2020
Priming anthropomorphism: Can the credibility of humanlike robots be transferred to non-humanlike robots?
D Zanatto, M Patacchiola, J Goslin, A Cangelosi
2016 11th ACM/IEEE international conference on human-robot interaction (HRI …, 2016
Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization
R Polvara, M Patacchiola, M Hanheide, G Neumann
Robotics 9 (1), 2020
Few-Shot Learning with Class Imbalance
M Ochal, M Patacchiola, A Storkey, J Vazquez, S Wang, 2021
A Developmental Cognitive Architecture for Trust and Theory of Mind in Humanoid Robots
M Patacchiola, A Cangelosi
IEEE Transactions on Cybernetics, 2020
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
A Shysheya, J Bronskill, M Patacchiola, S Nowozin, RE Turner
International Conference on Learning Representations, 2023
Memory Efficient Meta-Learning with Large Images
J Bronskill, D Massiceti, M Patacchiola, K Hofmann, S Nowozin, ...
Advances in Neural Information Processing Systems 34, 2021
Generalisation of Anthropomorphic Stereotype
D Zanatto, M Patacchiola, A Cangelosi, J Goslin
International Journal of Social Robotics, 2019
Y-Autoencoders: disentangling latent representations via sequential-encoding
M Patacchiola, P Fox-Roberts, E Rosten
Pattern Recognition Letters 140, 59-65, 2020
Do Humans Imitate Robots? An Investigation of Strategic Social Learning in Human-Robot Interaction
D Zanatto, M Patacchiola, J Goslin, S Thill, A Cangelosi
In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020
A developmental bayesian model of trust in artificial cognitive systems
M Patacchiola, A Cangelosi
2016 Joint IEEE International Conference on Development and Learning and …, 2016
Investigating cooperation with robotic peers
D Zanatto, M Patacchiola, J Goslin, A Cangelosi
PloS one 14 (11), e0225028, 2019
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction
M Thabet, M Patacchiola, A Cangelosi
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
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