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ORCIDMassimiliano Patacchiola
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2020 – today
- 2024
[i16]Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E. Turner:
Transformer Neural Autoregressive Flows. CoRR abs/2401.01855 (2024)- [i15]Mateusz Ochal, Massimiliano Patacchiola, Malik Boudiaf, Sen Wang:
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits. CoRR abs/2408.02052 (2024) - 2023
- [j6]Mateusz Ochal
, Massimiliano Patacchiola, Jose Vazquez, Amos J. Storkey, Sen Wang:
Few-Shot Learning With Class Imbalance. IEEE Trans. Artif. Intell. 4(5): 1348-1358 (2023) - [c13]Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner:
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoLLAs 2023: 878-908 - [c12]Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner:
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. ICLR 2023 - [i14]Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner:
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoRR abs/2306.13554 (2023) - 2022
- [j5]Massimiliano Patacchiola, Angelo Cangelosi:
A Developmental Cognitive Architecture for Trust and Theory of Mind in Humanoid Robots. IEEE Trans. Cybern. 52(3): 1947-1959 (2022) - [c11]Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner:
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. NeurIPS 2022 - [i13]Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E. Turner:
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification. CoRR abs/2206.08671 (2022) - [i12]Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E. Turner:
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification. CoRR abs/2206.09843 (2022) - 2021
- [c10]Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba:
Non-Gaussian Gaussian Processes for Few-Shot Regression. NeurIPS 2021: 10285-10298 - [c9]John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner:
Memory Efficient Meta-Learning with Large Images. NeurIPS 2021: 24327-24339 - [i11]Mateusz Ochal, Massimiliano Patacchiola, Amos J. Storkey, Jose Vazquez, Sen Wang:
Few-Shot Learning with Class Imbalance. CoRR abs/2101.02523 (2021) - [i10]Mateusz Ochal, Massimiliano Patacchiola, Amos J. Storkey, Jose Vazquez, Sen Wang:
How Sensitive are Meta-Learners to Dataset Imbalance? CoRR abs/2104.05344 (2021) - [i9]John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner:
Memory Efficient Meta-Learning with Large Images. CoRR abs/2107.01105 (2021) - [i8]Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba:
Non-Gaussian Gaussian Processes for Few-Shot Regression. CoRR abs/2110.13561 (2021) - 2020
- [j4]Debora Zanatto, Massimiliano Patacchiola, Angelo Cangelosi, Jeremy Goslin:
Generalisation of Anthropomorphic Stereotype. Int. J. Soc. Robotics 12(1): 163-172 (2020) - [j3]Massimiliano Patacchiola, Patrick Fox-Roberts, Edward Rosten:
Y-Autoencoders: Disentangling latent representations via sequential encoding. Pattern Recognit. Lett. 140: 59-65 (2020) - [j2]Riccardo Polvara, Massimiliano Patacchiola, Marc Hanheide, Gerhard Neumann:
Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization. Robotics 9(1): 8 (2020) - [c8]Debora Zanatto, Massimiliano Patacchiola, Jeremy Goslin, Serge Thill, Angelo Cangelosi:
Do Humans Imitate Robots?: An Investigation of Strategic Social Learning in Human-Robot Interaction. HRI 2020: 449-457 - [c7]Massimiliano Patacchiola, Amos J. Storkey:
Self-Supervised Relational Reasoning for Representation Learning. NeurIPS 2020 - [c6]Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey:
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels. NeurIPS 2020 - [i7]Antreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal, Amos J. Storkey:
Defining Benchmarks for Continual Few-Shot Learning. CoRR abs/2004.11967 (2020) - [i6]Massimiliano Patacchiola, Amos J. Storkey:
Self-Supervised Relational Reasoning for Representation Learning. CoRR abs/2006.05849 (2020)
2010 – 2019
- 2019
- [c5]Mohammad Thabet, Massimiliano Patacchiola, Angelo Cangelosi:
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction. IROS 2019: 5079-5085 - [i5]Massimiliano Patacchiola, Patrick Fox-Roberts, Edward Rosten:
Y-Autoencoders: disentangling latent representations via sequential-encoding. CoRR abs/1907.10949 (2019) - [i4]Mohammad Thabet, Massimiliano Patacchiola, Angelo Cangelosi:
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction. CoRR abs/1908.05546 (2019) - [i3]Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley, Amos J. Storkey:
Deep Kernel Transfer in Gaussian Processes for Few-shot Learning. CoRR abs/1910.05199 (2019) - 2018
- [c4]Samuele Vinanzi, Massimiliano Patacchiola, Antonio Chella, Angelo Cangelosi:
Would a Robot Trust You? Developmental Robotics Model of Trust and Theory of Mind. AIC 2018: 74 - 2017
- [j1]Massimiliano Patacchiola, Angelo Cangelosi:
Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods. Pattern Recognit. 71: 132-143 (2017) - [c3]Luca Surace, Massimiliano Patacchiola, Elena Battini Sönmez, William Spataro, Angelo Cangelosi:
Emotion recognition in the wild using deep neural networks and Bayesian classifiers. ICMI 2017: 593-597 - [i2]Riccardo Polvara, Massimiliano Patacchiola, Sanjay K. Sharma, Jian Wan, Andrew Manning, Robert Sutton, Angelo Cangelosi:
Autonomous Quadrotor Landing using Deep Reinforcement Learning. CoRR abs/1709.03339 (2017) - [i1]Luca Surace, Massimiliano Patacchiola, Elena Battini Sonmez, William Spataro, Angelo Cangelosi:
Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers. CoRR abs/1709.03820 (2017) - 2016
- [c2]Debora Zanatto, Massimiliano Patacchiola, Jeremy Goslin, Angelo Cangelosi:
Priming Anthropomorphism: Can the credibility of humanlike robots be transferred to non-humanlike robots? HRI 2016: 543-544 - [c1]Massimiliano Patacchiola, Angelo Cangelosi:
A developmental Bayesian model of trust in artificial cognitive systems. ICDL-EPIROB 2016: 117-123
Coauthor Index
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