Miguel Vasco
Miguel Vasco
GAIPS, INESC-ID, Técnico, University of Lisbon
Verified email at - Homepage
Cited by
Cited by
Project INSIDE: towards autonomous semi-unstructured human–robot social interaction in autism therapy
FS Melo, A Sardinha, D Belo, M Couto, M Faria, A Farias, H Gamboa, ...
Artificial intelligence in medicine 96, 198-216, 2019
MHVAE: a human-inspired deep hierarchical generative model for multimodal representation learning
M Vasco, FS Melo, A Paiva
arXiv preprint arXiv:2006.02991, 2020
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning
R Silva, M Vasco, FS Melo, A Paiva, M Veloso
arXiv preprint arXiv:1911.12851, 2019
3D map distribution of metallic nanoparticles in whole cells using MeV ion microscopy
MS Vasco, LC Alves, V Corregidor, D Correia, CP Godinho, ...
Journal of Microscopy 267 (2), 227-236, 2017
Learning multimodal representations for sample-efficient recognition of human actions
M Vasco, FS Melo, DM de Matos, A Paiva, T Inamura
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
GMC--Geometric Multimodal Contrastive Representation Learning
P Poklukar, M Vasco, H Yin, FS Melo, A Paiva, D Kragic
arXiv preprint arXiv:2202.03390, 2022
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents
M Vasco, H Yin, FS Melo, A Paiva
arXiv preprint arXiv:2110.03608, 2021
Explainable Agency by Revealing Suboptimality in Child-Robot Learning Scenarios
S Tulli, M Couto, M Vasco, E Yadollahi, F Melo, A Paiva
International Conference on Social Robotics, 23-35, 2020
Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions.
M Vasco, FS Melo, DM de Matos, A Paiva, T Inamura
AAMAS, 2244-2246, 2019
3D map of the distribution of metals in a cell: applications to the toxicity of nanoparticles
M Vasco
Master Thesis, Instituto Superior Técnico, Universidade de Lisboa. Available …, 2016
Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories
F Vital, M Vasco, A Sardinha, F Melo
arXiv preprint arXiv:2204.03051, 2022
Leveraging hierarchy in multimodal generative models for effective cross-modality inference
M Vasco, H Yin, FS Melo, A Paiva
Neural Networks 146, 238-255, 2022
Exploiting Symmetry in Human Robot-Assisted Dressing Using Reinforcement Learning
P Ildefonso, P Remédios, R Silva, M Vasco, FS Melo, A Paiva, M Veloso
EPIA Conference on Artificial Intelligence, 405-417, 2021
Multimodal Representation Learning for Robotic Cross-Modality Policy Transfer
M Vasco
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
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