Miguel Vasco

Orcid: 0000-0002-5761-4105

According to our database1, Miguel Vasco authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
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2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks.
CoRR, 2024

NeuralThink: Algorithm Synthesis that Extrapolates in General Tasks.
CoRR, 2024

Goal-Conditioned Offline Reinforcement Learning via Metric Learning.
CoRR, 2024

A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo.
RLJ, 2024

Can Transformers Smell Like Humans?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Will You Participate? Exploring the Potential of Robotics Competitions on Human-Centric Topics.
Proceedings of the Human-Computer Interaction, 2024

Challenging Deep Learning Methods for EEG Signal Denoising under Data Corruption.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Detecting the Intention of Object Handover in Human-Robot Collaborations: An EEG Study.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface.
Proceedings of the Augmented Cognition, 2023

Pre-training with Augmentations for Efficient Transfer in Model-Based Reinforcement Learning.
Proceedings of the Progress in Artificial Intelligence, 2023

2022
Leveraging hierarchy in multimodal generative models for effective cross-modality inference.
Neural Networks, 2022

GMC - Geometric Multimodal Contrastive Representation Learning.
CoRR, 2022

Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Geometric Multimodal Contrastive Representation Learning.
Proceedings of the International Conference on Machine Learning, 2022

<i>How to Sense the World: </i> Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents.
CoRR, 2021

Exploiting Symmetry in Human Robot-Assisted Dressing Using Reinforcement Learning.
Proceedings of the Progress in Artificial Intelligence, 2021

2020
MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning.
CoRR, 2020

Explainable Agency by Revealing Suboptimality in Child-Robot Learning Scenarios.
Proceedings of the Social Robotics - 12th International Conference, 2020

Multimodal Representation Learning for Robotic Cross-Modality Policy Transfer.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Learning Multimodal Representations for Sample-efficient Recognition of Human Actions.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019


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