Online continual learning through unsupervised mutual information maximization
Published in Neurocomputing, 2024
a neural network layer implementing a mixture of experts to facilitate continual learning
PUBLICATIONS
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Hierarchically structured task-agnostic continual learning
Published in Machine Learning, 2023
a neural network layer implementing a mixture of experts to facilitate continual learning
Mixture-of-variational-experts for continual learning
Published in ICLR Workshop on Agent Learning in Open-Endedness, 2021
a neural network layer implementing a mixture of experts to facilitate continual learning
Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective
Published in Frontiers in Physiology, 2021
Information-efficient learning in multi-modal pain assessment.
Specialization in Hierarchical Learning Systems
Published in Neural Processing Letters, 2020
We show how specialization in hierarchical learning systems facilitates Meta-Learning.
Hierarchical Expert Networks for Meta-Learning
Published in 4th ICML Workshop on Lifelong Machine Learning, 2019
Combine free-energy optimizing neural networks for efficient adaptation to facilitate meta-learning.
An information-theoretic on-line learning principle for specialization in hierarchical decision-making systems
Published in IEEE 58th Conference on Decision and Control (CDC), 2019
Specialization in machine learning for information-efficient decision-making.
Bounded rational decision-making with adaptive neural network priors
Published in Neurocomputing, 2018
MCMC methods to simulate bounded rationality in neural networks