Francesco Lässig
Francesco Lässig
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Bio-Inspired, Task-Free Continual Learning through Activity Regularization
This work puts forward a novel continual learning algorithm based on brain-inspired principles of neural computation. Contrary to many existing approaches, our method does not make use of task boundaries or data replay.
Francesco Lässig
,
Pau Vilimelis Aceituno
,
Martino Sorbaro
,
Benjamin F. Grewe
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DOI
Biological Cybernetics
arXiv
Darts: User-friendly modern machine learning for time series
We present Darts, a Python machine learning library for time series, with a focus on forecasting. Darts offers a variety of models, from classics such as ARIMA to state-of-the-art deep neural networks.
Julien Herzen
,
Francesco Lässig
,
and others
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