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researcher

Francesco Lässig

2 papers hereh-index 1304 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

most citedDarts: User-Friendly Modern Machine Learning for Time Series

57 citations · 57 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.NC2025

Unambiguous Representations in Neural Networks: An Information-Theoretic Approach to Intentionality

Francesco Lässig

Representations pervade our daily experience, from letters representing sounds to bit strings encoding digital files. While such representations require externally defined decoders…

cs.LG2021★ 57 cited

Darts: User-Friendly Modern Machine Learning for Time Series

Julien Herzen, Francesco Lässig, Samuele Giuliano Piazzetta +16

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.