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F. P. Casale

4 papers hereh-index 195.8k citations40 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • q-bio.GN1
  • stat.ML1
same name
  • F. P. Casale — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedProbabilistic Neural Architecture Search

70 citations · 100 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification

Daniel Sens, Ario Sadafi, Francesco Paolo Casale +2

Multiple Instance Learning (MIL) has become the predominant approach for classification tasks on gigapixel histopathology whole slide images (WSIs). Within the MIL framework, singl…

stat.ML2019★ 70 cited

Probabilistic Neural Architecture Search

Francesco Paolo Casale, Jonathan Gordon, Nicolo Fusi

In neural architecture search (NAS), the space of neural network architectures is automatically explored to maximize predictive accuracy for a given task. Despite the success of re…

cs.LG2018★ 19 cited

Gaussian Process Prior Variational Autoencoders

Francesco Paolo Casale, Adrian V Dalca, Luca Saglietti +2

Variational autoencoders (VAE) are a powerful and widely-used class of models to learn complex data distributions in an unsupervised fashion. One important limitation of VAEs is th…

q-bio.GN2014★ 11 cited

DNA methylation variation in Arabidopsis has a genetic basis and shows evidence of local adaptation

Manu J. Dubin, Pei Zhang, Dazhe Meng +15

Epigenome modulation in response to the environment potentially provides a mechanism for organisms to adapt, both within and between generations. However, neither the extent to whi…

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