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G. Scarpellini

4 papers hereh-index 211 citations6 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedPearl: A Foundation Model for Placing Every Atom in the Right Location

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

Few-step Cofolding with All-Atom Flow Maps

Gianluca Scarpellini, Ron Shprints, Peter Holderrieth +7

All-atom generative modeling of 3D biomolecular complexes has emerged as the dominant paradigm for predicting the structure of proteins and protein-ligand systems. Generating struc…

cs.LG2025★ 3 cited

Pearl: A Foundation Model for Placing Every Atom in the Right Location

Genesis Research Team, Alejandro Dobles, Nina Jovic +37

Accurately predicting the three-dimensional structures of protein-ligand complexes remains a fundamental challenge in computational drug discovery that limits the pace and success…

q-bio.QM2025

Triangle Multiplication Is All You Need For Biomolecular Structure Representations

Jeffrey Ouyang-Zhang, Pranav Murugan, Daniel J. Diaz +7

AlphaFold has transformed protein structure prediction, but emerging applications such as virtual ligand screening, proteome-wide folding, and de novo binder design demand predicti…

cs.LG2023

π2vec: Policy Representations with Successor Features

Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci +3

This paper describes π2vec, a method for representing behaviors of black box policies as feature vectors. The policy representations capture how the statistics of founda…

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