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Gianluca Scarpellini

4 accepted papers

2026

Triangle Multiplication is All You Need for Biomolecular Structure Representations

ICLR 2026poster

AlphaFold has transformed protein structure prediction, but emerging applications such as virtual ligand screening, proteome-wide folding, and de novo binder design demand predictions at a massive scale, where runtime and memory costs become prohibitive. A major bottleneck lies in the Pairformer bac…

Cited by 0SourcecodeScholar
2024

$\pi$2vec: Policy Representation with Successor Features

ICLR 2024poster

This paper introduces $\pi$2vec, a method for representing black box policies as comparable feature vectors. Our method combines the strengths of foundation models that serve as generic and powerful state representations and successor features that can model the future occurrence of the states for a…

Cited by 1SourcePDFScholar
2024

DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly

CVPR 2024poster

Reassembly tasks play a fundamental role in many fields and multiple approaches exist to solve specific reassembly problems. In this context we posit that a general unified model can effectively address them all irrespective of the input data type (image 3D etc.). We introduce DiffAssemble a Graph N…

2024

Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving

NeurIPS 2024poster

This paper proposes the RePAIR dataset that represents a challenging benchmark to test modern computational and data driven methods for puzzle-solving and reassembly tasks. Our dataset has unique properties that are uncommon to current benchmarks for 2D and 3D puzzle solving. The fragments and fract…

Cited by 3SourcePDFScholar