Stefano Fiorini
Social Sciences · Indiana University
Publications
40
Citations
494
Est. group size
—
Recurring co-author estimate
Active years
30
Publishing since 1997
Stefano Fiorini's publication record spans two distinct strands: machine learning methods for geometric and graph-based problems (such as reconstructing 2D/3D objects from fragments, building maps from images, and designing graph neural networks), and quantitative studies in higher education that examine student outcomes and equity gaps in STEM courses. The work combines technical modeling approaches with data-driven social science research on educational access.
Publication activity has grown over the last decade, rising notably around 2024 with an average of about four papers per year over the past five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- History and Scope of Environmental Anthropology
2026
- Maps from Motion (MfM): Generating 2D Semantic Maps from Sparse Multi-View Images
2025
- Sheaves Reloaded: A Directional Awakening
arXiv (Cornell University) · 2025
- Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
arXiv (Cornell University) · 2025
- E-M3RF: An Equivariant Multimodal 3D Re-assembly Framework
arXiv (Cornell University) · 2025
- ReassembleNet: Learnable Keypoints and Diffusion for 2D Fresco Reconstruction
2025
- Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs
Proceedings of the AAAI Conference on Artificial Intelligence · 2024
- Positional diffusion: Graph-based diffusion models for set ordering
Pattern Recognition Letters · 2024
- DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
2024
- Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving
2024
- Systemic advantage has a meaningful relationship with grade outcomes in students’ early STEM courses at six research universities
International Journal of STEM Education · 2024
- A Multi-institutional Cluster Analysis to Identify Groups of Courses with Exemplary Opportunity Gaps for Undergraduate Students in the Biological Sciences
CBE—Life Sciences Education · 2024
- DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions
arXiv (Cornell University) · 2024
- Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving
arXiv (Cornell University) · 2024
- Maps from Motion (MfM): Generating 2D Semantic Maps from Sparse Multi-view Images
arXiv (Cornell University) · 2024
- arXiv (Cornell University)×9
- Proceedings of the AAAI Conference on Artificial Intelligence×2
- AERA Open×1
- International Journal of STEM Education×1
- Forest Ecology and Management×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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