Scholar
Stefano Martiniani
Google Scholar ID: pxSj9JkAAAAJ
New York University
Statistical Physics
Computational Physics
Neural Systems
Machine Learning
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Citations & Impact
All-time
Citations
708
H-index
15
i10-index
20
Publications
20
Co-authors
15
list available
Publications
16 items
Reinforcement Learning on the Discrete Composition Channel of a Crystal Generator: Validated Gains and Reward Hacking
2026
Cited
0
Riemannian Flow Models with Reinforcement Learning for Molecular Crystal Structure Prediction
2026
Cited
0
OMatG-flash: An All-Atom Flow Map with Reinforce Adjoint Matching for Scalable Materials Discovery
2026
Cited
0
AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis
2026
Cited
0
Cyclic Denoising Reveals Ultrastable Memories in Diffusion Models
2026
Cited
0
MolCrystalFlow: Molecular Crystal Structure Prediction via Flow Matching
2026
Cited
0
Cross-View World Models
2026
Cited
0
Open Materials Generation with Inference-Time Reinforcement Learning
2026
Cited
0
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Co-authors
3 total
Ellad B. Tadmor
Professor of Aerospace Engineering and Mechanics, University of Minnesota
Levent Sagun
FAIR
David J Heeger
Professor of Psychology and Neural Science, New York University
