Scholar
Grant M. Rotskoff
Google Scholar ID: D6j2WboAAAAJ
Department of Chemistry, Stanford University
Nonequilibrium Statistical Mechanics
Self-Assembly
Biophysics
Machine Learning
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2,294
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24
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37
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20
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10 items
Generative modeling of intrinsically disordered protein regions by reinforcing sparse autoencoder features
2026
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0
FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models
2026
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0
The cost of quantum algorithms for biochemistry: A case study in metaphosphate hydrolysis
2026
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0
Pushing the limits of one-dimensional NMR spectroscopy for automated structure elucidation using artificial intelligence
2025
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0
DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion Models
2025
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0
A Unified Approach to Analysis and Design of Denoising Markov Models
2025
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0
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
2025
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Features are fate: a theory of transfer learning in high-dimensional regression
arXiv.org · 2024
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2
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