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Andrew Gracyk
Scholar

Andrew Gracyk

Google Scholar ID: bQLPs6EAAAAJ
PhD Student, Purdue University
Scientific machine learningapplied mathematics
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
8
 
H-index
2
 
i10-index
0
 
Publications
8
 
Co-authors
1
list available
Publications
9 items
Kähler landscapes for complex neural network descents and guarantees including a search and destroy of the Calabi-Yau manifold
2026
Cited
0
Shortcomings and capacities of real-constrained neural networks in complex spaces
2026
Cited
0
Complex normalizing flows can be information Kähler-Ricci flows
2026
Cited
0
Pseudo-differential-enhanced physics-informed neural networks
2026
Cited
0
Complex variational autoencoders admit K""ahler structure
2025
Cited
0
The calculus of variations of the Transformer on the hyperspherical tangent bundle
2025
Cited
0
Observability conditions for neural state-space models with eigenvalues and their roots of unity
2025
Cited
0
Variational autoencoders with latent high-dimensional steady geometric flows for dynamics
arXiv.org · 2024
Cited
0
Co-authors
1 total
Xiaohui Chen
Xiaohui Chen
University of Southern California