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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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0111 · Sep 202019922001200920172026
5 results for structure-guided

Study G2G_2-flows reducing to complex geometry flows, focusing on G2G_2-anomaly and G2G_2-Laplacian coflow.

problem Investigate flows of G2G_2-structures in relation to complex geometry.
method Analyze G2G_2-Laplacian coflow and G2G_2-anomaly flow, compare their properties.
result Compare G2G_2-anomaly flow to G2G_2-Laplacian coflow, investigate short-time existence and fixed points.

Deep RL optimizes processing paths to desired material structures.

problem Optimizing processing paths to achieve desired material properties.
method Deep reinforcement learning guided by structure representations and reward signals.
result Algorithm learns to find optimal paths to target structures in material space.

GCDM generates valid large 3D molecules and optimizes existing molecules.

problem Lack of geometric properties in 3D molecule generation models.
method Introduces Geometry-Complete Diffusion Model (GCDM) using equivariant GNNs.
result Significantly outperforms existing models in 3D molecule generation and optimization.