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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.

168,742 papers · 148 categories

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1 result for “Sobolev-seminorm”
Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimesstat.ML

This study reveals fundamental trade-offs between memorization and robustness in neural networks.

problem Understanding the balance between memorization and robustness in neural networks.
method Analyzes two-layer neural networks in various high-dimensional linearized regimes, focusing on Sobolev-seminorm.
result Establishes fundamental trade-offs between memorization and robustness, with lower bounds on Sobolev-seminorm.
neural networksmemorizationrobustnesstwo-layer networksSobolev-seminorm
2021-06-04abs ↗pdf ↗