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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.

168,695 papers · 148 categories

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2 results for “ODE-Nets”

Stateful ODE-Nets using Basis Function Expansionscs.LG

New ODE-Block handles stateful layers with continuous-in-depth functions using basis functions.

problem Handling stateful layers in ODE-Nets.

method Formulate ODE-Block using continuous-in-depth functions with basis function expansions.

result Enables state-of-the-art performance and reduces memory footprint.

ODE-Nets stateful layers basis functions continuous-in-depth batch normalization

2021-06-21abs ↗pdf ↗

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Controlcs.LG

In this paper, we introduce Symplectic ODE-Net (SymODEN), a deep learning framework which can infer the dynamics of a physical system, given by an ordinary differential equation (ODE), from observed state trajectories. To achieve better generalization with fewer training samples, SymODEN incorporates appropriate induct…

2019-09-26abs ↗pdf ↗