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Found 4 papers, 1 papers with code
From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE
Digital health technologies (DHT), such as wearable devices, provide personalized, continuous, and real-time monitoring of patient.
JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities
We present a scalable strategy for development of mesh-free hybrid neuro-symbolic partial differential equation solvers based on existing mesh-based numerical discretization methods.
Neuro-symbolic partial differential equation solver
We present a highly scalable strategy for developing mesh-free neuro-symbolic partial differential equation solvers from existing numerical discretizations found in scientific computing.
Solving inverse-PDE problems with physics-aware neural networks
We propose a novel composite framework to find unknown fields in the context of inverse problems for partial differential equations (PDEs).
