activity
20202024
most citedSolving inverse-PDE problems with physics-aware neural networks

77 citations · 78 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2024

From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE

Samira Pakravan, Nikolaos Evangelou, Maxime Usdin +2

Digital health technologies (DHT), such as wearable devices, provide personalized, continuous, and real-time monitoring of patient. These technologies are contributing to the devel…

math.NA2022

Neuro-symbolic partial differential equation solver

Pouria Mistani, Samira Pakravan, Rajesh Ilango +2

We present a highly scalable strategy for developing mesh-free neuro-symbolic partial differential equation solvers from existing numerical discretizations found in scientific comp…

math.NA2022★ 1 cited

JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities

Pouria Mistani, Samira Pakravan, Rajesh Ilango +1

We present a scalable strategy for development of mesh-free hybrid neuro-symbolic partial differential equation solvers based on existing mesh-based numerical discretization method…

cs.CE2020

A fractional stochastic theory for interfacial polarization of cell aggregates

Pouria A. Mistani, Samira Pakravan, Frederic G. Gibou

We present a theoretical framework to model the electric response of cell aggregates. We establish a coarse representation for each cell as a combination of membrane and cytoplasm…

math.NA2020★ 77 cited

Solving inverse-PDE problems with physics-aware neural networks

Samira Pakravan, Pouria A. Mistani, Miguel Angel Aragon-Calvo +1

We propose a novel composite framework to find unknown fields in the context of inverse problems for partial differential equations (PDEs). We blend the high expressibility of deep…