Robert J. Ravier — accepted AI-conference papers

2021

Task-Aware Neural Architecture Search

Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh

ICASSP 2021accepted

The design of handcrafted neural networks requires a lot of time and resources. Recent techniques in Neural Architecture Search (NAS) have proven to be competitive or better than traditional handcrafted design, although they require domain knowledge and have generally used limited search spaces. In…

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2020

Learning Partial Differential Equations From Data Using Neural Networks

Ali Hasan, João M. Pereira, Robert J. Ravier, Sina Farsiu, Vahid Tarokh

ICASSP 2020accepted

We develop a framework for estimating unknown partial differential equations (PDEs) from noisy data, using a deep learning approach. Given noisy samples of a solution to an unknown PDE, our method interpolates the samples using a neural network, and extracts the PDE by equating derivatives of the ne…

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