Search Results for author: Sven Leyffer

Found 4 papers, 1 papers with code

Modeling Design and Control Problems Involving Neural Network Surrogates

no code implementations20 Nov 2021 Dominic Yang, Prasanna Balaprakash, Sven Leyffer

We consider nonlinear optimization problems that involve surrogate models represented by neural networks.

Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments

no code implementations15 Jan 2021 Ahmed Attia, Sven Leyffer, Todd Munson

We present a novel stochastic approach to binary optimization for optimal experimental design (OED) for Bayesian inverse problems governed by mathematical models such as partial differential equations.

Experimental Design reinforcement-learning +1

Joint ptycho-tomography with deep generative priors

1 code implementation20 Sep 2020 Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, Doga Gursoy

In our simulations, we demonstrate that our proposed framework with parameter tuning and learned priors generates high-quality reconstructions under limited and noisy measurement data.


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