1 code implementation • 11 Feb 2020 • Mahmoud Elzouka, Charles Yang, Adrian Albert, Sean Lubner, Ravi S. Prasher
We then use a combination of decision tree and random forest models to solve both the forward problem (particle design in, optical properties out) and inverse problem (desired optical properties in, range of particle designs out).
Optics
1 code implementation • 20 Nov 2019 • Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu
While deep learning has shown tremendous success in a wide range of domains, it remains a grand challenge to incorporate physical principles in a systematic manner to the design, training, and inference of such models.
no code implementations • 22 Jul 2019 • Adrian Albert, Jasleen Kaur, Emanuele Strano, Marta Gonzalez
Accurately forecasting urban development and its environmental and climate impacts critically depends on realistic models of the spatial structure of the built environment, and of its dependence on key factors such as population and economic development.
no code implementations • 13 May 2019 • Jin-Long Wu, Karthik Kashinath, Adrian Albert, Dragos Chirila, Prabhat, Heng Xiao
In this work, we present a statistical constrained generative adversarial network by enforcing constraints of covariance from the training data, which results in an improved machine-learning-based emulator to capture the statistics of the training data generated by solving fully resolved PDEs.
1 code implementation • 8 Jan 2018 • Adrian Albert, Emanuele Strano, Jasleen Kaur, Marta Gonzalez
In this study we propose a new method to simulate hyper-realistic urban patterns using Generative Adversarial Networks trained with a global urban land-use inventory.
3 code implementations • 10 Apr 2017 • Adrian Albert, Jasleen Kaur, Marta Gonzalez
For supervision, given the limited availability of standard benchmarks for remote-sensing data, we obtain ground truth land use class labels carefully sampled from open-source surveys, in particular the Urban Atlas land classification dataset of $20$ land use classes across $~300$ European cities.