Bradley Gram-Hansen | DeepAI

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∙ 05/14/2020

Simulation-Based Inference for Global Health Decisions

The COVID-19 pandemic has highlighted the importance of in-silico epidem...

11 Christian Schroeder de Witt, et al. ∙

∙ 10/20/2019

Amortized Rejection Sampling in Universal Probabilistic Programming

Existing approaches to amortized inference in probabilistic programs wit...

11 Saeid Naderiparizi, et al. ∙

∙ 07/08/2019

Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale

Probabilistic programming languages (PPLs) are receiving widespread atte...

2 Atılım Güneş Baydin, et al. ∙

∙ 05/29/2019

Hijacking Malaria Simulators with Probabilistic Programming

Epidemiology simulations have become a fundamental tool in the fight aga...

4 Bradley Gram-Hansen, et al. ∙

∙ 01/03/2019

Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data

Informal settlements are home to the most socially and economically vuln...

4 Bradley Gram-Hansen, et al. ∙

∙ 11/30/2018

Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data

Detecting and mapping informal settlements encompasses several of the Un...

0 Patrick Helber, et al. ∙

∙ 11/30/2018

Generating Material Maps to Map Informal Settlements

Detecting and mapping informal settlements encompasses several of the Un...

0 Patrick Helber, et al. ∙

∙ 07/20/2018

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model

We present a novel framework that enables efficient probabilistic infere...

4 Atilim Gunes Baydin, et al. ∙

∙ 04/07/2018

Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs

Hamiltonian Monte Carlo (HMC) is the dominant statistical inference algo...

0 Bradley Gram-Hansen, et al. ∙

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