59 citations · 113 across the 10 of their papers we have counts for
4 papers · 1 filter
Generating Material Maps to Map Informal Settlements
Patrick Helber, Bradley Gram-Hansen, Indhu Varatharajan +4
Detecting and mapping informal settlements encompasses several of the United Nations sustainable development goals. This is because informal settlements are home to the most social…
Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data
Patrick Helber, Bradley Gram-Hansen, Indhu Varatharajan +4
Detecting and mapping informal settlements encompasses several of the United Nations sustainable development goals. This is because informal settlements are home to the most social…
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Atılım Güneş Baydin, Lukas Heinrich, Wahid Bhimji +12
We present a novel probabilistic programming framework that couples directly to existing large-scale simulators through a cross-platform probabilistic execution protocol, which all…
Hamiltonian Monte Carlo for Probabilistic Programs with Discontinuities
Bradley Gram-Hansen, Yuan Zhou, Tobias Kohn +3
Hamiltonian Monte Carlo (HMC) is arguably the dominant statistical inference algorithm used in most popular "first-order differentiable" Probabilistic Programming Languages (PPLs).…