papers
Publications (7)
math-ph2011
A Hybrid (Monte-Carlo/Deterministic) Approach for Multi-Dimensional Radiation Transport
Guillaume Bal, Anthony Davis, Ian Langmore
math-ph2011
Importance Sampling and Adjoint Hybrid Methods in Monte Carlo Transport with Reflecting Boundaries
Guillaume Bal, Ian Langmore
math.AP2010
Large Deviation Theory for a Homogenized and "Corrected" Elliptic ODE
Guillaume Bal, Roger Ghanem, Ian Langmore
stat.CO2019
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport
Matthew Hoffman, Pavel Sountsov, Joshua V. Dillon +3
stat.CO2018
Quadrature Compound: An approximating family of distributions
Josh Dillon, Ian Langmore
cs.AI2019
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes
Ari Kobren, Pablo Barrio, Oksana Yakhnenko +2
The paper proposes a probabilistic consensus modeling approach, using neural networks, to build knowledge bases that store both factual and subjective attributes while allowing the…
#knowledge base construction#subjective attribute modeling#precision control#probabilistic modeling
cs.LG2017
TensorFlow Distributions
Joshua V. Dillon, Ian Langmore, Dustin Tran +7