3 citations · 4 across the 4 of their papers we have counts for
4 papers
Structured Neural Networks for Density Estimation and Causal Inference
Asic Q. Chen, Ruian Shi, Xiang Gao +2
Injecting structure into neural networks enables learning functions that satisfy invariances with respect to subsets of inputs. For instance, when learning generative models using…
Distributed Nonlinear Filtering using Triangular Transport Maps
Daniel Grange, Ricardo Baptista, Amirhossein Taghvaei +2
The distributed filtering problem sequentially estimates a global state variable using observations from a network of local sensors with different measurement models. In this work,…
Computational Optimal Transport and Filtering on Riemannian manifolds
Daniel Grange, Mohammad Al-Jarrah, Ricardo Baptista +4
In this paper we extend recent developments in computational optimal transport to the setting of Riemannian manifolds. In particular, we show how to learn optimal transport maps fr…
An adaptive ensemble filter for heavy-tailed distributions: tuning-free inflation and localization
Mathieu Le Provost, Ricardo Baptista, Jeff D. Eldredge +1
Heavy tails is a common feature of filtering distributions that results from the nonlinear dynamical and observation processes as well as the uncertainty from physical sensors. In…