Shiwei Lan

According to our database, Shiwei Lan authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Reconstruction of the Space-Dependent Thermal Conductivity from Sparse Temperature Measurements.

Guangting Yu, Shiwei Lan, Kookjin Lee, Alex Mahalov

CoRR, 2024

Deep Q-Exponential Processes.

Zhi Chang, Chukwudi Obite, Shuang Zhou, Shiwei Lan

CoRR, 2024

2023

Bayesian spatiotemporal modeling for inverse problems.

Shiwei Lan, Shuyi Li, Mirjeta Pasha

Stat. Comput., August, 2023

Bayesian Learning via Q-Exponential Process.

Shuyi Li, Michael O'Connor, Shiwei Lan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks.

Shiwei Lan, Shuyi Li, Babak Shahbaba

SIAM/ASA J. Uncertain. Quantification, December, 2022

Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models.

Shiwei Lan

J. Mach. Learn. Res., 2022

2021

Calibrate, emulate, sample.

Emmet Cleary, Alfredo Garbuno-Inigo, Shiwei Lan, Tapio Schneider, Andrew M. Stuart

J. Comput. Phys., 2021

2020

Nonparametric Fisher Geometry with Application to Density Estimation.

Andrew Holbrook, Shiwei Lan, Jeffrey Streets, Babak Shahbaba

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Adaptive dimension reduction to accelerate infinite-dimensional geometric Markov Chain Monte Carlo.

Shiwei Lan

J. Comput. Phys., 2019

2017

Geometric MCMC for infinite-dimensional inverse problems.

Alexandros Beskos, Mark A. Girolami, Shiwei Lan, Patrick E. Farrell, Andrew M. Stuart

J. Comput. Phys., 2017

2016

Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian Inverse Problems.

Shiwei Lan, Tan Bui-Thanh, Mike Christie, Mark A. Girolami

J. Comput. Phys., 2016

2015

An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics.

Shiwei Lan, Julia A. Palacios, Michael D. Karcher, Vladimir N. Minin, Babak Shahbaba

Bioinform., 2015

2014

Split Hamiltonian Monte Carlo.

Babak Shahbaba, Shiwei Lan, Wesley O. Johnson, Radford M. Neal

Stat. Comput., 2014

A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons.

Babak Shahbaba, Bo Zhou, Shiwei Lan, Hernando Ombao, David Moorman, Sam Behseta

Neural Comput., 2014

Spherical Hamiltonian Monte Carlo for Constrained Target Distributions.

Shiwei Lan, Bo Zhou, Babak Shahbaba

Proceedings of the 31th International Conference on Machine Learning, 2014

Wormhole Hamiltonian Monte Carlo.

Shiwei Lan, Jeffrey Streets, Babak Shahbaba

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014