Hao Wu

According to our database, Hao Wu authored at least 22 papers between 2004 and 2024.

Collaborative distances:

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

2024

IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning.

Ling Guo, Hao Wu, Yan Wang, Wenwen Zhou, Tao Zhou

J. Comput. Phys., 2024

2023

Reaction coordinate flows for model reduction of molecular kinetics.

Hao Wu, Frank Noé

CoRR, 2023

2022

Deeptime: a Python library for machine learning dynamical models from time series data.

Moritz Hoffmann, Martin Scherer, Tim Hempel, Andreas Mardt, Brian de Silva, Brooke E. Husic, Stefan Klus, Hao Wu, J. Nathan Kutz, Steven L. Brunton, Frank Noé

Mach. Learn. Sci. Technol., 2022

Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models.

Ling Guo, Hao Wu, Tao Zhou

J. Comput. Phys., 2022

2021

Kernel Embedding Based Variational Approach for Low-Dimensional Approximation of Dynamical Systems.

Wenchong Tian, Hao Wu

Comput. Methods Appl. Math., 2021

2020

Variational Approach for Learning Markov Processes from Time Series Data.

Hao Wu, Frank Noé

J. Nonlinear Sci., 2020

Stochastic Normalizing Flows.

Hao Wu, Jonas Köhler, Frank Noé

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep learning Markov and Koopman models with physical constraints.

Andreas Mardt, Luca Pasquali, Frank Noé, Hao Wu

Proceedings of Mathematical and Scientific Machine Learning, 2020

2018

Data-Driven Model Reduction and Transfer Operator Approximation.

Stefan Klus, Feliks Nüske, Péter Koltai, Hao Wu, Ioannis G. Kevrekidis, Christof Schütte, Frank Noé

J. Nonlinear Sci., 2018

Boltzmann Generators - Sampling Equilibrium States of Many-Body Systems with Deep Learning.

Frank Noé, Hao Wu

CoRR, 2018

Optimal Data-Driven Estimation of Generalized Markov State Models for Non-Equilibrium Dynamics.

Péter Koltai, Hao Wu, Frank Noé, Christof Schütte

Comput., 2018

Deep Generative Markov State Models.

Hao Wu, Andreas Mardt, Luca Pasquali, Frank Noé

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Spectral Learning of Dynamic Systems from Nonequilibrium Data.

Hao Wu, Frank Noé

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Maximum margin clustering for state decomposition of metastable systems.

Hao Wu

Neurocomputing, 2015

2014

Optimal Estimation of Free Energies and Stationary Densities from Multiple Biased Simulations.

Hao Wu, Frank Noé

Multiscale Model. Simul., 2014

2011

A flat Dirichlet process switching model for Bayesian estimation of hybrid systems.

Hao Wu, Frank Noé

Proceedings of the International Conference on Computational Science, 2011

Adaptive hypersonic flight control via back-stepping and Kriging estimation.

Bin Xu, Fuchun Sun, Shixing Wang, Hao Wu

Proceedings of the IEEE International Conference on Systems, 2011

2010

Maximum a posteriori estimation for Markov chains based on Gaussian Markov random fields.

Hao Wu, Frank Noé

Proceedings of the International Conference on Computational Science, 2010

Probability Distance Based Compression of Hidden Markov Models.

Hao Wu, Frank Noé

Multiscale Model. Simul., 2010

2008

Fuzzy Particle Filtering for Uncertain Systems.

Hao Wu, Fuchun Sun, Huaping Liu

IEEE Trans. Fuzzy Syst., 2008

2004

Optimal Trajectory Planning of a Flexible Dual-Arm Space Robot with Vibration Reduction.

Hao Wu, Fuchun Sun, Zengqi Sun, Licheng Wu

J. Intell. Robotic Syst., 2004

Neuro-Fuzzy Hybrid Position/Force Control for a Space Robot with Flexible Dual-Arms.

Fuchun Sun, Hao Zhang, Hao Wu

Proceedings of the Advances in Neural Networks, 2004