Hao Wu - RankMe

32 papers A* 2B 1Misc 2Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Energy-based diffusion generator for efficient sampling of Boltzmann distributions. Neural Networks Yan Wang, Ling Guo, Hao Wu, Tao Zhou
2025	J	`jnl`	Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models. CoRR Michael Plainer, Hao Wu, Leon Klein, Stephan Günnemann, Frank Noé
2025	J	`jnl`	Deep set based operator learning with uncertainty quantification. CoRR Lei Ma, Ling Guo, Hao Wu, Tao Zhou
2024	J	`jnl`	Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems. Mach. Learn. Sci. Technol. Xiaofei Guan, Xintong Wang, Hao Wu, Zihao Yang, Peng Yu
2024	J	`jnl`	IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning. J. Comput. Phys. Ling Guo, Hao Wu, Yan Wang, Wenwen Zhou, Tao Zhou
2023	J	`jnl`	Reaction coordinate flows for model reduction of molecular kinetics. CoRR Hao Wu, Frank Noé
2022	J	`jnl`	Deeptime: a Python library for machine learning dynamical models from time series data. Mach. Learn. Sci. Technol. 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
2022	J	`jnl`	Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models. J. Comput. Phys. Ling Guo, Hao Wu, Tao Zhou
2021	J	`jnl`	Deeptime: a Python library for machine learning dynamical models from time series data. CoRR 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
2021	J	`jnl`	Kernel Embedding Based Variational Approach for Low-Dimensional Approximation of Dynamical Systems. Comput. Methods Appl. Math. Wenchong Tian, Hao Wu
2020	—	`conf`	Deep learning Markov and Koopman models with physical constraints. MSML Andreas Mardt, Luca Pasquali, Frank Noé, Hao Wu
2020	A*	`conf`	Stochastic Normalizing Flows. NeurIPS Hao Wu, Jonas Köhler, Frank Noé
2020	J	`jnl`	Stochastic Normalizing Flows. CoRR Hao Wu, Jonas Köhler, Frank Noé
2020	J	`jnl`	Variational Approach for Learning Markov Processes from Time Series Data. J. Nonlinear Sci. Hao Wu, Frank Noé
2018	J	`jnl`	Boltzmann Generators - Sampling Equilibrium States of Many-Body Systems with Deep Learning. CoRR Frank Noé, Hao Wu
2018	J	`jnl`	Data-Driven Model Reduction and Transfer Operator Approximation. J. Nonlinear Sci. Stefan Klus, Feliks Nüske, Péter Koltai, Hao Wu, Ioannis G. Kevrekidis, Christof Schütte, Frank Noé
2018	A*	`conf`	Deep Generative Markov State Models. NeurIPS Hao Wu, Andreas Mardt, Luca Pasquali, Frank Noé
2018	J	`jnl`	Deep Generative Markov State Models. CoRR Hao Wu, Andreas Mardt, Luca Pasquali, Frank Noé
2018	J	`jnl`	Optimal Data-Driven Estimation of Generalized Markov State Models for Non-Equilibrium Dynamics. Comput. Péter Koltai, Hao Wu, Frank Noé, Christof Schütte
2016	—	`conf`	Spectral Learning of Dynamic Systems from Nonequilibrium Data. NIPS Hao Wu, Frank Noé
2016	J	`jnl`	Spectral learning of dynamic systems from nonequilibrium data. CoRR Hao Wu, Frank Noé
2015	J	`jnl`	Maximum Margin Clustering for State Decomposition of Metastable Systems. CoRR Hao Wu
2015	J	`jnl`	Maximum margin clustering for state decomposition of metastable systems. Neurocomputing Hao Wu
2014	J	`jnl`	Optimal Estimation of Free Energies and Stationary Densities from Multiple Biased Simulations. Multiscale Model. Simul. Hao Wu, Frank Noé
2013	—	`conf`	Maximum Margin Clustering for State Decomposition of Metastable Systems. IWANN (1) Hao Wu
2011	Misc	`conf`	A flat Dirichlet process switching model for Bayesian estimation of hybrid systems. ICCS Hao Wu, Frank Noé
2011	B	`conf`	Adaptive hypersonic flight control via back-stepping and Kriging estimation. SMC Bin Xu, Fuchun Sun, Shixing Wang, Hao Wu
2010	Misc	`conf`	Maximum a posteriori estimation for Markov chains based on Gaussian Markov random fields. ICCS Hao Wu, Frank Noé
2010	J	`jnl`	Probability Distance Based Compression of Hidden Markov Models. Multiscale Model. Simul. Hao Wu, Frank Noé
2008	J	`jnl`	Fuzzy Particle Filtering for Uncertain Systems. IEEE Trans. Fuzzy Syst. Hao Wu, Fuchun Sun, Huaping Liu
2004	—	`conf`	Neuro-Fuzzy Hybrid Position/Force Control for a Space Robot with Flexible Dual-Arms. ISNN (2) Fuchun Sun, Hao Zhang, Hao Wu
2004	J	`jnl`	Optimal Trajectory Planning of a Flexible Dual-Arm Space Robot with Vibration Reduction. J. Intell. Robotic Syst. Hao Wu, Fuchun Sun, Zengqi Sun, Licheng Wu