51 citations · 97 across the 27 of their papers we have counts for
30 papers
ViBR-WM: Visual Bayesian Regression for World Modeling
Jifan Li, Ning Ning
Modeling temporal dependence and uncertainty is central to forecasting with world models. The Visual Bayesian Regression World Model combines visual features, physical histories an…
Newton-Schulz Retraction-Based Inference Enables Hidden Quantum Markov Models to Outperform Classical HMMs
Ning Ning
Hidden Markov models (HMMs) are widely used probabilistic models for discrete sequential data but can be limited when hidden dynamics are complex. Hidden quantum Markov models (HQM…
Change-point estimation for Weibull time series with copula-based Markov models
Li-Hsien Sun, Zong-Yuan Huang, Yi-Ling Huang +2
We study offline change-point estimation for time series data exhibiting nonlinear serial dependence. To address this problem, we propose a copula-based Markov chain model with Wei…
An Assessment of Ensemble Kalman Filter and Azouani-Olson-Titi Algorithms for Data Assimilation: A Comparative Study
Ning Ning, Collin Victor
Continuous data assimilation (CDA) is a method that continuously integrates observational data into a dynamical system to improve model accuracy in real-time. The AOT algorithm is…
VT-MRF-SPF: Variable Target Markov Random Field Scalable Particle Filter
Ning Ning
Markov random fields (MRFs) are invaluable tools across diverse fields, and spatiotemporal MRFs (STMRFs) amplify their effectiveness by integrating spatial and temporal dimensions.…
Understanding Human-COVID-19 Dynamics using Geospatial Big Data: A Systematic Literature Review
Binbin Lin, Lei Zou, Mingzheng Yang +5
The COVID-19 pandemic has changed human life. To mitigate the pandemic's impacts, different regions implemented various policies to contain COVID-19 and residents showed diverse re…