Yen Ting Lin
- Liouville Flow Importance Sampler
2024/05/03 by Yifeng Tian, Nishant Panda, Tian, Yifeng +3 · 8 citations
Engineering · #Computation (stat.CO) #Data Analysis #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR) #Statistics and Probability (physics.data-an)
- High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2
2020/04/07 by Steven Sanche, Yen Ting Lin, Chonggang Xu +3 · 11 citations
Economics, Econometrics and Finance · Mathematics · Psychology · #COVID-19 Pandemic Impacts #COVID-19 and Mental Health #COVID-19 epidemiological studies
- Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules
2023/11/29 by Javier E. Santos, Santos, Javier E., Yen Ting Lin +1 · 4 citations
Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Physics (math-ph) #Simulation Techniques and Applications #Statistical Mechanics (cond-mat.stat-mech)
- Regression-based projection for learning Mori-Zwanzig operators
2022/05/10 by Yen Ting Lin, Lin, Yen Ting, Yifeng Tian +5 · 2 citations
Computer Science · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #Computational Physics (physics.comp-ph) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- The Novel Coronavirus, 2019-nCoV, is Highly Contagious and More Infectious Than Initially Estimated
2020/02/09 by Steven Sanche, Sanche, Steven, Yen Ting Lin +9 · 3 citations
Economics, Econometrics and Finance · Mathematics · Medicine · #COVID-19 Pandemic Impacts #COVID-19 epidemiological studies #FOS: Biological sciences #Populations and Evolution (q-bio.PE) #SARS-CoV-2 and COVID-19 Research
- Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching
2025/08/30 by An B. Vuong, An Vuong, Michael T. McCann +6 · 1 voice · 1 citation
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques #cs.LG
- Data-Driven Mori-Zwanzig: Approaching a Reduced Order Model for Hypersonic Boundary Layer Transition
2023/01/17 by Mark Woodward, Woodward, Michael, Yifeng Tian +12 · 1 citation
Physics and Astronomy · Engineering · Earth and Planetary Sciences · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Meteorological Phenomena and Simulations