Yu, Sungduk
- Climate-Invariant Machine Learning
2021/12/14 by Beucler, Tom, Gentine, Pierre, Yuval, Janni +10 · 14 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
2024/02/01 by Juan Nathaniel, Yongquan Qu, Nathaniel, Juan +11 · 7 citations
Earth and Planetary Sciences · #Meteorological Phenomena and Simulations
- ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
2023/06/14 by Sungduk Yu, Z W Hu, Yu, Sungduk +91 · 5 citations
Earth and Planetary Sciences · Physics and Astronomy · Environmental Science · #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #Hydrological Forecasting Using AI
- Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations
2024/06/28 by Zeyuan Hu, Hu, Zeyuan, Akshay Subramaniam +15 · 5 citations
Computer Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Distributed and Parallel Computing Systems #FOS: Physical sciences
- Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
2024/10/03 by Sungduk Yu, Man Luo, Yu, Sungduk +7 · 5 citations
Social Sciences · Medicine · Computer Science · #Artificial Intelligence in Law #Artificial Intelligence in Healthcare and Education #Topic Modeling
- Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
2025/02/26 by Yu, Sungduk, Luo, Man, Madusu, Avinash +2 · 6 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations
2024/02/05 by Behrens, Gunnar, Beucler, Tom, Iglesias-Suarez, Fernando +5 · 2 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences
- A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
2024/12/10 by Raanan Y. Rohekar, Rohekar, Raanan Y., Yaniv Gurwicz +5 · 3 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Scientific Computing and Data Management
- Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) Ensembles
2023/09/28 by Y. S. Lin, Sungduk Yu, Lin, Jerry +11 · 2 citations
Environmental Science · Earth and Planetary Sciences · #Climate variability and models #Meteorological Phenomena and Simulations #Hydrology and Watershed Management Studies
- ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution
2024/08/28 by Sungduk Yu, Brian White, Yu, Sungduk +11 · 1 citation
Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG)