Anderson, John

1. Neural Collaborative Filtering vs. Matrix Factorization Revisited
   2020/05/19 by Steffen Rendle, Walid Krichene, Rendle, Steffen +5 · 1 voice · 16 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.IR #cs.LG #stat.ML
2. Machine Learning in High Energy Physics Community White Paper
   2018/07/08 by Kim Albertsson, Piero Altoè, Albertsson, Kim +224 · 11 citations
   Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neutrino Physics Research #Particle Detector Development and Performance #Particle physics theoretical and experimental studies
3. Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
   2023/05/24 by Zhong Wan, Ricardo Baptista, Wan, Zhong Yi +11 · 6 citations
   Computer Science · Earth and Planetary Sciences · Environmental Science · #Advanced Mathematical Modeling in Engineering #Applied Physics (physics.app-ph) #Climate variability and models #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
4. Dynamical-generative downscaling of climate model ensembles
   2024/10/02 by Ignacio Lopez‐Gomez, Lopez-Gomez, Ignacio, Zhong Wan +9 · 5 citations
   Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Ecosystem dynamics and resilience #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
5. High Performance Monte Carlo Simulation of Ising Model on TPU Clusters
   2019/03/27 by Kun Yang, Yifan Chen, Yang, Kun +7 · 3 citations
   Computer Science · Physics and Astronomy · #Advanced Data Storage Technologies #Computational Physics (physics.comp-ph) #Distributed #FOS: Computer and information sciences #FOS: Physical sciences #Parallel #Parallel Computing and Optimization Techniques #Theoretical and Computational Physics #and Cluster Computing (cs.DC)
6. Efficient Training on Very Large Corpora via Gramian Estimation
   2018/07/18 by Krichene, Walid, Mayoraz, Nicolas, Rendle, Steffen +5 · 1 citation
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Global stability for nonlinear wave equations with multi-localized initial data
   2019/06/06 by Anderson, John, Pasqualotto, Federico · 1 citation
   #Analysis of PDEs (math.AP) #FOS: Mathematics #FOS: Physical sciences #Mathematical Physics (math-ph)
8. Large-Scale Discrete Fourier Transform on TPUs
   2020/02/09 by Lu, Tianjian, Chen, Yi-Fan, Hechtman, Blake +2 · 1 citation
   #Distributed #FOS: Computer and information sciences #Mathematical Software (cs.MS) #Parallel #and Cluster Computing (cs.DC)
9. Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
   2020/10/15 by Fantine Huot, Huot, Fantine, Ruiheng Hu +15 · 1 citation
   Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fire effects on ecosystems #Landslides and related hazards #Machine Learning (cs.LG) #Remote Sensing and LiDAR Applications
10. Global stability for a nonlinear system of anisotropic wave equations
    2021/04/22 by J. D. Anderson, Anderson, John · 1 citation
    Engineering · Mathematics · #Advanced Mathematical Physics Problems #Analysis of PDEs (math.AP) #FOS: Mathematics #Numerical methods in inverse problems #Stability and Controllability of Differential Equations
11. FireBench: A High-fidelity Ensemble Simulation Framework for Exploring Wildfire Behavior and Data-driven Modeling
    2024/06/12 by Qing Wang, Wang, Qing, Matthias Ihme +7 · 2 citations
    Environmental Science · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fire effects on ecosystems
12. Regional climate risk assessment from climate models using probabilistic machine learning
    2024/12/11 by Zhong Wan, Zhong Yi Wan, Ignacio Lopez‐Gomez +15 · 1 voice · 1 citation
    Computer Science · Mathematics · Physics and Astronomy · #Bayesian Methods and Mixture Models #cs.LG #math.NA #physics.ao-ph
13. A High-resolution Large-eddy Simulation Framework for Wildland Fire Predictions using TensorFlow
    2022/12/09 by Qing Wang, Matthias Ihme, Wang, Qing +15 · 1 citation
    Earth and Planetary Sciences · Environmental Science · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fire effects on ecosystems #Fluid Dynamics (physics.flu-dyn) #Landslides and related hazards #Meteorological Phenomena and Simulations
14. Accelerating large-eddy simulations of clouds with Tensor Processing Units
    2023/01/11 by Sheide Chammas, Qing Wang, Chammas, Sheide +9 · 1 citation
    Earth and Planetary Sciences · Environmental Science · #Aeolian processes and effects #Atmospheric aerosols and clouds #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics (physics.comp-ph) #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Geophysics (physics.geo-ph) #J.2 #Meteorological Phenomena and Simulations #Numerical Analysis (math.NA)