Mikael Kuusela

1. Heat stored in the Earth system 1960–2020: where does the energy go?
   2023/04/17 by Karina von Schuckmann, Audrey Minière, Flora Gues +65 · 1 voice · 8 citations
   Environmental Science · Earth and Planetary Sciences · #Climate variability and models #Atmospheric and Environmental Gas Dynamics #Arctic and Antarctic ice dynamics
2. Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests
   2021/02/15 by Purvasha Chakravarti, Chakravarti, Purvasha, Mikael Kuusela +5 · 3 citations
   Computer Science · Mathematics · Physics and Astronomy · #Applications (stat.AP) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #High Energy Physics - Phenomenology (hep-ph) #Particle physics theoretical and experimental studies #Statistical Methods and Inference #Statistics and Probability (physics.data-an)
3. Objective frequentist uncertainty quantification for atmospheric CO₂\n retrievals
   2020/07/29 by Pratik Patil, Patil, Pratik, Mikael Kuusela +3 · 2 citations
   Computer Science · Engineering · Environmental Science · #15A29 #62F30 #62P12 #90C90 #Applications (stat.AP) #Atmospheric and Environmental Gas Dynamics #Atmospheric and Oceanic Physics (physics.ao-ph) #Calibration and Measurement Techniques #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Geochemistry and Geologic Mapping #Statistics and Probability (physics.data-an)
4. Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport
   2022/08/04 by Tudor Manole, P. Bryant, Manole, Tudor +7 · 2 citations
   Medicine · Physics and Astronomy · #Applications (stat.AP) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Medical Imaging Techniques and Applications #Methodology (stat.ME) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
5. Spatio-temporal methods for estimating subsurface ocean thermal response to tropical cyclones
   2020/12/30 by Addison J. Hu, Mikael Kuusela, Hu, Addison J. +7 · 1 citation
   Earth and Planetary Sciences · Environmental Science · #Applications (stat.AP) #Climate variability and models #FOS: Computer and information sciences #Ocean Waves and Remote Sensing #Tropical and Extratropical Cyclones Research
6. Spatio-temporal Local Interpolation of Global Ocean Heat Transport using Argo Floats: A Debiased Latent Gaussian Process Approach
   2021/05/20 by Beomjo Park, Park, Beomjo, Mikael Kuusela +5 · 1 citation
   Computer Science · Earth and Planetary Sciences · Environmental Science · #Applications (stat.AP) #Atmospheric and Environmental Gas Dynamics #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Oceanographic and Atmospheric Processes
7. Optimization-based frequentist confidence intervals for functionals in constrained inverse problems: Resolving the Burrus conjecture
   2023/10/03 by Pau Batlle, Batlle, Pau, Pratik Patil +7 · 2 citations
   Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
8. Neural Conditional Simulation for Complex Spatial Processes
   2025/08/27 by Julia Walchessen, Andrew Zammit-Mangion, Walchessen, Julia +5 · 2 citations
   #stat.ME #stat.ML
9. Multidimensional Deconvolution with Profiling
   2024/09/16 by Huanbiao Zhu, Krish Desai, Zhu, Huanbiao +9 · 2 citations
   Computer Science · #Neural Networks and Applications
10. Confidence intervals for functionals in constrained inverse problems via data-adaptive sampling-based calibration
    2025/02/04 by Michael Stanley, Stanley, Michael, Pau Batlle +7 · 2 citations
    Mathematics · Engineering · #Numerical methods in inverse problems #Statistical and numerical algorithms #Sparse and Compressive Sensing Techniques