MK

Mikael Kuusela

0000-0001-6875-945X

stat.APstat.MEphysics.data-anhep-exstat.MLhep-phphysics.ao-phcs.LGstat.COmath.ST

On Valency

published · living versions

Semiparametric Estimation of Physics Parameters and Parton Distribution Functions

with Huanbiao Zhu, Jaco ter Hoeve, Maria Ubiali, Larry Wasserman

1 version

W_yk9y43xuv1 · current

Preprints & journals

34 papers in the corpus · 2009–2026

Statistical Oceanography of Profiling Floats and Surface Drifters

Mikael Kuusela, Sofia C. Olhede, Adam M. Sykulski

0 citations

2610.09668v12026arXiv

Improved Global Ocean Heat Content Estimation by Modeling Vertical Spatio-Temporal Dependence

Thea Sukianto, Donata Giglio, Mikael Kuusela

0 citations

2607.11832v12026arXiv

Locally stationary Argo ocean heat content estimates: Modeling, validation and uncertainty quantification

Thea Sukianto, Mikael Kuusela, Donata Giglio et al.

0 citations

2606.31957v12026arXiv

Model-Agnostic Signal Discovery with Machine Learning: Bridging the Gap Between Theory and Practice

Oz Amram, Marco Letizia, Mikael Kuusela

0 citations

2605.31103v12026arXiv

Keeping Score: Adaptive, Tuning-Free Loss Weighting for Score-Augmented Neural Ratio Estimation

Alexander Shen, Mikael Kuusela

0 citations

2605.12118v32026arXiv

Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression

Sanjit Dandapanthula, Margaret Johnson, Madeleine Pascolini-Campbell et al.

0 citations

2602.02813v12026arXiv

COWs and their Hybrids: A Statistical View of Custom Orthogonal Weights

Chad Schafer, Larry Wasserman, Mikael Kuusela

0 citations

2510.16174v12025arXiv

Simultaneous Frequentist Calibration of Confidence Regions for Multiple Functionals in Constrained Inverse Problems

Pau Batlle, Pratik Patil, Michael Stanley et al.

0 citations

2510.11708v12025arXiv

Response Matrix Estimation in Unfolding Differential Cross Sections

Huanbiao Zhu, Andrea Carlo Marini, Mikael Kuusela et al.

0 citations

2509.00892v22025arXiv

Neural Conditional Simulation for Complex Spatial Processes

Julia Walchessen, Andrew Zammit-Mangion, Raphael Huser et al.

0 citations

2508.20067v32025arXiv

Confidence intervals for functionals in constrained inverse problems via data-adaptive sampling-based calibration

Michael Stanley, Pau Batlle, Pratik Patil et al.

0 citations

2502.02674v22025arXiv

Multidimensional Deconvolution with Profiling

Huanbiao Zhu, Krish Desai, Mikael Kuusela et al.

1 citation

2409.10421v22024arXiv

Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions

Soheun Yi, John Alison, Mikael Kuusela

0 citations

2409.06960v22024arXiv

Robust semi-parametric signal detection in particle physics with classifiers decorrelated via optimal transport

Purvasha Chakravarti, Lucas Kania, Olaf Behnke et al.

0 citations

2409.06399v42024arXiv

Simulated Sea Surface Salinity Data from a 1/48° Ocean Model.

Bingham, Frederick M, Fournier, Séverine, Brodnitz, Susannah et al.

3 citations

387829692024Scientific data. 2024;11(1):532

North Atlantic Heat Transport Convergence Derived from a Regional Energy Budget Using Different Ocean Heat Content Estimates.

Meyssignac, B, Fourest, S, Mayer, Michael et al.

7 citations

397344262026Surveys in geophysics. 2024;45(6):1855-1874

Optimization-based frequentist confidence intervals for functionals in constrained inverse problems: Resolving the Burrus conjecture

Pau Batlle, Pratik Patil, Michael Stanley et al.

0 citations

2310.02461v32023arXiv

Posterior Uncertainty Estimation via a Monte Carlo Procedure Specialized for Data Assimilation

Michael Stanley, Mikael Kuusela, Brendan Byrne et al.

0 citations

2310.01397v22023arXiv

Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods

Julia Walchessen, Amanda Lenzi, Mikael Kuusela

12 citations

2305.04634v42023Spatial Statistics, 62:100848, 2024

Statistical constraints on climate model parameters using a scalable cloud-based inference framework

James Carzon, Bruno R. de Abreu, Leighton Regayre et al.

3 citations

2304.03127v22023arXiv

Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport

Tudor Manole, Patrick Bryant, John Alison et al.

3 citations

2208.02807v32022arXiv

Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems

Luca Masserano, Tommaso Dorigo, Rafael Izbicki et al.

2 citations

2205.15680v42022arXiv

Uncertainty quantification for wide-bin unfolding: one-at-a-time strict bounds and prior-optimized confidence intervals

Michael Stanley, Pratik Patil, Mikael Kuusela

8 citations

2111.01091v22021arXiv

Author Correction: Summertime increases in upper-ocean stratification and mixed-layer depth.

Sallée, Jean-Baptiste, Pellichero, Violaine, Akhoudas, Camille et al.

8 citations

343415422021Nature. 2021;596(7872):E7

Spatio-temporal Local Interpolation of Global Ocean Heat Transport using Argo Floats: A Debiased Latent Gaussian Process Approach

Beomjo Park, Mikael Kuusela, Donata Giglio et al.

5 citations

2105.09707v32021arXiv

Summertime increases in upper-ocean stratification and mixed-layer depth.

Sallée, Jean-Baptiste, Pellichero, Violaine, Akhoudas, Camille et al.

336 citations

337627642022Nature. 2021;591(7851):592-598

Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests

Purvasha Chakravarti, Mikael Kuusela, Jing Lei et al.

18 citations

2102.07679v42021arXiv

Spatio-temporal methods for estimating subsurface ocean thermal response to tropical cyclones

Addison J. Hu, Mikael Kuusela, Ann B. Lee et al.

6 citations

2012.15130v52020arXiv

Objective frequentist uncertainty quantification for atmospheric CO $_2$ retrievals

Pratik Patil, Mikael Kuusela, Jonathan Hobbs

1 citation

2007.14975v22020arXiv

Shape-constrained uncertainty quantification in unfolding steeply falling elementary particle spectra

Mikael Kuusela, Philip B. Stark

11 citations

1512.00905v42015arXiv

Statistical unfolding of elementary particle spectra: Empirical Bayes estimation and bias-corrected uncertainty quantification

Mikael Kuusela, Victor M. Panaretos

25 citations

1505.04768v32015Annals of Applied Statistics 2015, Vol. 9, No. 3, 1671-1705

Empirical Bayes unfolding of elementary particle spectra at the Large Hadron Collider

Mikael Kuusela, Victor M. Panaretos

1 citation

1401.8274v12014arXiv

Soft Classification of Diffractive Interactions at the LHC

Mikael Kuusela, Eric Malmi, Risto Orava et al.

0 citations

1101.0090v12010arXiv

Multivariate Techniques for Identifying Diffractive Interactions at the LHC

Mikael Kuusela, Jerry W. Lamsa, Eric Malmi et al.

4 citations

0909.3039v12009Int.J.Mod.Phys.A25:1615-1647,2010

Career total: 84 works. 34 are in this corpus.

Profile built from the corpus for this byline.

84

works

1,110

citations

12

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