Login / Signup
Mikael Kuusela
ORCID
Publication Activity (10 Years)
Years Active: 2009-2023
Publications (10 Years): 4
Top Topics
Sea Surface
Top Venues
CoRR
SIAM/ASA J. Uncertain. Quantification
Remote. Sens.
</>
Publications
</>
Luca Masserano
,
Tommaso Dorigo
,
Rafael Izbicki
,
Mikael Kuusela
,
Ann B. Lee
Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems.
AISTATS
(2023)
Severine Fournier
,
Frederick M. Bingham
,
Cristina González-Haro
,
Akiko Hayashi
,
Karly M. Ulfsax Carlin
,
Susannah K. Brodnitz
,
Verónica González-Gambau
,
Mikael Kuusela
Quantification of Aquarius, SMAP, SMOS and Argo-Based Gridded Sea Surface Salinity Product Sampling Errors.
Remote. Sens.
15 (2) (2023)
Pratik Patil
,
Mikael Kuusela
,
Jonathan Hobbs
Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals.
SIAM/ASA J. Uncertain. Quantification
10 (3) (2022)
Luca Masserano
,
Tommaso Dorigo
,
Rafael Izbicki
,
Mikael Kuusela
,
Ann B. Lee
Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm.
CoRR
(2022)
Tommi Vatanen
,
Mikael Kuusela
,
Eric Malmi
,
Tapani Raiko
,
Timo Aaltonen
,
Yoshikazu Nagai
Semi-supervised detection of collective anomalies with an application in high energy particle physics.
IJCNN
(2012)
Antti Honkela
,
Tapani Raiko
,
Mikael Kuusela
,
Matti Tornio
,
Juha Karhunen
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes.
J. Mach. Learn. Res.
11 (2010)
Mikael Kuusela
,
Tapani Raiko
,
Antti Honkela
,
Juha Karhunen
A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians.
IJCNN
(2009)