Arno Solin

William J. Wilkinson, Joshua D. Reiss, Dan Stowell, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Explicit Link Between Periodic Covariance Functions and State Space Models

Arno Solin, Simo Särkkä, S. Särkkä, 2014, AISTATS.

Optimal Filtering with Kalman Filters and Smoothers

Arno Solin, Simo Särkkä, Jouni Hartikainen, 2011 .

Iterative Path Reconstruction for Large-Scale Inertial Navigation on Smartphones

Yuxin Hou, Arno Solin, Santiago Cortés Reina, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Stochastic Differential Equation Methods for Spatio-Temporal Gaussian Process Regression

Arno Solin, A. Solin, 2016 .

Recursive Chaining of Reversible Image-to-image Translators For Face Aging

Arno Solin, Juho Kannala, Ari Heljakka, 2018, ACIVS.

Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders

Arno Solin, Juho Kannala, Ari Heljakka, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Nonlinear state space model identification using a regularized basis function expansion

Thomas B. Schön, Arno Solin, Simo Särkkä, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

End-to-End Probabilistic Inference for Nonstationary Audio Analysis

William J. Wilkinson, Joshua D. Reiss, Dan Stowell, 2019, ICML.

Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps

Arno Solin, Manon Kok, M. Kok, 2018, 2018 21st International Conference on Information Fusion (FUSION).

MLSP 2014 Schizophrenia Classification Challenge: Winning Model Documentation

Arno Solin, 2014 .

Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER

Aki Vehtari, Arno Solin, Simo Särkkä, 2012, NeuroImage.

Multi-View Stereo by Temporal Nonparametric Fusion

Yuxin Hou, Arno Solin, Juho Kannala, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions

Arno Solin, Simo Särkkä, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

ADVIO: An authentic dataset for visual-inertial odometry pdf

Arno Solin, Santiago Cortés Reina, Esa Rahtu, 2018, ECCV.

Cubature Integration Methods in Non-Linear Kalman Filtering and Smoothing

Arno Solin, A. Solin, 2010 .

The 10th annual MLSP competition: First place

Arno Solin, Simo Särkkä, S. Särkkä, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Hilbert space methods for reduced-rank Gaussian process regression

Arno Solin, Simo Särkkä, S. Särkkä, 2014, Stat. Comput..

State Space Gaussian Processes with Non-Gaussian Likelihood

Arno Solin, Hannes Nickisch, Alexander Grigorevskiy, 2018, ICML.

Robust Gyroscope-Aided Camera Self-Calibration

Arno Solin, Santiago Cortés Reina, Juho Kannala, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Volumetric space-time structure of physiological noise in BOLD fMRI

Aki Vehtari, Arno Solin, Simo Vanni, 2013 .

Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering

Arno Solin, Simo Särkkä, Jouni Hartikainen, 2013, IEEE Signal Processing Magazine.

Continuous-Space Gaussian Process Regression and Generalized Wiener Filtering with Application to Learning Curves

Arno Solin, Simo Särkkä, 2013, SCIA.

Hilbert Space Methods in Infinite-Dimensional Kalman Filtering

Arno Solin, A. Solin, 2012 .

PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation

Arno Solin, Santiago Cortés Reina, Esa Rahtu, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Dual Parameterization of Sparse Variational Gaussian Processes pdf

Arno Solin, Vincent Adam, Paul E. Chang, 2021, NeurIPS.

Sparse Algorithms for Markovian Gaussian Processes pdf

Arno Solin, Vincent Adam, William J. Wilkinson, 2021, AISTATS.

Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation pdf

Arno Solin, Ella Tamir, Prakhar Verma, 2021, NeurIPS.

Spatio-Temporal Variational Gaussian Processes pdf

Arno Solin, Theodoros Damoulas, Oliver Hamelijnck, 2021, NeurIPS.

Non-separable Spatio-temporal Graph Kernels via SPDEs pdf

Arno Solin, Samuel Kaski, S. T. John, 2021, ArXiv.

Periodic Activation Functions Induce Stationarity pdf

Arno Solin, Martin Trapp, Lassi Meronen, 2021, NeurIPS.

Interpolation consistency training for semi-supervised learning

Arno Solin, David Lopez-Paz, Juho Kannala, 2022, Neural Networks.

Gaussian Process Priors for View-Aware Inference

Yuxin Hou, Arno Solin, Ari Heljakka, 2021, AAAI.

HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry pdf

Arno Solin, Esa Rahtu, Juho Kannala, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees pdf

Arno Solin, Simo Sarkka, William J. Wilkinson, 2021, ArXiv.

Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes

Arno Solin, Richard E. Turner, Will Tebbutt, 2021, UAI.

Terrain navigation in the magnetic landscape: Particle filtering for indoor positioning

Arno Solin, Esa Rahtu, Juho Kannala, 2016, 2016 European Navigation Conference (ENC).

Regularizing Solutions to the MEG Inverse Problem Using Space-Time Separable Covariance Functions

Marcel A. J. van Gerven, Arno Solin, Tom Heskes, 2016, 1604.04931.

Spatio-Temporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing

Arno Solin, Simo Särkkä, Jouni Hartikainen, 2013 .