Arno Solin

Arno Solin

Apulaisprofessori
CS

I have a broad interest in statistical modelling, machine learning, and signal processing. My key research interests are in Bayesian inference methods for stochastic dynamical systems, linear and non-linear Kalman filtering, and Gaussian process models and infinite-dimensional Kalman filtering for spatio-temporal models.

My application areas revolve around real-time inference applications on limited hardware such as smartphones. These include sensor fusion applications for tracking and localisation, and temporal and spatio-temporal modelling of, e.g., the weather and human brain.

Contact information

Honors and awards

Best Paper Award

Best Paper Award at the Young Demographers conference for the paper "Computationally Inferred Genealogical Networks UncoverLong-Term Trends in Assortative Mating" by Eric Malmi, Aristides Gionis, and Arno Solin.
Award or honor granted for a specific work Department of Computer Science Feb 2018

Best Paper Award at FUSION 2018

The paper "Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps" by Manon Kok and Arno Solin was awarded the Best Paper award at the FUSION conference in Cambridge, UK.
Award or honor granted for a specific work Professorship Solin A. Jul 2018

NeurIPS Reviewer Award

Ranked among the top reviewers for NeurIPS 2019.
Award or honor granted for a specific work Department of Computer Science Jan 2019

ICML Reviewer Award

ICML 2020 top reviewer recognition.
Award or honor granted for a specific work Department of Computer Science Jan 2020

NeurIPS Reviewer Award

Ranked among the top reviewers for NeurIPS 2020.
Award or honor granted for a specific work Department of Computer Science Jan 2020

Research groups

  • Professorship Solin A., Assistant Professor

Publications

Fast Variational Learning in State-Space Gaussian Process Models

Paul Chang, William Wilkinson, Mohammad Emtiyaz Khan, Arno Solin 2020 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)

Towards photographic image manipulation with balanced growing of generative autoencoders

Ari Heljakka, Arno Solin, Juho Kannala 2020 Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020

Multi-view stereo by temporal nonparametric fusion

Yuxin Hou, Juho Kannala, Arno Solin 2020 Proceedings - 2019 International Conference on Computer Vision, ICCV 2019

Movement tracking by optical flow assisted inertial navigation

Lassi Meronen, William J. Wilkinson, Arno Solin 2020 Proceedings of 2020 23rd International Conference on Information Fusion, FUSION 2020

State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes

William Wilkinson, Paul Chang, Michael Riis Andersen, Arno Solin 2020 Proceedings of the 37th International Conference on Machine Learning

Iterative path reconstruction for large-scale inertial navigation on smartphones

Santiago Cortes Reina, Yuxin Hou, Juho Kannala, Arno Solin 2020 Proceedings of the International Conference on Information Fusion (FUSION)

Applied Stochastic Differential Equations

Simo Särkkä, Arno Solin 2019

Unifying Probabilistic Models for Time-frequency Analysis

William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin 2019 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings

Global approximate inference via local linearisation for temporal Gaussian processes

William Wilkinson, Paul Chang, Michael Andersen, Arno Solin 2019

End-to-End Probabilistic Inference for Nonstationary Audio Analysis

William Wilkinson, Michael Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin 2019 36th International Conference on Machine Learning, ICML 2019