Arno Solin

Arno Solin

Assistant Professor
T313 Dept. Computer Science

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.

Full researcher profile
https://research.aalto.fi/...

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

Phase I Finalist in OpenCV AI Competition 2021

An international AI competition celebrating OpenCV's 20th anniversary.
Invitation or ranking in competition Department of Computer Science Jan 2021

Positive Semi-Definite Circuits

HIIT short term project
Granted funding (public project funding) Department of Computer Science Nov 2022

Research groups

  • Computer Science Professors, Academy Research Fellow
  • Computer Science - Artificial Intelligence and Machine Learning (AIML), Academy Research Fellow
  • Professorship Solin A., Academy Research Fellow

Publications

Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming

Gabriel Riutort-Mayol, Paul Christian Bürkner, Michael R. Andersen, Arno Solin, Aki Vehtari 2023 STATISTICS AND COMPUTING

Fantasizing with Dual GPs in Bayesian Optimization and Active Learning

Paul Chang, Prakhar Verma, Ti John, Victor Picheny, Henry Moss, Arno Solin 2022

Non-separable spatio-temporal graph kernels via SPDEs

Alexander Nikitin, Ti John, Arno Solin, Samuel Kaski 2022 Proceedings of The 25th International Conference on Artificial Intelligence and Statistics

Uncertainty-guided source-free domain adaptation

Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin 2022 Computer Vision – ECCV 2022

HybVIO: Pushing the limits of real-time visual-inertial odometry

Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin 2022 Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching

Arno Solin, Rui Li, Andrea Pilzer 2022 Proceedings of the 25th International Conference on Information Fusion, FUSION 2022

Towards Coreset Learning in Probabilistic Circuits

Martin Trapp, Steven Lang, Aastha Shah, Martin Mundt, Kristian Kersting, Arno Solin 2022

Interpolation consistency training for semi-supervised learning

Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio, David Lopez-Paz 2022 Neural Networks