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


[email protected]


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.
Palkinto tai huomionosoitus tuotoksesta Tietotekniikan laitos 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.
Palkinto tai huomionosoitus tuotoksesta Professorship Solin A. Jul 2018

NeurIPS Reviewer Award

Ranked among the top reviewers for NeurIPS 2019.
Palkinto tai huomionosoitus tuotoksesta Tietotekniikan laitos Jan 2019

ICML Reviewer Award

ICML 2020 top reviewer recognition.
Palkinto tai huomionosoitus tuotoksesta Tietotekniikan laitos Jan 2020

NeurIPS Reviewer Award

Ranked among the top reviewers for NeurIPS 2020.
Palkinto tai huomionosoitus tuotoksesta Tietotekniikan laitos Jan 2020

Phase I Finalist in OpenCV AI Competition 2021

An international AI competition celebrating OpenCV's 20th anniversary.
Sijoittuminen kilpailussa tai osallistuminen kutsukilpailuun Tietotekniikan laitos Jan 2021

Positive Semi-Definite Circuits

HIIT short term project
Myönnetty rahoitus (julkiset tutkimusapurahat) Tietotekniikan laitos Nov 2022


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


Memory-Based Dual Gaussian Processes for Sequential Learning

Paul E. Chang, Prakhar Verma, S.T. John, Arno Solin, Mohammad Emtiyaz Khan 2023 Proceedings of the 40th International Conference on Machine Learning

Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models

Rui Li, ST John, Arno Solin 2023 Proceedings of the 40th International Conference on Machine Learning

Expansion of Visual Hints for Improved Generalization in Stereo Matching

Andrea Pilzer, Yuxin Hou, Niki Loppi, Arno Solin, Juho Kannala 2023 Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023

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

Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees

William Wilkinson, Simo Särkkä, Arno Solin 2023 Journal of Machine Learning Research

MixupE: Understanding and improving Mixup from directional derivative perspective

Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi 2023 Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023)

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, ST 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