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.

Yhteystiedot

Sähköposti
[email protected]

Palkinnot

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

Tutkimusryhmät

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

Julkaisut

Gaussian Process Priors for View-Aware Inference

Yuxin Hou, Ari Heljakka, Arno Solin 2021 THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Sparse Algorithms for Markovian Gaussian Processes

William J. Wilkinson, Arno Solin, Vincent Adam 2021 24TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (AISTATS)

Novel view synthesis via depth-guided skip connections

Yuxin Hou, Arno Solin, Juho Kannala 2021 Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021

Scalable exact inference in multi-output Gaussian processes

Wessel Bruinsma, Eric Perim, Will Tebbutt, Scott Hosking, Arno Solin, Richard E. Turner 2020 Proceedings of the 37th International Conference on Machine Learning

Fast Variational Learning in State-Space Gaussian Process Models

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

Deep Automodulators

Ari Heljakka, Yuxin Hou, Juho Kannala, Arno Solin 2020 Thirty-fourth Conference on Neural Information Processing Systems

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

Movement-induced priors for deep stereo

Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin 2020 Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition

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

Stationary Activations for Uncertainty Calibration in Deep Learning

Lassi Meronen, Christabella Irwanto, Arno Solin 2020 Thirty-fourth Conference on Neural Information Processing Systems