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/...
Kontakuppgifter
E-post
[email protected]
Utmärkelser
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
Forskningsgrupp
- Computer Science Professors, Academy Research Fellow
- Computer Science - Artificial Intelligence and Machine Learning (AIML), Academy Research Fellow
- Professorship Solin A., Academy Research Fellow
Publikationer
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
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds
Rui Li, Ti John, 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