Arno Solin

Arno Solin

Assistant Professor
Assistant Professor
T313 Dept. Computer Science

Arno Solin is an Assistant Professor at Aalto University, specializing in artificial intelligence and machine learning with a focus on uncertainty quantification, robustness, and scalable inference. His research has been widely recognized, with over 70 peer-reviewed publications in top-tier venues in machine learning, earning multiple Best Paper Awards. Professor Solin is an ELLIS Scholar in the European Laboratory for Learning and Intelligent Systems, the pan-European AI network of excellence.

In addition to his research, Professor Solin is actively involved in teaching and academic leadership. He developed and teaches the popular 'Introduction to Artificial Intelligence' course at Aalto University. He has been recognized for his teaching excellence with several awards, including the 'Teacher of the Year' in his department. Beyond the classroom, he plays a key role in shaping the future of AI education in Finland as the Director of the Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC) and through his involvement with the Finnish Center for AI (FCAI).

Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]

Palkinnot

Positive Semi-Definite Circuits

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

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

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

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 2019.
Award or honor granted for a specific work Department of Computer Science Jan 2019

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

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

Tutkimusryhmät

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

Julkaisut

Rao-Blackwellized particle smoothing for simultaneous localization and mapping

Manon Kok, Arno Solin, Thomas B. Schön 2024 Data-Centric Engineering

Fixing Overconfidence in Dynamic Neural Networks

Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin 2024 Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024

FUNCTION-SPACE PARAMETERIZATION OF NEURAL NETWORKS FOR SEQUENTIAL LEARNING

Aidan Scannell, Riccardo Mereu, Paul Chang, Ella Tamir, Joni Pajarinen, Arno Solin 2024

Variational Gaussian Process Diffusion Processes

Prakhar Verma, Vincent Adam, Arno Solin 2024 Proceedings of the 27th International Conference on Artificial Intelligence and Statistics

Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices

Frida Viset , Anton Kullberg, Frederiek Wesel, Arno Solin 2024 Transactions on Machine Learning Research

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

Generative Modelling with Inverse Heat Dissipation

Severi Rissanen, Markus Heinonen, Arno Solin 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