Arno Solin

Arno Solin

Arno Solin is an Associate Professor (tenured) 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
arno.solin@aalto.fi

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, Professor (Associate Professor)
  • Computer Science - Artificial Intelligence and Machine Learning (AIML) - Research area, Professor (Associate Professor)
  • Professorship Solin A., Professor (Associate Professor)

Julkaisut

FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking

Ulas Gunes, Matias Turkulainen, Xuqian Ren, Arno Solin, Juho Kannala, Esa Rahtu 2025 Image Analysis - 23rd Scandinavian Conference, SCIA 2025, Proceedings

Physics-Informed Variational State-Space Gaussian Processes

Oliver Hamelijnck, Arno Solin, Theodoros Damoulas 2025 Advances in Neural Information Processing Systems 37 (NeurIPS 2024)

Sources of Uncertainty in 3D Scene Reconstruction

Marcus Klasson, Riccardo Mereu, Juho Kannala, Arno Solin 2025 Computer Vision – ECCV 2024 Workshops

Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models

Najwa Laabid, Severi Rissanen, Markus Heinonen, Arno Solin, Vikas Garg 2025 13th International Conference on Learning Representations, ICLR 2025

Flatness Improves Backbone Generalisation in Few-Shot Classification

Rui Li, Martin Trapp, Marcus Klasson, Arno Solin 2025 Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025

Streamlining Prediction in Bayesian Deep Learning

Rui Li, Marcus Klasson, Arno Solin, Martin Trapp 2025 13th International Conference on Learning Representations, ICLR 2025

Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs

Severi Rissanen, Markus Heinonen, Arno Solin 2025 13th International Conference on Learning Representations, ICLR 2025

Discrete Codebook World Models for Continuous Control

Aidan Scannell, Mohammadreza Nakhaei, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen 2025 13th International Conference on Learning Representations, ICLR 2025

Approximate Bayesian Inference via Bitstring Representations

Aleksanteri Sladek, Martin Trapp, Arno Solin 2025 Proceedings of Machine Learning Research

Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization

Haishan Wang, Mohammad Hassan Vali, Arno Solin 2025 Image Analysis - 23rd Scandinavian Conference, SCIA 2025, Reykjavik, Iceland, June 23–25, 2025, Proceedings, Part I