Arno Solin
Photo: Henrik Helenius / Hel Tech


This list of talks is not actively maintained, but gives an overview about relevant topics for me. The list includes invited seminar talks, keynotes, tutorials, presentations, and some workshop presentations. Conference presentations have been omitted.

This list is only sporadically updated. A more up-to-date list is available in the university research portal.

Invited talks

Selected talks, updated sporadically.

  • November 2, 2023 Department of Statistics Seminar Series
    Structured inductive biases in machine learning: Approaches to magnetic SLAM and multi-scale generative modelling
    Host: University of Oxford. Oxford, UK.
  • October 24, 2023 Structured Learning Workshop
    Structure through induced bias: Generative modelling by inverse heat dissipation
    Host: Chalmers University. Gothenburg, Sweden.
  • July 18, 2023 ELLIS Summer School on Probabilistic Machine Learning
    Sequential inference and learning
    Host: University of Cambridge. Cambridge, UK.
  • February 13, 2023 Tekoäly-ilta, Ritarihuone
    Haasteena oppiva kone
    Host: Suomalainen Tiedeakatemia ja Nuorten Tiedeakatemia. Helsinki, Finland.
  • January 13, 2023 Tiedekioski, Tieteiden päivät
    Mistä tekoälyn mieli kumpuaa?
    Host: Keskustakirjasto Oodi. Helsinki, Finland.
  • January 12, 2023 Tieteiden yö
    Voiko tekoäly olla epävarma itsestään?
    Host: Nuorten Tiedeakatemia. Helsinki, Finland.
  • August 16, 2022 Dagstuhl Seminar on Differential Equations and Continuous-Time Deep Learning
    On practical inference and learning in dynamical systems
    Host: David Duvenaud, Max Welling, Markus Heinonen, and Michael Tiemann. Dagstuhl, Germany.
  • August 13, 2022 OxML Finance Summer School
    Gaussian processes (together with James Hensman)
    Oxford, UK.
  • June 15, 2022 Nordic Probabilistic AI School (ProbAI)
    Gaussian processes
    Helsinki, Finland.
  • February 8,2022 Statistics Seminar, Chalmers and Göteborg University
    On the link between neural networks and stationary Gaussian process priors
    Host: Prof. Umberto Picchini. Gothenburg, Sweden (online).
  • December 16, 2021 University of Linköping
    Pushing the limits of real-time visual-inertial motion estimation
    Host: Prof. Gustaf Hendeby. Linköping, Sweden.
  • December 7, 2021 Keynote at NeurIPS 2021 Meetup Copenhagen
    Simple principles for machine learning in a complicated world
    Host: ELLIS Copenhagen. Copenhagen, Denmark.
  • November 24, 2021 FIMA-FCAI Seminar on AI for Mobile Work Machines
    Road to data-efficiency: Guiding models with what they don’t know
    Host: Joint seminar by Finnish Center for Artificial Intelligence (FCAI) and Forum for Intelligent Machines (FIMA). UKK Instituutti, Tampere, Finland.
  • October 13, 2021 Saab-Aalto Research Day
    Uncertainty in artificial intelligence: Models that know what they do not know
    Helsinki, Finland.
  • September 20, 2021 Plenary talk at Workshop of the European Research Network System Identification (ERNSI)
    Fast and furious methods for real-time inference in SLAM
    Host: Inria Rennes – Bretagne Atlantique. Rennes, France (Hybrid).
  • September 10, 2021 Keynote at AI Challenge Days Hackathon
    A motivational talk about physics-induced priors in probabilistic ML
    Host: Markus Lange-Hegermann. Lemgo, Germany (Online).
  • September 9, 2021 Laatua laineilla -webinaari
    Tekoälyn hyödyntäminen palvelun laadunvalvonnassa
    Host: Opetushallitus. Helsinki, Finland (Online).
  • June 7, 2021 MAD workshop: SDEs and ML - What should we use where?
    What kind of solutions to SDEs should we care about in ML?
    Host: Neill Campbell. Bath, UK (Online).
  • February 11, 2021 Celsius–Linnaeus Lectures with Symposium, Uppsala University
    An unholy alliance: Probabilistic priors for deep vision
    Uppsala, Sweden (Online).
  • January 18, 2021 Ressu Upper Secondary School special course on AI
    Introduction to Artificial Intelligence
    Helsinki, Finland (Online).
  • November 9, 2020 Machine Learning Coffee Seminar
    Stationary activations for uncertainty calibration in deep learning
    Host: Laura Ruotsalainen / FCAI. (Online).
  • October 29, 2020 Secondmind (former
    Stationary activations for uncertainty calibration in deep learning
    Host: Hrvoje Stojic. Cambridge, UK (Online).
  • July 13, 2020 International Conference on Machine Learning (ICML)
    Machine learning with signal processing (ICML 2020 Tutorial)
    Vienna, Austria (Online).
  • December 20, 2019 Deep Structures
    The unholy alliance: Encoding probabilistic priors into deep vision models
    Host: Joint workshop by Alan Turing Institute and Finnish Center for Artificial Intelligence. Espoo, Finland.
  • September 12, 2019 Workshop on Structurally Constrained Gaussian Processes
    Constraining Gaussian processes by variational Fourier features
    University of Sheffield, UK.
  • September 9, 2019 Gaussian Process and Uncertainty Quantification Summer School (GPSS)
    State space methods for temporal GPs
    University of Sheffield, UK.
  • May 27, 2019 Uppsala University
    Know your boundaries: Constraining Gaussian processes by variational harmonic features
    Host: Prof. Thomas Schön. Uppsala, Sweden.
  • April 15, 2019 RIKEN AIP
    Scaling GPs for real-time inference: Infinite-horizon Gaussian processes
    Host: Dr. Emtiyaz Khan. Tokyo, Japan.
  • February 4, 2019 Keynote at HEL Tech // Machine Learning
    Directions in research: Real-time machine learning
    Helsinki, Finland.
  • January 29, 2019 Wayve Technologies
    Probabilistic inertial-visual odometry
    Host: Alex Kendall. Cambridge, UK.
  • January 18, 2019 Curious AI Company
    Infinite-horizon Gaussian processes (and other recent gems)
    Helsinki, Finland.
  • December 14, 2018 Statistics seminar, University of Jyväskylä
    A pictorial tour of recent advances in probabilistic sensor fusion and real-time inference
    Host: Prof. Matti Vihola. Jyväskylä, Finland.
  • December 12, 2018 AI Day
    Probabilistic learning from scarce data
    Espoo, Finland.
  • August 22, 2018
    Machine learning for real-time inference in sensor fusion and model adaptation
    Helsinki, Finland.
  • June 6, 2018 Tampere University of Technology
    Online learning with applications in odometry and SLAM
    Tampere, Finland.
  • May 30, 2018 Amazon Research Cambridge
    Online Gaussian processes with applications in magnetic field SLAM and sensor fusion
    Host: Dr. Andreas Damianou. Cambridge, UK.
  • May 29, 2018 Mind Foundry
    State space Gaussian processes
    Host: Dr. Alessandra Tosi. Oxford, UK.
  • May 3, 2018 Statistics seminar, School of Mathematics and Statistics, University of Sheffield
    Scalable magnetic field SLAM in 3D using Gaussian process maps
    Host: Prof. Richard Wilkinson. Sheffield, UK.
  • April 20, 2018 AI+Pizza seminar series, Microsoft Research Cambridge
    Learning ambient magnetic fields for localisation and mapping
    Host: Dr. Sebastian Nowozin. Cambridge, UK.
  • March 28, 2018 ETH Zurich
    Probabilistic inertial-visual odometry
    Zurich, Switzerland.
  • March 27, 2018 University of Freiburg
    Probabilistic inertial-visual odometry
    Host: Prof. Thomas Brox. Freiburg, Germany.
  • March 12, 2018
    Real-time sensor fusion and machine learning in your pockets
    Host: Dr. James Hensman. Cambridge, UK.
  • March 5, 2018 Research talk, CBL, Department of of Engineering, University of Cambridge
    Applied stochastic differential equations
    Cambridge, UK.
  • February 23, 2018 SFB Seminar, University of Potsdam
    Machine learning for sensor fusion in positioning and navigation
    Host: Dr. Jana de Wiljes. Potsdam, Germany.
  • August 30, 2017 Sequential Monte Carlo Workshop (SMC)
    Terrain navigation using the ambient magnetic field as a map
    Uppsala, Sweden.
  • February 2, 2017 University of Linköping
    Inertial navigation on smartphones with applications in indoor positioning
    Linköping, Sweden.
  • November 25, 2016 The Finnish Geospatial Research Institute (FGI) and the Nordic Institute of Navigation (NNF) seminar on Indoor Navigation (INTO)
    Inertial navigation on smartphones
    Helsinki, Finland.
  • November 19, 2013 SITraN, University of Sheffield
    Spatio-temporal Gaussian process modeling
    Host: Prof. Neil Lawrence. Sheffield, UK.