Arno Solin
Photo: Henrik Helenius / Hel Tech

Talks

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 9, 2020 Machine Learning Coffee Seminar
    Stationary activations for uncertainty calibration in deep learning
    Host: Laura Ruotsalainen / FCAI. Online.
  • October 29, 2020 Secondmind (former Prowler.io)
    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 SILO.ai
    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 Prowler.io
    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.