Computer Science - Artificial Intelligence and Machine Learning (AIML)

Activities

Activities per year 2019 2021 2022 2023

• 16 Invited academic talk
• 8 Pre-examination of doctoral thesis or acting as opponent to doctoral students or membership of doctoral thesis committee or board
• 6 Conference presentation
• 6 Academic keynote or plenary lecture
• 32 More
  • 4 Membership of a scientific or program committee of a conference or seminar
  • 4 Hosting an academic visitor
  • 3 Chair or participant of a conference, workshop, panel, session, tutorial or event
  • 3 Organization of a workshop, panel, session, tutorial or event
  • 3 Reviewer of scientific journal
  • 3 Position of trust in an academic community
  • 2 Membership of an organizing committee or other positions of trust of a conference or a seminar
  • 2 Position of trust in a society or network
  • 1 Participant of a conference, workshop, session, tutorial or event
  • 1 School engagement
  • 1 Membership of an editorial board
  • 1 Evaluation of funding applications
  • 1 Work for advisory/policy/evaluation group or panel (public/government/UN/EU)
  • 1 Teaching merits
  • 1 Non-academic public talk (public outreach)
  • 1 Visiting an external academic institution

Activities per year

Search results

• Collaborative AI for assisting virtual laboratories

  Samuel Kaski (Speaker)

  2023

  Activity: Talk or presentation types › Invited academic talk

• On the link between neural networks and stationary Gaussian process priors

  Arno Solin (Speaker)

  8 Feb 2022

  Activity: Talk or presentation types › Invited academic talk

• Gaussian processes

  Arno Solin (Speaker)

  15 Jun 2022

  Activity: Talk or presentation types › Invited academic talk

• Artificial Intelligence (and on being a researcher)

  Arno Solin (Speaker)

  18 Mar 2022

  Activity: Talk or presentation types › Invited academic talk

• Networked Federated Learning

  Alex Jung (Speaker)

  2022

  Activity: Talk or presentation types › Invited academic talk

• On practical inference and learning in dynamical systems

  Arno Solin (Speaker)

  16 Aug 2022

  Activity: Talk or presentation types › Invited academic talk

• Gaussian Processes

  Arno Solin (Speaker) & James Hensman (Speaker)

  13 Aug 2022

  Activity: Talk or presentation types › Invited academic talk

• Networked Federated Learning

  Alex Jung (Speaker)

  16 Nov 2022

  Activity: Talk or presentation types › Invited academic talk

• Human-in-the-loop machine learning

  Samuel Kaski (Speaker)

  10 Feb 2021

  Activity: Talk or presentation types › Invited academic talk

• Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels

  Mohammadreza Mohammadnia Qaraei (Speaker), Erik Schultheis (Contributor) & Rohit Babbar (Contributor)

  4 Nov 2021

  Activity: Talk or presentation types › Invited academic talk

• An unholy alliance: Probabilistic priors for deep vision

  Arno Solin (Speaker)

  11 Feb 2021

  Activity: Talk or presentation types › Invited academic talk

• What kind of solutions to SDEs should we care about in ML?

  Arno Solin (Speaker)

  7 Jun 2021

  Activity: Talk or presentation types › Invited academic talk

• Pushing the limits of real-time visual-inertial motion estimation

  Arno Solin (Speaker)

  16 Dec 2021

  Activity: Talk or presentation types › Invited academic talk

• Road to data-efficiency: Guiding models with what they don’t know

  Arno Solin (Speaker)

  24 Nov 2021

  Activity: Talk or presentation types › Invited academic talk

• AI in Health and Care

  Samuel Kaski (Speaker)

  12 Jan 2021

  Activity: Talk or presentation types › Invited academic talk

• FCAI

  Samuel Kaski (Speaker)

  2020

  Activity: Talk or presentation types › Invited academic talk