Photo: Arno Solin
Photo: Arno Solin

Service

Memberships and Committees

In addition to internal committee work at Aalto.

Workshop/Conference Co-Organization

Seminar Series

Session Chair

  • 2022: AISTATS

Area Chair

  • 2024: AISTATS, ICLR
  • 2023: AISTATS, ICML, NeurIPS
  • 2022: AISTATS, NeurIPS
  • 2021: NeurIPS

Program Committee Member

  • 2023: AAAI
  • 2021: AAAI, UAI
  • 2020: AAAI
  • 2019: AAAI

Reviewing

  • 2024: WACV
  • 2023: WACV, CVPR, ICLR
  • 2022: ICML, WACV, JASA, JUQ
  • 2021: AISTATS, ICLR, ICML, IFAC SYSID, NeurIPS
  • 2020: AISTATS, ICML, ICML Workshop selection, Nature Communications, NeurIPS, NeurIPS Workshop selection, SPL, STCO
  • 2019: AISTATS, ICML, ECC, IEEE Access, IEEE Sensors, NeurIPS,
  • 2018: AISTATS, FUSION, IROS, JMLR, NeurIPS
  • 2017: AISTATS, Automatica, JMLR, Sensors
  • 2016: AISTATS, IEEE TKDE
  • 2015: AISTATS, NIPS, IEEE SPL
  • 2014: AISTATS, Automatica, NIPS
  • 2013: IEEE SMC-C, IEEE TAC, IEEE Signal Processing
  • 2012: IEEE ACC

I also review grant proposals (e.g., for national funding agencies).

Mentoring

  • 2022: ICLR Reviewer Mentorship Program

Opponent/Examiner/Dissertation Committee Member

  • Martin Jørgensen (2020). “Stochastic Representations with Gaussian Processes and Geometry”. PhD thesis at Technical University of Denmark. Supervised by Prof. Søren Hauberg.
  • Jarrad Courts (2021). “State and Parameter Estimation for Nonlinear State-Space Models using Variational Inference”. PhD thesis at University of Newcastle, Australia. Supervised by Prof. Adrian Wills and Dr. Christopher Renton.
  • Anton Kullberg (2021). “On Joint State Estimation and Model Learning using Gaussian Process Approximations”. Licentiate Thesis at University of Linköping, Sweden. Supervised by Prof. Gustaf Hendeby and Prof. Isaac Skog.
  • Théo Galy-Fajou (2022). “Latent Variable Augmentation for Approximate Bayesian Inference – Applications for Gaussian Processes”. PhD thesis at Technical University of Berlin, Germany. Supervised by Prof. Manfred Opper.
  • James Thornton (2023). “Optimal Transport Based Simulation Methods for Deep Probabilistic Models”. PhD thesis at University of Oxford, UK. Supervised by Prof. George Deligiannidis and Prof. Arnaud Doucet.