Service

ELLIS Scholar (2021–)
Theory, Algorithms and Computations of Modern Learning Systems
European Laboratory for Learning and Intelligent Systems (ELLIS)
Coordinating Professor (2020–)
Next-generation Data-efficient Deep Learning Research Program
Finnish Center for Artificial Intelligence (FCAI)
Member (for the term 2021–2025)
Young Academy Finland
Aalto/FCAI Representative (2020–)
NVAITC Technical Committee
NVIDIA AI Technology Center Finland
AML Track Co-Chair (2021–)
HICT Steering Group
The Helsinki Doctoral Education Network in Information and Communications Technology

In addition to internal committee work at Aalto.

Organizer (2023)
ICCV Workshop on Uncertainty Quantification for Computer Vision (UNCV)
Part of International Conference on Computer Vision (ICCV).
October 3, 2023; Paris, France.
Peer-reviewed papers published in the ICCV Workshop Proceedings.
Responsible Faculty (2023)
ELLIS Doctoral Symposium (EDS 2023)
The annual symposium is the highlight of the year in the ELLIS PhD Program.
August 28 to September 1, 2023; Espoo, Finland.
Hosted by Aalto University and ELLIS Unit Helsinki.
Organizer (2022)
ECCV Workshop on Uncertainty Quantification for Computer Vision (UNCV)
Part of European Conference on Computer Vision (ECCV).
October 23, 2022; Tel Aviv, Israel.
Peer-reviewed papers published in the ECCV Workshop Proceedings.
Publicity Chair (2020)
The 30th IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
Annual event organized by the IEEE Signal Processing Society MLSP Technical Committee. September 21–24, 2020; Espoo, Finland (in the end virtual due to pandemic).
Peer-reviewed papers published by the IEEE.

Seminar on Advances in Probabilistic Machine Learning (2021–)
Aalto University and ELLIS unit Helsinki Seminar on Advances in Probabilistic Machine Learning

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).

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.