Research Seminar

The research seminar at the Machine Learning section meets roughly once a month to explore topics of interest across the various specializations represented within the research groups. Doctoral and post-doctoral fellows represent the 'prototypical' target audience, but everyone is welcome to participate.

Logistics

The seminar is organized by doctoral fellow Milena Pavlovic (of the BMI research group), supported by an advisory board of fellows Kristine Baluka Hein (DSB), Frank Veenstra (ROBIN), and Vinit Ravishankar (LTG).

Seminar announcements are distributed through the mailing list mls-research-seminar@ifi.uio.no, to which all interested parties are welcome to self-subscribe through the online interface using their institutional email.

Autumn 2021

Date Hour Room Speaker / Topic
Friday, October 8 11.00 - 12.00 Zoom
  • Lonneke Scheffer: "The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires"
  • Vinit Ravishankar: "Studies in few-shot transfer learning"

Spring 2021

Date Hour Room Speaker / Topic
Friday, February 5 11.00 - 12.00 Zoom Anne Solberg, Geir Kjetil Sandve, Johan Pensar: Prior knowledge and inductive bias in machine learning research
Friday, March 5 11.00 - 12.00 Zoom Riccardo De Bin, Andreas Kleppe, Geir Kjetil Sandve: Generalization in machine learning
Friday, April 23 11.00 - 12.00 Zoom Jim Tørresen, Kai Olav Ellefsen, Mats Erling Høvin, Kyrre Glette: Robotics at IFI

Autumn 2020

Date Hour Room Speaker / Topic
Friday, September 25 14.00 - 15.00 Zoom Johan Pensar: Computational Causal Inference with Bayesian Networks
Friday, October 23 14.00 - 15.00 Zoom

Ulysse Côté-Allard : Transfer learning for biosignal-based control systems

Friday, November 27 14.00 - 15.00 Zoom Hubert Ramsauer : Hopfield Networks is All You Need
Friday, December 18 14.00 - 15.00 Zoom Andrey Kutuzov: Contextualized embeddings for semantic change detection: lessons learned

Spring 2020

Date Hour Room Topic (s)
Friday, February 28 14:00 - 15:00 Prologue (OJD-2465)
Friday, May 22 14:00 - 15:00 Zoom Gabriel Balaban: Causality and confounder analysis in machine learning
Friday, June 5 14:00 - 15:00 Zoom Kristine Baluka HeinInterpretability and explainability in machine learning
Friday, June 19 14:00 - 15:00 Zoom Vinit Ravishankar: Transformers

Other seminars

The following list includes other machine learning-related events at the section and the university that are not part of the main seminar series but could be of interest to the same audience.

Date Hour Location Topic Material
Thursday, September 30, 2021 10:00 - 11:00 Zoom Journal club: disentanglement and independent components in connection with generative models, led by Ping-Han Hsieh

Papers:

Other relevant pages:

 

Published Feb. 29, 2020 3:04 PM - Last modified Nov. 22, 2022 11:16 AM