Machine Learning and Data Science (MLDS) Unit

In the machine learning and data science (MLDS) unit, we focus on developing fundamental machine learning algorithms and solving important scientific problems using machine learning. We are currently interested in statistical modeling for high-dimensional data including kernel and deep learning models and geometric machine learning algorithms, including graph neural networks (GNN) and optimal transport problems. In addition to developing ML models, we focus on developing new machine learning methods to automatically find a new scientific discoveries from data.

Hiring

  • OIST is currently looking for 10 faculties!
    OIST employs the high-trust funding model and the funding support is quite generous (the funding for students is supported from the graduate school and we can have a certain amount of budget each year). This can be renewed by unit review. Thus, you can concentrate on your research and less pressure to get funds (of course, it is highly encouraged to apply). 

    I am really looking forward to having more machine learning/NLP/CV researchers at OIST!!! If you are interested in the position and would like to learn more, please feel free to contact me (makoto.yamada (at) oist.jp). I can talk about the pros and cons of OIST.
  • MLDS Visiting Research Scholar Program in 2024! Deadline is November 15th 2023.
  • Machine Learning Summer School (MLSS) 2024 at OIST!  

News

Sep/22nd/2023 A distributed learning paper is accepted by NeurIPS! 
Sep/21st/2023 Momentum tracking paper is accepted by TMLR!
Sep/11th/2023 Explainable AI paper by Mohammad is accepted by ACML!
Aug/18th/2023 Communication efficient distributed learning paper is accepted by IEEE Transactions on Signal and Information Processing over Networks!
April/8th/2023 Deep learning based feature selection paper is accepted by IJCNN 2023! 
April/3rd/2023 One optimal transport application paper is accepted by IGARSS 2023!
April/1st/2023 Mohammad has joined our unit!
March/24th/2023 One paper is accepted by IEEE TNNLS!
Jan/21st/2023 Two papers are accepted from the MLDS unit by ICLR 2023! 
Jan/20th/2023 One paper is accepted from the MLDS unit by AISTATS 2023! 
Dec/21st/2022 The lecture video of Prof. Arora are now available here!