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.


We will organize the Machine Learning Summer School (MLSS) 2024 at OIST

April/8th/2023 Deep leaning 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!