Welcome to the GTSBrain team of Noah's Ark Lab.

We work on spatio-temporal analysis, transfer learning, causality, and other exciting topics.

Our Team

Recent news

• Our team will present 3 papers at the main track of ICML'24!
• We open-source a simple transformer model that achieves state-of-the-art in time series forecasting!
• Our team has two papers accepted at AISTATS'24! We introduce priors for more efficient transfer learning
  and solve confidence estimation problem in semi-supervised learning under distribution shift.
• We've organized a workshop on time series analysis and transfer learning in Paris Noah's Ark Lab.
• A runner-up for a best paper award at UAI'23 on tensor learning! Paper is available here.
• A paper on computational optimal transport accepted to TMLR! Paper is available here.
• 3 papers on amortized optimization, semi-supervised and multi-task learning are accepted to ICML'23!
• 1 paper on optimal transport for domain adaptation accepted to AAAI'23! Paper is available here.
• 1 paper on continual learning accepted to ICLR'23! Paper is available here.