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
![Zhang Keli](images/keli.jpg)
Keli Zhang
Principal research engineer
![Malik Tiomoko](images/malik.jpg)
Malik Tiomoko
Senior research engineer
![Vasilii Feofanov](images/vasilii.jpg)
Vasilii Feofanov
Senior research engineer
![Ievgen Redko](images/ievgen.jpg)
Ievgen Redko
Team lead
![Romain Ilbert](images/romain.jpg)
Romain Ilbert
Ph.D. student
![Ambroise Odonnat](images/ambroise.jpg)
Ambroise Odonnat
Ph.D. student
![Oussama Zekri](images/oussama.jpg)
Oussama Zekri
Master's intern (ENS)
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.