Ievgen Redko

Principal research scientist at Huawei, Noah's Ark Lab. Ph.D. in Computer Science/Machine Learning, HDR. Previously, visiting researcher at Aalto University and Finnish Center for Artificial Intelligence working in the Intelligent Robotics group. Before that I was at University Jean Monnet in Saint-Etienne and INSA Lyon working on fundamental machine learning with applications in health-related areas.

My main areas of interest are transfer learning, optimal transport and their real-world applications.

Recent news

13 Jul 2022 » I successefully defended my HDR!
03 Jul 2022 » One paper on few-shot learning and multi-task learning accepted to ECCV'22 conference.
15 May 2022 » One paper accepted to EUSIPCO'22 conference.
08 Feb 2021 » ACL'21 reviewing mentoring tutorial video on Youtube.
22 Jan 2021 » Two papers accepted to AISTATS'21 conference.
24 Nov 2020 » A talk ''Deep Neural Networks are Congestion Games'' at the seminar of INRIA's TAU team.
26 Sep 2020 » Paper accepted to NeurIPS'20 conference.
13 May 2020 » Two papers on optimal transport accepted to ICML'2020!
27 Apr 2020 » ArXiv of our recently published book on domain adaptation theory.
04 Sep 2019 » I am one of the 400 best reviewers at NeurIPS this year.
27 Jun 2019 » Paper accepted to Machine Learning journal.
23 Dec 2018 » Paper accepted to AISTATS'19 conference.