Seung Eun Yi

According to our database, Seung Eun Yi authored at least 7 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CHMv2: Improvements in Global Canopy Height Mapping using DINOv3.

John Brandt, Seung Eun Yi, Jamie Tolan, Xinyuan Li, Peter Potapov, Jessica Ertel, Justine Spore, Huy V. Vo, Michaël Ramamonjisoa, Patrick Labatut, Piotr Bojanowski, Camille Couprie

CoRR, March, 2026

2025

DINOv3.

Oriane Siméoni, Huy V. Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seung Eun Yi, Michaël Ramamonjisoa, Francisco Massa, Daniel Haziza, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Hervé Jégou, Patrick Labatut, Piotr Bojanowski

CoRR, August, 2025

Scaling Channel-Adaptive Self-Supervised Learning.

Alice V. De Lorenci, Seung Eun Yi, Théo Moutakanni, Piotr Bojanowski, Camille Couprie, Juan C. Caicedo, Wolfgang Maximilian Anton Pernice

Trans. Mach. Learn. Res., 2025

Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy.

Théo Moutakanni, Camille Couprie, Seung Eun Yi, Michael Doron, Zitong Sam Chen, Nikita Moshkov, Elouan Gardes, Mathilde Caron, Hugo Touvron, Armand Joulin, Piotr Bojanowski, Wolfgang M. Pernice, Juan C. Caicedo

PLoS Comput. Biol., 2025

2023

DuETT: Dual Event Time Transformer for Electronic Health Records.

Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan

Proceedings of the Machine Learning for Healthcare Conference, 2023

2020

Confounding Feature Acquisition for Causal Effect Estimation.

Shirly Wang, Seung Eun Yi, Shalmali Joshi, Marzyeh Ghassemi

Proceedings of the Machine Learning for Health Workshop, 2020

2018

A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series.

Thomas Hollis, Antoine Viscardi, Seung Eun Yi

CoRR, 2018