Andrew Margenot

According to our database, Andrew Margenot authored at least 5 papers between 2020 and 2023.

Collaborative distances:

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

2023

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders.

Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Retrieval Based Time Series Forecasting.

Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong

CoRR, 2022

Deep Active Learning by Leveraging Training Dynamics.

Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Deep Active Learning by Leveraging Training Dynamics.

Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He

CoRR, 2021

2020

Predicting soil permanganate oxidizable carbon (POXC) by coupling DRIFT spectroscopy and artificial neural networks (ANN).

Andrew Margenot, Terry O'Neill, Rolf Sommer, Venkatesh Akella

Comput. Electron. Agric., 2020