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2020 – today
- 2023
[c4]Kin Kwan Leung, Clayton Rooke, Jonathan Smith, Saba Zuberi, Maksims Volkovs:
Temporal Dependencies in Feature Importance for Time Series Prediction. ICLR 2023- [c3]Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan:
DuETT: Dual Event Time Transformer for Electronic Health Records. MLHC 2023: 403-422 - [i3]Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan:
DuETT: Dual Event Time Transformer for Electronic Health Records. CoRR abs/2304.13017 (2023) - [i2]Linfeng Du, Ji Xin, Alex Labach, Saba Zuberi, Maksims Volkovs, Rahul G. Krishnan:
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting. CoRR abs/2311.18780 (2023) - 2021
- [c2]Jianing Sun, Zhaoyue Cheng, Saba Zuberi, Felipe Pérez, Maksims Volkovs:
HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering. WWW 2021: 593-601 - [i1]Clayton Rooke, Jonathan Smith, Kin Kwan Leung, Maksims Volkovs, Saba Zuberi:
Temporal Dependencies in Feature Importance for Time Series Predictions. CoRR abs/2107.14317 (2021) - 2020
- [c1]Maksims Volkovs, Zhaoyue Cheng, Mathieu Ravaut, Hojin Yang, Kevin Shen, Jin Peng Zhou, Anson Wong, Saba Zuberi, Ivan Zhang, Nick Frosst, Helen Ngo, Carol Chen, Bharat Venkitesh, Stephen Gou, Aidan N. Gomez:
Predicting Twitter Engagement With Deep Language Models. RecSys Challenge 2020: 38-43
Coauthor Index
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