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researcher

Andrew Margenot

3 papers hereh-index 267 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedDeep Active Learning by Leveraging Training Dynamics

8 citations · 12 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors

Jun-Gi Jang, Jingrui He, Andrew Margenot +1

Many real-world data, such as recommendation data and temporal graphs, can be represented as incomplete sparse tensors where most entries are unobserved. For such sparse tensors, i…

cs.AI2022★ 4 cited

Retrieval Based Time Series Forecasting

Baoyu Jing, Si Zhang, Yada Zhu +4

Time series data appears in a variety of applications such as smart transportation and environmental monitoring. One of the fundamental problems for time series analysis is time se…

cs.LG2021★ 8 cited

Deep Active Learning by Leveraging Training Dynamics

Haonan Wang, Wei Huang, Ziwei Wu +3

Active learning theories and methods have been extensively studied in classical statistical learning settings. However, deep active learning, i.e., active learning with deep learni…

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