Kevin S. Miller

According to our database, Kevin S. Miller authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

MALADY: Multiclass Active Learning With Auction Dynamics on Graphs.

Gokul Bhusal, Kevin S. Miller, Ekaterina Merkurjev

IEEE Trans. Artif. Intell., January, 2026

2025

Function Spaces Without Kernels: Learning Compact Hilbert Space Representations.

Su Ann Low, Quentin Rommel, Kevin S. Miller, Adam J. Thorpe, Ufuk Topcu

CoRR, September, 2025

CGAP: A Hybrid Contrastive and Graph-Based Active Learning Pipeline to Detect Water and Sediment in Multispectral Images.

Bohan Chen, Kevin S. Miller, Andrea L. Bertozzi, Jon Schwenk

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process.

Kevin S. Miller, Adam J. Thorpe, Ufuk Topcu

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning.

Kevin S. Miller, Jeff Calder

SIAM J. Math. Data Sci., December, 2023

Dirichlet Active Learning.

Kevin S. Miller, Ryan Murray

CoRR, 2023

Graph-Based Active Learning for Surface Water and Sediment Detection in Multispectral Images.

Bohan Chen, Kevin S. Miller, Andrea L. Bertozzi, Jon Schwenk

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Efficient and Reliable Overlay Networks for Decentralized Federated Learning.

Yifan Hua, Kevin S. Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang

SIAM J. Appl. Math., August, 2022