Adrien Weihs

According to our database, Adrien Weihs authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

Multiple Neural Operators Achieve Near-Optimal Rates for Multi-Task Learning.

Adrien Weihs, Hayden Schaeffer

CoRR, May, 2026

Generalization Bounds and Statistical Guarantees for Multi-Task and Multiple Operator Learning with MNO Networks.

Adrien Weihs, Hayden Schaeffer

CoRR, April, 2026

2025

Higher-Order Regularization Learning on Hypergraphs.

Adrien Weihs, Andrea L. Bertozzi, Matthew Thorpe

CoRR, October, 2025

Topology-Aware Active Learning on Graphs.

Harris Hardiman-Mostow, Jack Mauro, Adrien Weihs, Andrea L. Bertozzi

CoRR, October, 2025

A Deep Learning Framework for Multi-Operator Learning: Architectures and Approximation Theory.

Adrien Weihs, Jingmin Sun, Zecheng Zhang, Hayden Schaeffer

CoRR, October, 2025

Analysis of Semi-Supervised Learning on Hypergraphs.

Adrien Weihs, Andrea L. Bertozzi, Matthew Thorpe

CoRR, October, 2025

Mobile Sensor Placement for the 3-Coverage Problem in Confined Geometries.

Haoyang Lyu, William Chang, Adrien Weihs, Andrea L. Bertozzi, P. Jeffrey Brantingham

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

Consistency of Fractional Graph-Laplacian Regularization in Semisupervised Learning with Finite Labels.

Adrien Weihs, Matthew Thorpe

SIAM J. Math. Anal., 2024

2023

Discrete-to-Continuum Rates of Convergence for $p$-Laplacian Regularization.

Adrien Weihs, Jalal Fadili, Matthew Thorpe

CoRR, 2023

Material Identification in Complex Environments: Neural Network Approaches to Hyperspectral Image Analysis.

Jason Brown, Bohan Chen, Harris Hardiman-Mostow, Adrien Weihs, Andrea L. Bertozzi, Jocelyn Chanussot

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

2021

Intensity-Based Wasserstein Distance As A Loss Measure For Unsupervised Deformable Deep Registration.

Roozbeh Shams, William Le, Adrien Weihs, Samuel Kadoury

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021