Jacob Fein-Ashley

According to our database, Jacob Fein-Ashley authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning.

Dhruv Parikh, Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna

CoRR, January, 2025

2024

Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback.

Jacob Fein-Ashley

CoRR, 2024

Diffusion Models with Anisotropic Gaussian Splatting for Image Inpainting.

Jacob Fein-Ashley, Benjamin Fein-Ashley

CoRR, 2024

HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean Space.

Jacob Fein-Ashley, Ethan Feng, Minh Pham

CoRR, 2024

Studying the Effects of Self-Attention on SAR Automatic Target Recognition.

Jacob Fein-Ashley, Rajgopal Kannan, Viktor K. Prasanna

CoRR, 2024

A Comparison of Traditional and Deep Learning Methods for Parameter Estimation of the Ornstein-Uhlenbeck Process.

Jacob Fein-Ashley

CoRR, 2024

2023

Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition.

Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023