Jacob Fein-Ashley

14 papers B 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bridging Hidden States in Vision-Language Models.
CoRR
Benjamin Fein-Ashley, Jacob Fein-Ashley
2025 J jnl
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning.
CoRR
Dhruv Parikh, Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna
2025 J jnl
Iterate to Accelerate: A Unified Framework for Iterative Reasoning and Feedback Convergence.
CoRR
Jacob Fein-Ashley
2025 J jnl
Linear Diffusion Networks.
CoRR
Jacob Fein-Ashley
2025 J jnl
Mixture of Thoughts: Learning to Aggregate What Experts Think, Not Just What They Say.
CoRR
Jacob Fein-Ashley, Dhruv Parikh, Rajgopal Kannan, Viktor K. Prasanna
2025 J jnl
The FFT Strikes Back: An Efficient Alternative to Self-Attention.
CoRR
Jacob Fein-Ashley
2024 J jnl
A Comparison of Traditional and Deep Learning Methods for Parameter Estimation of the Ornstein-Uhlenbeck Process.
CoRR
Jacob Fein-Ashley
2024 B conf
A Single Graph Convolution is All You Need: Efficient Grayscale Image Classification.
ICIP
Jacob Fein-Ashley, Sachini Wickramasinghe, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna
2024 J jnl
Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down Feedback.
CoRR
Jacob Fein-Ashley
2024 J jnl
Diffusion Models with Anisotropic Gaussian Splatting for Image Inpainting.
CoRR
Jacob Fein-Ashley, Benjamin Fein-Ashley
2024 J jnl
HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean Space.
CoRR
Jacob Fein-Ashley, Ethan Feng, Minh Pham
2024 J jnl
Studying the Effects of Self-Attention on SAR Automatic Target Recognition.
CoRR
Jacob Fein-Ashley, Rajgopal Kannan, Viktor K. Prasanna
2023 — conf
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition.
HPEC
Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart
2023 J jnl
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition.
CoRR
Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart