3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2026
When Data Imbalance Helps: Robust Generalization Through Shortcut Saturation
Cheng-Ting Chou, Duc Binh Hoang
We study robust generalization under spurious correlations: tasks where a shortcut feature is correlated with the true label in training but anti-correlated in an adversarial held-…
cs.AR2026★ 3 cited
KANELÃ: Kolmogorov-Arnold Networks for Efficient LUT-based Evaluation
Duc Hoang, Aarush Gupta, Philip Harris
Low-latency, resource-efficient neural network inference on FPGAs is essential for applications demanding real-time capability and low power. Lookup table (LUT)-based neural networ…
cs.AR2025
hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware
Jan-Frederik Schulte, Benjamin Ramhorst, Chang Sun +50
We present hls4ml, a free and open-source platform that translates machine learning (ML) models from modern deep learning frameworks into high-level synthesis (HLS) code that can b…