3 papers
cs.LG2026
Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization
Dara Varam, Mohamed I. Alhajri
Deep learning problems rarely involve objectives that are equal in importance. A primary objective defines the goal, whilst secondary objectives, such as sparsity, compression, or…
cs.LG2026
Neural Network Quantization for Microcontrollers: A Comprehensive Survey of Methods, Platforms, and Applications
Hamza A. Abushahla, Dara Varam, Ariel Justine N. Panopio +1
The deployment of Quantized Neural Networks (QNNs) on resource-constrained edge devices, such as microcontrollers (MCUs), introduces fundamental challenges in balancing model perfo…
cs.LG2025
Low-Bit, High-Fidelity: Optimal Transport Quantization for Flow Matching
Dara Varam, Diaa A. Abuhani, Imran Zualkernan +2
Flow Matching (FM) generative models offer efficient simulation-free training and deterministic sampling, but their practical deployment is challenged by high-precision parameter r…