TorchAxf: Enabling Rapid Simulation of Approximate DNN Models Using GPU-Based Floating-Point Computing Framework. - Myeongjin Kwak; Jeonggeun Kim; Yongtae Kim (MASCOTS, 2023)

A comprehensive exploration of approximate DNN models with a novel floating-point simulation framework. - Myeongjin Kwak; Jeonggeun Kim; Yongtae Kim (Perform. Evaluation, 2024)

Accuracy Performance Analysis of Quantized DNN Models Using Approximate 4-2 Compressor Based Multipliers. - Seokhyeon Lee; Jeonggeun Kim; Yongtae Kim (ICAIIC, 2025)