Understanding and Overcoming the Challenges of Efficient Transformer Quantization. - Yelysei Bondarenko; Markus Nagel; Tijmen Blankevoort (EMNLP (1), 2021)

A White Paper on Neural Network Quantization. - Markus Nagel; Marios Fournarakis; Rana Ali Amjad; Yelysei Bondarenko; Mart van Baalen; Tijmen Blankevoort (CoRR, 2021)

Overcoming Oscillations in Quantization-Aware Training. - Markus Nagel; Marios Fournarakis; Yelysei Bondarenko; Tijmen Blankevoort (ICML, 2022)

Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing. - Yelysei Bondarenko; Markus Nagel; Tijmen Blankevoort (NeurIPS, 2023)

Low-Rank Quantization-Aware Training for LLMs. - Yelysei Bondarenko; Riccardo Del Chiaro; Markus Nagel (CoRR, 2024)

FPTQuant: Function-Preserving Transforms for LLM Quantization. - Boris van Breugel; Yelysei Bondarenko; Paul N. Whatmough; Markus Nagel (CoRR, 2025)