Nicholas Fraser

Identifiers

• name variant Nicholas Fraser 0.60 · backfill

Papers (8)

1. Optimal Post-Training Quantization Scales and Where to Find Them cs.LG · 2026 · author #5
2. dMX: Differentiable Mixed-Precision Assignment for Low-Precision Floating-Point Formats cs.LG · 2026 · author #5
3. FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks cs.AR · 2018 · author #3
4. SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks cs.CV · 2018 · author #2
5. Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic cs.CV · 2018 · author #3
6. Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices cs.NE · 2018 · author #3
7. Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines cs.LG · 2018 · author #6
8. Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks cs.CV · 2017 · author #2

Mentions

• 2606.10890 #5 · arxiv_oai · confidence 0.70 Nicholas Fraser
• 2606.04115 #5 · arxiv_oai · confidence 0.70 Nicholas Fraser

Frequent Coauthors

• Michaela Blott 5 shared papers
• Giulio Gambardella 4 shared papers
• Giuseppe Franco 2 shared papers
• Ian Colbert 2 shared papers
• Julian Faraone 2 shared papers
• Pablo Monteagudo-Lago 2 shared papers
• Philip H.W. Leong 2 shared papers
• Yaman Umuroglu 2 shared papers
• Aaron Ng 1 shared papers
• Ashish Sirasao 1 shared papers
• Elliott Delaye 1 shared papers
• Felix Marty 1 shared papers
• Juan Amboage 1 shared papers
• Kenneth O'Brien 1 shared papers
• Kenneth OBrien 1 shared papers
• Manasa Bollavaram 1 shared papers
• Michael Wu 1 shared papers
• Miriam Leeser 1 shared papers
• Oscar Fernandez 1 shared papers
• Paolo D'Alberto 1 shared papers