NF
Nicholas J. Fraser
cs.CVcs.LGcs.AIcs.AReess.SPhep-exphysics.data-anphysics.ins-detstat.ML
On Valency
published · living versionsW_6wu3pw8p·v1 · currentpublished
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults
with Ussama Zahid, Giulio Gambardella, Michaela Blott, Kees Vissers
1 version
Preprints & journals
13 papers in the corpus · 2017–2026Signed Symmetric Quantization for Few-Bit Integers2607.08779v1 · Ian Colbert, Eashan Dash, Pablo Monteagudo-Lago et al.2026 · 0 citationsarXiv
Pushing the Limits of Block Rotations in Post-Training Quantization2601.22347v2 · Sai Sanjeet, Ian Colbert, Pablo Monteagudo-Lago et al.2026 · 0 citationsarXiv
Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference2102.11289v2 · Benjamin Hawks, Javier Duarte, Nicholas J. Fraser et al.2021 · 56 citationsFront. AI 4, 94 (2021)
Memory-Efficient Dataflow Inference for Deep CNNs on FPGA2011.07317v1 · Lucian Petrica, Tobias Alonso, Mairin Kroes et al.2020 · 36 citationsarXiv
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults2011.05873v1 · Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser et al.2020 · 52 citationsarXivon Valency
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications2004.03021v1 · Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser et al.2020 · 126 citationsarXiv
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks1809.04570v1 · Michaela Blott, Thomas Preusser, Nicholas Fraser et al.2018 · 31 citationsarXiv
Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic1807.10577v1 · Jiang Su, Nicholas J. Fraser, Giulio Gambardella et al.2018 · 20 citationsarXiv
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks1807.00301v1 · Julian Faraone, Nicholas Fraser, Michaela Blott et al.2018 · 134 citationsarXiv
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic1807.03123v1 · Michaela Blott, Thomas B. Preusser, Nicholas Fraser et al.2018 · 7 citationsarXiv
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines1805.07941v1 · Sean O. Settle, Manasa Bollavaram, Paolo D'Alberto et al.2018 · 20 citationsarXiv
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks1709.06262v2 · Julian Faraone, Nicholas Fraser, Giulio Gambardella et al.2017 · 14 citationsarXiv
Scaling Binarized Neural Networks on Reconfigurable Logic1701.03400v2 · Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella et al.2017 · 54 citationsarXiv
Career total: 35 works. 13 are in this corpus.
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