 Applications and Techniques for Fast Machine Learning in ScienceFrontiers in Big Data (Front. Big Data), 2021 |
 FAT: Training Neural Networks for Reliable Inference Under Hardware
FaultsInternational Test Conference (ITC), 2020 |
 Binary Neural Networks: A SurveyPattern Recognition (Pattern Recognit.), 2020 |
 Unrolling Ternary Neural NetworksACM Transactions on Reconfigurable Technology and Systems (TRETS), 2019 |
 Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks
on Reconfigurable LogicInternational Workshop on Applied Reconfigurable Computing (ARC), 2018 |
 Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey
and Future DirectionsACM Computing Surveys (CSUR), 2018 |
 Fixed-point optimization of deep neural networks with adaptive step size
retrainingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017 |
