| Fq-conv: Fully quantized convolution for efficient and accurate inference BE Verhoef, N Laubeuf, S Cosemans, P Debacker, I Papistas, A Mallik, ... arXiv preprint arXiv:1912.09356, 2019 | 20 | 2019 |
| Design-technology space exploration for energy efficient AiMC-based inference acceleration D Bhattacharjee, N Laubeuf, S Cosemans, I Papistas, A Maliik, ... 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 10 | 2021 |
| Dynamic quantization range control for analog-in-memory neural networks acceleration N Laubeuf, J Doevenspeck, IA Papistas, M Caselli, S Cosemans, ... ACM Transactions on Design Automation of Electronic Systems (TODAES) 27 (5 …, 2022 | 5 | 2022 |
| Noise tolerant ternary weight deep neural networks for analog in-memory inference J Doevenspeck, P Vrancx, N Laubeuf, A Mallik, P Debacker, D Verkest, ... 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 4 | 2021 |
| Novel memory devices tailored to analog in-memory computing for neural network inference S Cosemans, J Doevenspeck, B Verhoef, I Papistas, N Laubeuf, ... | 1 | 2020 |
| Computer implemented method for transforming a pre trained neural network and a device therefor N Laubeuf, D Bhattacharjee, P Vrancx US Patent App. 18/228,153, 2024 | | 2024 |
| AIMC Modeling and Parameter Tuning for Layer-Wise Optimal Operating Point in DNN Inference I Dadras, GM Sarda, N Laubeuf, D Bhattacharjee, A Mallik Ieee Access, 2023 | | 2023 |
| Learn to Learn on Chip: Hardware-aware Meta-learning for Quantized Few-shot Learning at the Edge NS Murthy, P Vrancx, N Laubeuf, P Debacker, F Catthoor, M Verhelst 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 14-25, 2022 | | 2022 |
| Analog Compute in Memory and Breaking Digital Number Representations N Laubeuf 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration …, 2022 | | 2022 |
