Nathan Laubeuf

According to our database, Nathan Laubeuf authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AIMC Modeling and Parameter Tuning for Layer-Wise Optimal Operating Point in DNN Inference.

Iman Dadras, Giuseppe Maria Sarda, Nathan Laubeuf, Debjyoti Bhattacharjee, Arindam Mallik

IEEE Access, 2023

2022

Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration.

Nathan Laubeuf, Jonas Doevenspeck, Ioannis A. Papistas, Michele Caselli, Stefan Cosemans, Peter Vrancx, Debjyoti Bhattacharjee, Arindam Mallik, Peter Debacker, Diederik Verkest, Francky Catthoor, Rudy Lauwereins

ACM Trans. Design Autom. Electr. Syst., 2022

Analog Compute in Memory and Breaking Digital Number Representations.

Nathan Laubeuf

Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022

Learn to Learn on Chip: Hardware-aware Meta-learning for Quantized Few-shot Learning at the Edge.

Nitish Satya Murthy, Peter Vrancx, Nathan Laubeuf, Peter Debacker, Francky Catthoor, Marian Verhelst

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2021

Design-Technology Space Exploration for Energy Efficient AiMC-Based Inference Acceleration.

Debjyoti Bhattacharjee, Nathan Laubeuf, Stefan Cosemans, Ioannis A. Papistas, Arindam Mallik, Peter Debacker, Myung Hee Na, Diederik Verkest

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Noise tolerant ternary weight deep neural networks for analog in-memory inference.

Jonas Doevenspeck, Peter Vrancx, Nathan Laubeuf, Arindam Mallik, Peter Debacker, Diederik Verkest, Rudy Lauwereins, Wim Dehaene

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference.

Bram-Ernst Verhoef, Nathan Laubeuf, Stefan Cosemans, Peter Debacker, Ioannis A. Papistas, Arindam Mallik, Diederik Verkest

CoRR, 2019

Gallium-Based Thin Films for Wearable Human Motion Sensors.

Laurent Dejace, Nathan Laubeuf, Ivan Furfaro, Stéphanie P. Lacour

Adv. Intell. Syst., 2019