Nathan Laubeuf

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Human Movements

Motion Synthesis

Space Exploration

Top Venues

Adv. Intell. Syst.

Publications

Iman Dadras, Giuseppe Maria Sarda, Nathan Laubeuf, Debjyoti Bhattacharjee, Arindam Mallik
AIMC Modeling and Parameter Tuning for Layer-Wise Optimal Operating Point in DNN Inference. IEEE Access 11 (2023)
Nathan Laubeuf
Analog Compute in Memory and Breaking Digital Number Representations. VLSI-SoC (2022)
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
Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration. ACM Trans. Design Autom. Electr. Syst. 27 (5) (2022)
Nitish Satya Murthy, Peter Vrancx, Nathan Laubeuf, Peter Debacker, Francky Catthoor, Marian Verhelst
Learn to Learn on Chip: Hardware-aware Meta-learning for Quantized Few-shot Learning at the Edge. SEC (2022)
Debjyoti Bhattacharjee, Nathan Laubeuf, Stefan Cosemans, Ioannis A. Papistas, Arindam Mallik, Peter Debacker, Myung Hee Na, Diederik Verkest
Design-Technology Space Exploration for Energy Efficient AiMC-Based Inference Acceleration. ISCAS (2021)
Jonas Doevenspeck, Peter Vrancx, Nathan Laubeuf, Arindam Mallik, Peter Debacker, Diederik Verkest, Rudy Lauwereins, Wim Dehaene
Noise tolerant ternary weight deep neural networks for analog in-memory inference. IJCNN (2021)
Laurent Dejace, Nathan Laubeuf, Ivan Furfaro, Stéphanie P. Lacour
Gallium-Based Thin Films for Wearable Human Motion Sensors. Adv. Intell. Syst. 1 (5) (2019)
Laurent Dejace, Nathan Laubeuf, Ivan Furfaro, Stéphanie P. Lacour
Gallium-Based Thin Films for Wearable Human Motion Sensors. Adv. Intell. Syst. 1 (5) (2019)
Bram-Ernst Verhoef, Nathan Laubeuf, Stefan Cosemans, Peter Debacker, Ioannis A. Papistas, Arindam Mallik, Diederik Verkest
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference. CoRR (2019)