Gallium-Based Thin Films for Wearable Human Motion Sensors. - Laurent Dejace; Nathan Laubeuf; Ivan Furfaro; Stéphanie P. Lacour (Adv. Intell. Syst., 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)

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 (IJCNN, 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 (ISCAS, 2021)

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 (SEC, 2022)

Analog Compute in Memory and Breaking Digital Number Representations. - Nathan Laubeuf (VLSI-SoC, 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)

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)

Adaptive Block-Scaled GeMMs on Vector Processors for DNN Training at the Edge. - Nitish Satya Murthy; Nathan Laubeuf; Debjyoti Bhattacharjee; Francky Catthoor; Marian Verhelst (VLSI-SoC, 2024)

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO. - Jonas Svedas; Hannah Watson; Nathan Laubeuf; Diksha Moolchandani; Abubakr Nada; Arjun Singh; Dwaipayan Biswas; James Myers; Debjyoti Bhattacharjee (CoRR, 2025)