Analog encoded neural network for power management in MPSoC. - Benoit Larras; Bartosz Boguslawski; Cyril Lahuec; Matthieu Arzel; Fabrice Seguin; Frédéric Heitzmann (NEWCAS, 2013)

Storing non-uniformly distributed messages in networks of neural cliques. - Bartosz Boguslawski; Vincent Gripon; Fabrice Seguin; Frédéric Heitzmann (CoRR, 2013)

Huffman Coding for Storing Non-Uniformly Distributed Messages in Networks of Neural Cliques. - Bartosz Boguslawski; Vincent Gripon; Fabrice Seguin; Frédéric Heitzmann (AAAI, 2014)

Compact interconnect approach for networks of neural cliques using 3D technology. - Bartosz Boguslawski; Hossam Sarhan; Frédéric Heitzmann; Fabrice Seguin; Sébastien Thuries; Olivier Billoint; Fabien Clermidy (VLSI-SoC, 2015)

Energy-Efficient Associative Memory Based on Neural Cliques. - Bartosz Boguslawski; Frédéric Heitzmann; Benoit Larras; Fabrice Seguin (IEEE Trans. Circuits Syst. II Express Briefs, 2016)

Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques: Applications in Power Management in Electronic Circuits. - Bartosz Boguslawski; Vincent Gripon; Fabrice Seguin; Frédéric Heitzmann (IEEE Trans. Neural Networks Learn. Syst., 2016)

Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings. - Aymane Abdali; Vincent Gripon; Lucas Drumetz; Bartosz Boguslawski (CoRR, 2022)

Active Learning for Efficient Few-Shot Classification. - Aymane Abdali; Vincent Gripon; Lucas Drumetz; Bartosz Boguslawski (ICASSP, 2023)

Anomalous Samples for Few-Shot Anomaly Detection. - Aymane Abdali; Bartosz Boguslawski; Lucas Drumetz; Vincent Gripon (CoRR, 2025)