| 2026 | SmartComp | Dynamic Cluster-Head Rotation for Energy-Aware Predictive Wireless Sensor Networks. | Imourane Abdoulaye, Dorian Diana, Laurent Rodriguez, Ccile Belleudy, Benot Miramond |
| 2025 | ICDM | BrAMA: A Data-Efficient Brain-Inspired Architecture for Semi-Supervised Multi-Modal Association. | Jonathan Grienay, Marina Reyboz, Martial Mermillod, Laurent Rodriguez, Benot Miramond |
| 2025 | IJCNN | Cross-Modal Neuromorphic Semantic Segmentation based on Knowledge Distillation. | Dalia Hareb, Jean Martinet, Benot Miramond |
| 2024 | ICANN | On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks. | Thomas Louis, Alain Pegatoquet, Benot Miramond, Adrien Girard |
| 2024 | IJCNN | Embedded event based object detection with spiking neural network. | Jonathan Courtois, Pierre-Emmanuel Novac, Edgar Lemaire, Alain Pegatoquet, Benot Miramond |
| 2023 | IJCNN | Time series prediction and anomaly detection with recurrent spiking neural networks. | Yann Cherdo, Benot Miramond, Alain Pegatoquet |
| 2023 | IJCNN | Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model. | Artem R. Muliukov, Laurent Rodriguez, Benot Miramond |
| 2022 | ICONIP | An Analytical Estimation of Spiking Neural Networks Energy Efficiency. | Edgar Lemaire, Loc Cordone, Andrea Castagnetti, Pierre-Emmanuel Novac, Jonathan Courtois, Benot Miramond |
| 2022 | IJCNN | SPLEAT: SPiking Low-power Event-based ArchiTecture for in-orbit processing of satellite imagery. | Nassim Abderrahmane, Benot Miramond, Erwann Kervennic, Adrien Girard |
| 2022 | IJCNN | Object Detection with Spiking Neural Networks on Automotive Event Data. | Loc Cordone, Benot Miramond, Philippe Thirion |
| 2021 | IJCNN | Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks. | Loc Cordone, Benot Miramond, Sonia Ferrante |
| 2020 | DSD | Toward unsupervised Human Activity Recognition on Microcontroller Units. | Pierre-Emmanuel Novac, Andrea Castagnetti, Adrien Russo, Benot Miramond, Alain Pegatoquet, Franois Verdier |
| 2020 | ICONIP | GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning. | Lyes Khacef, Vincent Gripon, Benot Miramond |
| 2020 | ICONIP | Improving Self-Organizing Maps with Unsupervised Feature Extraction. | Lyes Khacef, Laurent Rodriguez, Benot Miramond |
| 2020 | IJCNN | Neural coding: adapting spike generation for embedded hardware classification. | Nassim Abderrahmane, Benot Miramond |
| 2020 | ISCAS | An FPGA-Based Hybrid Neural Network Accelerator for Embedded Satellite Image Classification. | Edgar Lemaire, Matthieu Moretti, Lionel Daniel, Benot Miramond, Philippe Millet, Frdric Feresin, Sbastien Bilavarn |
| 2019 | DSD | Information Coding and Hardware Architecture of Spiking Neural Networks. | Nassim Abderrahmane, Benot Miramond |
| 2019 | IJCNN | Self-organizing neurons: toward brain-inspired unsupervised learning. | Lyes Khacef, Benot Miramond, Diego Barrientos, Andres Upegui |
| 2018 | ANT | Energy Saving in a Wireless Sensor Network by Data Prediction by using Self-Organized Maps. | Adrien Russo, Franois Verdier, Benot Miramond |
| 2018 | IJCNN | Confronting machine-learning with neuroscience for neuromorphic architectures design. | Lyes Khacef, Nassim Abderrahmane, Benot Miramond |
| 2008 | RSP | Dynamic Adaptation of Hardware-Software Scheduling for Reconfigurable System-on-Chip. | Fakhreddine Ghaffari, Benot Miramond, Franois Verdier |
| 2005 | DATE | Design Space Exploration for Dynamically Reconfigurable Architectures. | Benot Miramond, Jean-Marc Delosme |
| 2005 | ETFA | Decision guide environment for design space exploration. | Benot Miramond, Jean-Marc Delosme |