Ghouthi Boukli Hacene

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Venues

IMT Atlantique, France (PHD)

Education History

IMT Atlantique, France

PHD

Publications

Yassir Bendou, Giulia Lioi, Bastien Pasdeloup, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Vincent Gripon
LLM meets Vision-Language Models for Zero-Shot One-Class Classification. CoRR (2024)
Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. ISCAS (2024)
Luca Zampierin, Ghouthi Boukli Hacene, Bac Nguyen, Mirco Ravanelli
SKILL: Similarity-aware Knowledge distILLation for Speech Self-Supervised Learning. CoRR (2024)
Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. CoRR (2024)
Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning. CoRR (2023)
Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
A Statistical Model for Predicting Generalization in Few-Shot Classification. EUSIPCO (2023)
Hugo Tessier, Ghouthi Boukli Hacene, Vincent Gripon
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning. CoRR (2023)
Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
A Statistical Model for Predicting Generalization in Few-Shot Classification. CoRR (2022)
Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
Quantization and Deployment of Deep Neural Networks on Microcontrollers. Sensors 21 (9) (2021)
Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization. CoRR (2021)
Ghouthi Boukli Hacene, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux
DNN Quantization with Attention. CoRR (2021)
Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization. AAAI (2021)
Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
Quantization and Deployment of Deep Neural Networks on Microcontrollers. CoRR (2021)
Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. CoRR (2020)
Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene
DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems. CoRR (2020)
Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio
Attention Based Pruning for Shift Networks. ICPR (2020)
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks. NEWCAS (2020)
Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Deep Geometric Knowledge Distillation with Graphs. ICASSP (2020)
Guillaume Coiffier, Ghouthi Boukli Hacene, Vincent Gripon
ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget. CoRR (2020)
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Introducing Graph Smoothness Loss for Training Deep Learning Architectures. CoRR (2019)
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Introducing Graph Smoothness Loss for Training Deep Learning Architectures. DSW (2019)
Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
Training Modern Deep Neural Networks for Memory-Fault Robustness. CoRR (2019)
Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Deep geometric knowledge distillation with graphs. CoRR (2019)
Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio
Attention Based Pruning for Shift Networks. CoRR (2019)
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Efficient Hardware Implementation of Incremental Learning and Inference on Chip. CoRR (2019)
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. J. Signal Process. Syst. 91 (9) (2019)
Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
Training Modern Deep Neural Networks for Memory-Fault Robustness. ISCAS (2019)
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks. CoRR (2018)
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Transfer Incremental Learning using Data Augmentation. CoRR (2018)
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Budget restricted incremental learning with pre-trained convolutional neural networks and binary associative memories. SiPS (2017)
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Incremental learning on chip. GlobalSIP (2017)
Max Raphael Sobroza Marques, Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Pierre-Henri Horrein
Large-Scale Memory of Sequences Using Binary Sparse Neural Networks on GPU. HPCS (2017)

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Publication Activity (10 Years)

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Ghouthi Boukli Hacene