Ghouthi Boukli Hacene

40 papers A* 1B 1C 2Misc 1Journal 26Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	D5P4: Partition Determinantal Point Process for Diversity in Parallel Discrete Diffusion Decoding. CoRR Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2026	J	`jnl`	Inner Loop Inference for Pretrained Transformers: Unlocking Latent Capabilities Without Training. CoRR Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2026	J	`jnl`	Residual Connections and the Causal Shift: Uncovering a Structural Misalignment in Transformers. CoRR Jonathan Lys, Vincent Gripon, Bastien Pasdeloup, Axel Marmoret, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2025	J	`jnl`	A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. Trans. Mach. Learn. Res. Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
2025	J	`jnl`	GaLLoP: Gradient-based Sparse Learning on Low-Magnitude Parameters. CoRR Anand Choudhary, Yasser Sulaiman, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Antoine Bosselut
2024	J	`jnl`	A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. CoRR Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
2024	—	`conf`	Analyzing Few-Shot Neural Architecture Search in a Metric-Driven Framework. AutoML Timotée Ly-Manson, Mathieu Léonardon, Abdeldjalil Aïssa-El-Bey, Ghouthi Boukli Hacene, Lukas Mauch
2024	C	`conf`	BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. ISCAS Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
2024	J	`jnl`	LLM meets Vision-Language Models for Zero-Shot One-Class Classification. CoRR Yassir Bendou, Giulia Lioi, Bastien Pasdeloup, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Vincent Gripon
2024	J	`jnl`	SKILL: Similarity-aware Knowledge distILLation for Speech Self-Supervised Learning. CoRR Luca Zampierin, Ghouthi Boukli Hacene, Bac Nguyen, Mirco Ravanelli
2024	—	`conf`	Skill: Similarity-Aware Knowledge Distillation for Speech Self-Supervised Learning. ICASSP Workshops Luca Zampierin, Ghouthi Boukli Hacene, Bac Nguyen, Mirco Ravanelli
2023	—	`conf`	A Statistical Model for Predicting Generalization in Few-Shot Classification. EUSIPCO Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
2023	J	`jnl`	Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning. CoRR Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene
2023	J	`jnl`	ThinResNet: A New Baseline for Structured Convolutional Networks Pruning. CoRR Hugo Tessier, Ghouthi Boukli Hacene, Vincent Gripon
2022	J	`jnl`	A Statistical Model for Predicting Generalization in Few-Shot Classification. CoRR Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
2021	J	`jnl`	DNN Quantization with Attention. CoRR Ghouthi Boukli Hacene, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux
2021	J	`jnl`	Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization. CoRR Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene
2021	A*	`conf`	Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization. AAAI Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene
2021	J	`jnl`	Quantization and Deployment of Deep Neural Networks on Microcontrollers. CoRR Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
2021	J	`jnl`	Quantization and Deployment of Deep Neural Networks on Microcontrollers. Sensors Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
2020	B	`conf`	Attention Based Pruning for Shift Networks. ICPR Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio
2020	J	`jnl`	BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. CoRR Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon, Andreas Moshovos
2020	J	`jnl`	DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems. CoRR Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene
2020	Misc	`conf`	Deep Geometric Knowledge Distillation with Graphs. ICASSP Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2020	—	`conf`	Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks. NEWCAS Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
2020	J	`jnl`	ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget. CoRR Guillaume Coiffier, Ghouthi Boukli Hacene, Vincent Gripon
2019	J	`jnl`	Attention Based Pruning for Shift Networks. CoRR Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio
2019	J	`jnl`	Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. J. Signal Process. Syst. Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2019	J	`jnl`	Deep geometric knowledge distillation with graphs. CoRR Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019	J	`jnl`	Efficient Hardware Implementation of Incremental Learning and Inference on Chip. CoRR Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2019	—	`conf`	Introducing Graph Smoothness Loss for Training Deep Learning Architectures. DSW Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019	J	`jnl`	Introducing Graph Smoothness Loss for Training Deep Learning Architectures. CoRR Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019	—	`—`	Processing and learning deep neural networks on chip. (Traitement et apprentissage des réseaux de neurones profonds sur puce). Ghouthi Boukli Hacene
2019	C	`conf`	Training Modern Deep Neural Networks for Memory-Fault Robustness. ISCAS Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
2019	J	`jnl`	Training Modern Deep Neural Networks for Memory-Fault Robustness. CoRR Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
2018	J	`jnl`	Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks. CoRR Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
2018	J	`jnl`	Transfer Incremental Learning using Data Augmentation. CoRR Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2017	—	`conf`	Budget restricted incremental learning with pre-trained convolutional neural networks and binary associative memories. SiPS Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2017	—	`conf`	Incremental learning on chip. GlobalSIP Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2017	—	`conf`	Large-Scale Memory of Sequences Using Binary Sparse Neural Networks on GPU. HPCS Max Raphael Sobroza Marques, Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Pierre-Henri Horrein