Pierre Stock

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Uniform Quantization

Top Venues

Publications

Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. ACL (Findings) (2024)
Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed
Mixtral of Experts. CoRR (2024)
Ashkan Yousefpour, Shen Guo, Ashish Shenoy, Sayan Ghosh, Pierre Stock, Kiwan Maeng, Schalk-Willem Krüger, Michael Rabbat, Carole-Jean Wu, Ilya Mironov
Green Federated Learning. CoRR (2023)
Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. CoRR (2023)
Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael G. Rabbat
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design. ICML (2023)
Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alexandre Sablayrolles, Pierre Stock
EXACT: Extensive Attack for Split Learning. CoRR (2023)
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed
Mistral 7B. CoRR (2023)
Samuel Maddock, Alexandre Sablayrolles, Pierre Stock
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning. ICLR (2023)
Tom Sander, Pierre Stock, Alexandre Sablayrolles
TAN Without a Burn: Scaling Laws of DP-SGD. ICML (2023)
Karthik Prasad, Sayan Ghosh, Graham Cormode, Ilya Mironov, Ashkan Yousefpour, Pierre Stock
Reconciling Security and Communication Efficiency in Federated Learning. IEEE Data Eng. Bull. 46 (1) (2023)
Tom Sander, Pierre Stock, Alexandre Sablayrolles
TAN without a burn: Scaling Laws of DP-SGD. CoRR (2022)
Samuel Maddock, Alexandre Sablayrolles, Pierre Stock
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning. CoRR (2022)
Karthik Prasad, Sayan Ghosh, Graham Cormode, Ilya Mironov, Ashkan Yousefpour, Pierre Stock
Reconciling Security and Communication Efficiency in Federated Learning. CoRR (2022)
Pierre Stock, Igor Shilov, Ilya Mironov, Alexandre Sablayrolles
Defending against Reconstruction Attacks with Rényi Differential Privacy. CoRR (2022)
Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Mike Rabbat
The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning. CoRR (2022)
Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
Training with Quantization Noise for Extreme Model Compression. ICLR (2021)
Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. CoRR (2021)
Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. ICCV (2021)
Maxime Oquab, Pierre Stock, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie
Low Bandwidth Video-Chat Compression Using Deep Generative Models. CVPR Workshops (2021)
Pierre Stock, Rémi Gribonval
An Embedding of ReLU Networks and an Analysis of their Identifiability. CoRR (2021)
Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
Training with Quantization Noise for Extreme Model Compression. CoRR (2020)
Maxime Oquab, Pierre Stock, Oran Gafni, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie
Low Bandwidth Video-Chat Compression using Deep Generative Models. CoRR (2020)
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
And the Bit Goes Down: Revisiting the Quantization of Neural Networks. ICLR (2020)
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
And the Bit Goes Down: Revisiting the Quantization of Neural Networks. CoRR (2019)
Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou
Equi-normalization of Neural Networks. ICLR (Poster) (2019)
Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou
Equi-normalization of Neural Networks. CoRR (2019)
Pierre Stock, Moustapha Cissé
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases. ECCV (6) (2018)
Pierre Stock, Moustapha Cissé
ConvNets and ImageNet Beyond Accuracy: Explanations, Bias Detection, Adversarial Examples and Model Criticism. CoRR (2017)