PS
Pierre Stock
cs.LGcs.AIcs.CLcs.CVcs.CRstat.MLcs.CYcs.DCcs.ROcs.SD
On Valency
published · living versionsW_5txyfx4z·v1 · currentpublished
Preprints & journals
26 papers in the corpus · 2017–2026Shieldstral2607.25857v2 · Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli et al.2026 · 0 citationsarXiv
Robostral Navigate2607.20785v3 · Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra et al.2026 · 0 citationsarXiv
Voxtral TTS2603.25551v2 · Mistral-AI: Alexander H. Liu, Alexis Tacnet, Andy Ehrenberg et al.2026 · 0 citationsarXiv
Voxtral Realtime2602.11298v3 · Mistral-AI: Alexander H. Liu, Andy Ehrenberg, Andy Lo et al.2026 · 0 citationsarXiv
Ministral 32601.08584v1 · Alexander H. Liu, Kartik Khandelwal, Sandeep Subramanian et al.2026 · 5 citationsarXiv
Devstral: Fine-tuning Language Models for Coding Agent Applications2509.25193v1 · Abhinav Rastogi, Adam Yang, Albert Q. Jiang et al.2025 · 2 citationsarXiv
Voxtral2507.13264v1 · Alexander H. Liu, Andy Ehrenberg, Andy Lo et al.2025 · 0 citationsarXiv
Magistral2506.10910v1 · Mistral-AI: Abhinav Rastogi, Albert Q. Jiang, Andy Lo et al.2025 · 3 citationsarXiv
Pixtral 12B2410.07073v2 · Pravesh Agrawal, Szymon Antoniak, Emma Bou Hanna et al.2024 · 8 citationsarXiv
Mixtral of Experts2401.04088v1 · Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux et al.2024 · 142 citationsarXiv
Mistral 7B2310.06825v1 · Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch et al.2023 · 325 citationsarXiv
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models2305.17888v1 · Zechun Liu, Barlas Oguz, Changsheng Zhao et al.2023 · 146 citationsarXiv
Evaluating Privacy Leakage in Split Learning2305.12997v3 · Xinchi Qiu, Ilias Leontiadis, Luca Melis et al.2023 · 2 citationsarXiv
Green Federated Learning2303.14604v2 · Ashkan Yousefpour, Shen Guo, Ashish Shenoy et al.2023 · 18 citationsarXiv
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design2211.03942v3 · Chuan Guo, Kamalika Chaudhuri, Pierre Stock et al.2022 · 1 citationarXiv
TAN Without a Burn: Scaling Laws of DP-SGD2210.03403v2 · Tom Sander, Pierre Stock, Alexandre Sablayrolles2022 · 10 citationsarXiv
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning2210.02912v2 · Samuel Maddock, Alexandre Sablayrolles, Pierre Stock2022 · 3 citationsarXiv
Reconciling Security and Communication Efficiency in Federated Learning2207.12779v1 · Karthik Prasad, Sayan Ghosh, Graham Cormode et al.2022 · 4 citationsarXiv
Defending against Reconstruction Attacks with Rényi Differential Privacy2202.07623v1 · Pierre Stock, Igor Shilov, Ilya Mironov et al.2022 · 6 citationsarXiv
An Embedding of ReLU Networks and an Analysis of their Identifiability2107.09370v5 · Pierre Stock, R'emi Gribonval2021 · 7 citationsarXiv
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference2104.01136v2 · Ben Graham, Alaaeldin El-Nouby, Hugo Touvron et al.2021 · 981 citationsarXiv
Low Bandwidth Video-Chat Compression using Deep Generative Models2012.00328v1 · Maxime Oquab, Pierre Stock, Oran Gafni et al.2020 · 46 citationsarXiv
Training with Quantization Noise for Extreme Model Compression2004.07320v3 · Angela Fan, Pierre Stock, Benjamin Graham et al.2020 · 145 citationsarXiv
And the Bit Goes Down: Revisiting the Quantization of Neural Networks1907.05686v5 · Pierre Stock, Armand Joulin, R'emi Gribonval et al.2019 · 97 citationsarXiv
Equi-normalization of Neural Networks1902.10416v1 · Pierre Stock, Benjamin Graham, R'emi Gribonval et al.2019 · 3 citationsarXiv
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases1711.11443v2 · Pierre Stock, Moustapha Cisse2017 · 161 citationsarXiv
Career total: 32 works. 26 are in this corpus.
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