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EY

Edouard Yvinec

cs.CVcs.CLcs.LGcs.AIArtificial Intelligenceeess.IV

On Valency

published · living versions
W_vu5dc8qp·v1 · currentpublished
EmbeddingGemma 2: Unified and Efficient Multimodal Representations
with Henrique Schechter Vera, Sahil Dua, Jovan Andonov, Sara Smoot +68
1 version

Preprints & journals

22 papers in the corpus · 2020–2026
An open vision-language model for diverse medical applications.42839104 · Sellergren, Andrew, Kazemzadeh, Sahar, Mahvar, Fereshteh et al.2026 · 46 citationsNature medicine. 2026;32(10):3695-3704
Gemma 4 Technical Report2607.02770v2 · Gemma Team: Sherif El Abd, Vaibhav Aggarwal, Robin Algayres et al.2026 · 8 citationsarXiv
Decoupled DiLoCo for Resilient Distributed Pre-training2604.21428v1 · Arthur Douillard, Keith Rush, Yani Donchev et al.2026 · 0 citationsarXiv
NUPES: Non-Uniform Post-Training Quantization via Power Exponent Search.40758517 · Yvinec, Edouard, Dapogny, Arnaud, Bailly, Kevin2025 · 2 citationsIEEE transactions on pattern analysis and machine intelligence. 2025;47(11):10012-10021
Gemma 3 Technical Report2503.19786v1 · Gemma Team: Aishwarya Kamath, Johan Ferret, Shreya Pathak et al.2025 · 72 citationsarXiv
SPOT: Text Source Prediction from Originality Score Thresholding2405.20505v1 · Edouard Yvinec, Gabriel Kasser2024 · 0 citationsarXiv
Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks2311.10549v1 · R'emi Ouazan Reboul, Edouard Yvinec, Arnaud Dapogny et al.2023 · 0 citationsarXiv
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings2309.17361v1 · Edouard Yvinec, Arnaud Dapogny, Kevin Bailly2023 · 0 citationsarXiv
Gradient-Based Post-Training Quantization: Challenging the Status Quo2308.07662v1 · Edouard Yvinec, Arnaud Dapogny, Kevin Bailly2023 · 0 citationsarXiv
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference2308.04753v2 · Edouard Yvinec, Arnaud Dapogny, Kevin Bailly et al.2023 · 1 citationarXiv
Fighting over-fitting with quantization for learning deep neural networks on noisy labels2303.11803v1 · Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny et al.2023 · 6 citationsarXiv
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging.35653454 · Yvinec, Edouard, Dapogny, Arnaud, Cord, Matthieu et al.2023 · 22 citationsIEEE transactions on pattern analysis and machine intelligence. 2023;45(3):3664-3676
PowerQuant: Automorphism Search for Non-Uniform Quantization2301.09858v1 · Edouard Yvinec, Arnaud Dapogny, Matthieu Cord et al.2023 · 6 citationsarXiv
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance2207.04089v1 · Edouard Yvinec, Arnaud Dapogny, Matthieu Cord et al.2022 · 4 citationsarXiv
SPIQ: Data-Free Per-Channel Static Input Quantization2203.14642v1 · Edouard Yvinec, Arnaud Dapogny, Matthieu Cord et al.2022 · 17 citationsarXiv
REx: Data-Free Residual Quantization Error Expansion2203.14645v3 · Edouard Yvinec, Arnaud Dapgony, Matthieu Cord et al.2022 · 7 citationsarXiv
Multi-label Transformer for Action Unit Detection2203.12531v3 · Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny et al.2022 · 7 citationsarXiv
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks2105.14797v1 · Edouard Yvinec, Arnaud Dapogny, Matthieu Cord et al.2021 · 16 citationsarXiv
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation2004.07098v1 · Edouard Yvinec, Arnaud Dapogny, K'evin Bailly2020 · 2 citationsarXiv
Career total: 30 works. 22 are in this corpus.

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