Yvinec, Edouard

7 publications

ICLR 2024 Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings Edouard Yvinec, Arnaud Dapogny, Kevin Bailly

ICLR 2023 PowerQuant: Automorphism Search for Non-Uniform Quantization Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

NeurIPS 2023 REx: Data-Free Residual Quantization Error Expansion Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

WACV 2023 SPIQ: Data-Free Per-Channel Static Input Quantization Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

NeurIPS 2022 SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly

IJCAI 2022 To Fold or Not to Fold: A Necessary and Sufficient Condition on Batch-Normalization Layers Folding Edouard Yvinec, Arnaud Dapogny, Kevin Bailly

NeurIPS 2021 RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly