Thu Dinh

Publication Activity (10 Years)

Years Active: 2020-2021
Publications (10 Years): 7

Top Topics

Uniform Quantization

Quantization Noise

Weighting Scheme

Top Venues

ECCV Workshops (5)

Publications

Sedigh Ghamari, Koray Ozcan, Thu Dinh, Andrey Melnikov, Juan Carvajal, Jan Ernst, Sek Chai
Quantization-Guided Training for Compact TinyML Models. CoRR (2021)
Thu Dinh, Jack Xin
Penalties. IntelliSys (1) (2020)
Thu Dinh, Andrey Melnikov, Vasilios Daskalopoulos, Sek Chai
Subtensor Quantization for Mobilenets. ECCV Workshops (5) (2020)
Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher, Jack Xin
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. LOD (2) (2020)
Thu Dinh, Jack Xin
Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network. Frontiers Appl. Math. Stat. 6 (2020)
Thu Dinh, Andrey Melnikov, Vasilios Daskalopoulos, Sek Chai
Subtensor Quantization for Mobilenets. CoRR (2020)
Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. CoRR (2020)