Thu Dinh

According to our database, Thu Dinh authored at least 7 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Quantization-Guided Training for Compact TinyML Models.

Sedigh Ghamari, Koray Ozcan, Thu Dinh, Andrey Melnikov, Juan Carvajal, Jan Ernst, Sek Chai

CoRR, 2021

2020

Study of Stochastic and Sparse Neural Network Models with Applications.

Thu Dinh

PhD thesis, 2020

Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network.

Thu Dinh, Jack Xin

Frontiers Appl. Math. Stat., 2020

Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets.

Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher

CoRR, 2020

Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets.

Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher, Jack Xin

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Convergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via ℓ _1, ℓ ₀, and Transformed-ℓ ₁ Penalties.

Thu Dinh, Jack Xin

Proceedings of the Intelligent Systems and Applications, 2020

Subtensor Quantization for Mobilenets.

Thu Dinh, Andrey Melnikov, Vasilios Daskalopoulos, Sek Chai

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020