Yusuke Tsuzuku

1. Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
   2018/02/12 by Yusuke Tsuzuku, Tsuzuku, Yusuke, Issei Sato +3 · 23 citations
   Physics and Astronomy · #Model Reduction and Neural Networks
2. Normalized Flat Minima: Exploring Scale Invariant Definition of Flat\n Minima for Neural Networks using PAC-Bayesian Analysis
   2019/01/14 by Yusuke Tsuzuku, Issei Sato, Tsuzuku, Yusuke +3 · 8 citations
   Computer Science · Materials Science · Physics and Astronomy · #Neural Networks and Applications #Machine Learning in Materials Science #Statistical Mechanics and Entropy
3. On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions
   2018/09/11 by Yusuke Tsuzuku, Issei Sato, Tsuzuku, Yusuke +1 · 2 citations
   Computer Science · Engineering · #Advancements in Semiconductor Devices and Circuit Design #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Physical Unclonable Functions (PUFs) and Hardware Security
4. Variance-based Gradient Compression for Efficient Distributed Deep Learning
   2018/02/16 by Yusuke Tsuzuku, Tsuzuku, Yusuke, Hiroto Imachi +3 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques