A Novel quasi-Newton with Momentum Training for Microwave Circuit Models using Neural Networks. - Shahrzad Mahboubi; Hiroshi Ninomiya (ICECS, 2018)

Implementation of a Modified Nesterov's Accelerated Quasi-Newton Method on Tensorflow. - S. Indrapriyadarsini; Shahrzad Mahboubi; Hiroshi Ninomiya; Hideki Asai (ICMLA, 2018)

A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method. - Sota Yasuda; Shahrzad Mahboubi; S. Indrapriyadarsini; Hiroshi Ninomiya; Hideki Asai (ICMLA, 2019)

A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient. - S. Indrapriyadarsini; Shahrzad Mahboubi; Hiroshi Ninomiya; Hideki Asai (ECML/PKDD (1), 2019)

Momentum Acceleration of Quasi-Newton Training for Neural Networks. - Shahrzad Mahboubi; S. Indrapriyadarsini; Hiroshi Ninomiya; Hideki Asai (PRICAI (2), 2019)

An Adaptive Stochastic Nesterov Accelerated Quasi Newton Method for Training RNNs. - S. Indrapriyadarsini; Shahrzad Mahboubi; Hiroshi Ninomiya; Hideki Asai (CoRR, 2019)

A Neural Network Approach to Analog Circuit Design Optimization using Nesterov's Accelerated Quasi-Newton Method. - S. Indrapriyadarsini; Shahrzad Mahboubi; Hiroshi Ninomiya; Takeshi Kamio; Hideki Asai (ISCAS, 2020)

A Nesterov's Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning. - S. Indrapriyadarsini; Shahrzad Mahboubi; Hiroshi Ninomiya; Takeshi Kamio; Hideki Asai (CoRR, 2020)

A modified limited memory Nesterov's accelerated quasi-Newton. - S. Indrapriyadarsini; Shahrzad Mahboubi; Hiroshi Ninomiya; Takeshi Kamio; Hideki Asai (CoRR, 2021)

A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract). - S. Indrapriyadarsini; Shahrzad Mahboubi; Hiroshi Ninomiya; Takeshi Kamio; Hideki Asai (AAAI, 2022)

Generative Model of Suitable Meme Sentences for Images Using AutoEncoder. - Ryo Yamatomi; Shahrzad Mahboubi; Hiroshi Ninomiya (PRICAI (1), 2022)

Accelerating Symmetric Rank-1 Quasi-Newton Method with Nesterov's Gradient for Training Neural Networks. - S. Indrapriyadarsini; Shahrzad Mahboubi; Hiroshi Ninomiya; Takeshi Kamio; Hideki Asai (Algorithms, 2022)