| 2025 | IJCNN | Adaptive Gradient Algorithm with Momentum based on Spatiotemporal Second-order Dynamical Model. | Shahrzad Mahboubi, Hiroshi Ninomiya |
| 2022 | AAAI | On the Practical Robustness of the Nesterov's Accelerated Quasi-Newton Method. | S. Indrapriyadarsini, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai |
| 2022 | AAAI | A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract). | S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai |
| 2022 | PRICAI | Generative Model of Suitable Meme Sentences for Images Using AutoEncoder. | Ryo Yamatomi, Shahrzad Mahboubi, Hiroshi Ninomiya |
| 2020 | ISCAS | 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 |
| 2019 | ICMLA | A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method. | Sota Yasuda, Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai |
| 2019 | PRICAI | Momentum Acceleration of Quasi-Newton Training for Neural Networks. | Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai |
| 2018 | ICMLA | Implementation of a Modified Nesterov's Accelerated Quasi-Newton Method on Tensorflow. | S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai |
| 2015 | Interspeech | Integration of deep bottleneck features for audio-visual speech recognition. | Hiroshi Ninomiya, Norihide Kitaoka, Satoshi Tamura, Yurie Iribe, Kazuya Takeda |
| 2013 | IJCNN | Dynamic sample size selection based quasi-Newton training for highly nonlinear function approximation using multilayer neural networks. | Hiroshi Ninomiya |
| 2012 | ISITA | An error probability estimation of the document classification using Markov model. | Manabu Kobayashi, Hiroshi Ninomiya, Toshiyasu Matsushima, Shigeichi Hirasawa |
| 2011 | ICMLA | Robust Training of Multilayer Neural Networks Using Parameterized Online Quasi-Newton Algorithm. | Hiroshi Ninomiya |
| 2011 | IJCNN | Parameterized online quasi-Newton training for high-nonlinearity function approximation using multilayer neural networks. | Hiroshi Ninomiya |
| 2010 | IJCNN | An Improved Online quasi-Newton method for robust training and its application to microwave neural network models. | Hiroshi Ninomiya |
| 2009 | CEC | A hybrid global/local optimization technique for robust training of microwave neural network models. | Hiroshi Ninomiya |
| 2008 | IJCNN | Particle with ability of local search swarm optimization: PALSO for training of feedforward neural networks. | Hiroshi Ninomiya, Qi-Jun Zhang |
| 2006 | CEC | Two-staged Tabu Search for Floorplan Problem Using O-Tree Representation. | Hiroshi Ninomiya, Kimihiko Numayama, Hideki Asai |
| 2005 | CEC | Three dimensional module packing by simulated annealing. | Hirokazu Yamagishi, Hiroshi Ninomiya, Hideki Asai |
| 2005 | IJCNN | An efficient learning algorithm for finding multiple solutions based on fixed-point homotopy method. | Hiroshi Ninomiya, Chikahiro Tomita, Hideki Asai |
| 2003 | IJCNN | An efficient learning algorithm with second-order convergence for multilayer neural networks. | Hiroshi Ninomiya, Chikahiro Tomita, Hideki Asai |
| 2000 | IJCNN | Design Method of Limit Cycle Generator by Hysteresis Neural Networks. | Teru Yoneyama, Hideki Asai, Hiroshi Ninomiya |
| 1999 | IJCNN | A new learning algorithm without explicit error backpropagation. | Hiroshi Ninomiya, Naoki Kinoshita |
| 1999 | IJCNN | Design method of neural networks for limit cycle generator. | Teru Yoneyama, Hiroshi Ninomiya, Hideki Asai |
| 1995 | ISCAS | Convergence of Hopfield Neural Network for Orthogonal Transformation. | Takeshi Kamio, Hiroshi Ninomiya, Hideki Asai |
| 1995 | ISCAS | Orthogonalized Steepest Descent Method for Solving Nonlinear Equations. | Hiroshi Ninomiya, Hideki Asai |