A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient S Indrapriyadarsini, S Mahboubi, H Ninomiya, H Asai arXiv preprint arXiv:1909.03621, 2019 | 14 | 2019 |
Accelerating Symmetric Rank-1 Quasi-Newton Method with Nesterov's Gradient for Training Neural Networks S Indrapriyadarsini, S Mahboubi, H Ninomiya, T Kamio, H Asai Algorithms 15 ((1) 6), 2021 | 11 | 2021 |
Implementation of a modified Nesterov's Accelerated quasi-Newton Method on Tensorflow S Indrapriyadarsini, S Mahboubi, H Ninomiya, H Asai 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 10 | 2018 |
Momentum acceleration of quasi-Newton based optimization technique for neural network training S Mahboubi, S Indrapriyadarsini, H Ninomiya, H Asai Nonlinear Theory and Its Applications (NOLTA), IEICE 12 (3), 554-574, 2021 | 9 | 2021 |
Momentum acceleration of quasi-Newton training for neural networks S Mahboubi, S Indrapriyadarsini, H Ninomiya, H Asai PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 7 | 2019 |
Automatic user customized brain switch RV Sastry, R Aravind, G Panwar, S Indrapriyadarsini, AG Ramakrishnan 2016 IEEE Annual India Conference (INDICON), 1-5, 2016 | 7 | 2016 |
A Robust Quasi-Newton Training with Adaptive Momentum for Microwave Circuit Models in Neural Networks S Mahboubi, S Indrapriyadarsini, H Ninomiya, H Asai Journal of Signal Processing 24 (1), 11-17, 2020 | 5 | 2020 |
A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method S Yasuda, S Mahboubi, S Indrapriyadarsini, H Ninomiya, H Asai 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 5 | 2019 |
A Nesterov's accelerated quasi-Newton method for global routing using deep reinforcement learning S Indrapriyadarsini, S Mahboubi, H Ninomiya, T Kamio, H Asai arXiv preprint arXiv:2010.09465, 2020 | 4 | 2020 |
addHessian: Combining quasi-Newton method with first-order method for neural network training S Yasuda, S Indrapriyadarsini, H Ninomiya, T Kamio, H Asai Nonlinear Theory and Its Applications, IEICE 13 (2), 361-366, 2022 | 3 | 2022 |
A neural network approach to analog circuit design optimization using nesterov's accelerated quasi-newton method S Indrapriyadarsini, S Mahboubi, H Ninomiya, T Kamio, H Asai 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-1, 2020 | 3 | 2020 |
Calibration-free SSVEP-based BCI switch RV Sastry, S Karthik, R Adithya, A Ravi, S Indrapriyadarsini, G Panwar, ... 2019 IEEE 16th India Council International Conference (INDICON), 1-4, 2019 | 3 | 2019 |
An adaptive stochastic nesterov accelerated quasi newton method for training RNNs S Indrapriyadarsini, S Mahboubi, H Ninomiya, H Asai arXiv preprint arXiv:1909.03620, 2019 | 3 | 2019 |
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network A Kishimoto, H Kajino, M Hirose, J Fuchiwaki, I Priyadarsini, L Hamada, ... arXiv preprint arXiv:2309.16374, 2023 | 2 | 2023 |
A modified limited memory Nesterov's accelerated quasi-Newton S Indrapriyadarsini, S Mahboubi, H Ninomiya, T Kamio, H Asai arXiv preprint arXiv:2112.01327, 2021 | 2 | 2021 |
A Nesterov's accelerated quasi-Newton method for global routing using deep reinforcement learning S Indrapriyadarsini, S Mahboubi, H Ninomiya, T Kamio, H Asai Nonlinear Theory and Its Applications (NOLTA), IEICE 12 (3), 323-335, 2021 | 2* | 2021 |
On the study of the memory-less quasi-Newton method with momentum term for neural network training S Mahboubi, R Yamatomi, S Indrapriyadarsini, H Ninomiya, H Asai Nonlinear Theory and Its Applications, IEICE 13 (2), 271-276, 2022 | 1 | 2022 |
aSNAQ: An adaptive stochastic Nesterov's accelerated quasi-Newton method for training RNNs I Sendilkkumaar, S Mahboubi, H Ninomiya, H Asai Nonlinear Theory and Its Applications, IEICE 11 (4), 409-421, 2020 | 1 | 2020 |
Multi-Modal Foundation Model for Material Discovery with Conversational User Interface S Takeda, A Kishimoto, I Priyadarsini S, H Shinohara, D Nakano Materials Research Society (MRS) Fall Meeting, 2023 | | 2023 |
A transformer based large-scale molecular representation model I Priyadarsini S, S Takeda, A Kishimoto, H Shinohara, D Nakano Materials Research Society (MRS) Fall Meeting, 2023 | | 2023 |