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S. Indrapriyadarsini
S. Indrapriyadarsini
IBM Research
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient
S Indrapriyadarsini, S Mahboubi, H Ninomiya, H Asai
arXiv preprint arXiv:1909.03621, 2019
142019
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
112021
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
102018
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
92021
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
72019
Automatic user customized brain switch
RV Sastry, R Aravind, G Panwar, S Indrapriyadarsini, AG Ramakrishnan
2016 IEEE Annual India Conference (INDICON), 1-5, 2016
72016
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
52020
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
52019
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
42020
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
32022
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
32020
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
32019
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
32019
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
22023
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
22021
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
12022
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
12020
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
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