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ORCIDKentaro Imajo
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2020 – today
- 2024
[c9]Masanori Hirano, Kentaro Imajo:
Construction of Domain-Specified Japanese Large Language Model for Finance Through Continual Pre-Training. IIAI-AAI 2024: 273-279- [i6]Masanori Hirano, Kentaro Imajo:
Construction of Domain-specified Japanese Large Language Model for Finance through Continual Pre-training. CoRR abs/2404.10555 (2024) - [i5]Masanori Hirano, Kentaro Imajo:
The Construction of Instruction-tuned LLMs for Finance without Instruction Data Using Continual Pretraining and Model Merging. CoRR abs/2409.19854 (2024) - [i4]Kenshin Abe, Kaizaburo Chubachi, Yasuhiro Fujita, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Hiroyoshi Komatsu, Hiroaki Mikami, Tsuguo Mogami, Shogo Murai, Kosuke Nakago, Daisuke Nishino, Toru Ogawa, Daisuke Okanohara, Yoshihiko Ozaki, Shotaro Sano, Shuji Suzuki, Tianqi Xu, Toshihiko Yanase:
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency. CoRR abs/2410.07563 (2024) - 2023
- [c8]Masanori Hirano
, Kentaro Minami, Kentaro Imajo:
Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling. ICAIF 2023: 19-26 - [c7]Masanori Hirano, Kentaro Imajo, Kentaro Minami, Takuya Shimada:
Efficient Learning of Nested Deep Hedging using Multiple Options. IIAI-AAI 2023: 514-521 - [i3]Masanori Hirano, Kentaro Minami, Kentaro Imajo:
Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling. CoRR abs/2307.13217 (2023) - 2022
- [c6]Yugo Fujimoto, Kei Nakagawa, Kentaro Imajo, Kentaro Minami:
Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty. IEEE Big Data 2022: 1238-1245 - [c5]Ziyin Liu, Kentaro Minami, Kentaro Imajo:
Theoretically Motivated Data Augmentation and Regularization for Portfolio Construction. ICAIF 2022: 273-281 - [i2]Yugo Fujimoto, Kei Nakagawa, Kentaro Imajo, Kentaro Minami:
Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty. CoRR abs/2210.17030 (2022) - 2021
- [c4]Kentaro Imajo, Kentaro Minami, Katsuya Ito, Kei Nakagawa:
Deep Portfolio Optimization via Distributional Prediction of Residual Factors. AAAI 2021: 213-222 - [c3]Katsuya Ito, Kentaro Minami, Kentaro Imajo, Kei Nakagawa:
Trader-Company Method: A Metaheuristics for Interpretable Stock Price Prediction. AAMAS 2021: 656-664 - [i1]Ziyin Liu, Kentaro Minami, Kentaro Imajo:
What Data Augmentation Do We Need for Deep-Learning-Based Finance? CoRR abs/2106.04114 (2021)
2010 – 2019
- 2012
- [j1]Mahito Sugiyama, Kentaro Imajo, Keisuke Otaki, Akihiro Yamamoto:
Semi-Supervised Ligand Finding Using Formal Concept Analysis. Inf. Media Technol. 7(3): 928-937 (2012) - [c2]Kentaro Imajo:
Fast Gaussian filtering algorithm using splines. ICPR 2012: 489-492 - 2011
- [c1]Mahito Sugiyama, Kentaro Imajo, Keisuke Otaki, Akihiro Yamamoto:
Discovering Ligands for TRP Ion Channels Using Formal Concept Analysis. ILP (Late Breaking Papers) 2011: 53-60
Coauthor Index
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