Deciphering Elapsed Time and Predicting Action Timing from Neuronal Population Signals. - Shigeru Shinomoto; Takahiro Omi; Akihisa Mita; Hajime Mushiake; Keisetsu Shima; Yoshiya Matsuzaka; Jun Tanji (Frontiers Comput. Neurosci., 2011)

Optimizing Time Histograms for Non-Poissonian Spike Trains. - Takahiro Omi; Shigeru Shinomoto (Neural Comput., 2011)

Information Transmission Using Non-Poisson Regular Firing. - Shinsuke Koyama; Takahiro Omi; Robert E. Kass; Shigeru Shinomoto (Neural Comput., 2013)

Fully Neural Network based Model for General Temporal Point Processes. - Takahiro Omi; Naonori Ueda; Kazuyuki Aihara (NeurIPS, 2019)

Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model. - Kosuke Takahashi; Takahiro Omi; Kosuke Arima; Tatsuya Ishigaki (PACLIC, 2023)

Pretraining and Updating Language- and Domain-specific Large Language Model: A Case Study in Japanese Business Domain. - Kosuke Takahashi; Takahiro Omi; Kosuke Arima; Tatsuya Ishigaki (CoRR, 2024)

STMK24 NTCIR18 U4 Table QA Submission. - Hayato Aida; Kosuke Takahashi; Takahiro Omi (NTCIR, 2025)

Enhancing Large Vision-Language Models with Layout Modality for Table Question Answering on Japanese Annual Securities Reports. - Hayato Aida; Kosuke Takahashi; Takahiro Omi (CoRR, 2025)

Exploring Design of Multi-Agent LLM Dialogues for Research Ideation. - Keisuke Ueda; Wataru Hirota; Takuto Asakura; Takahiro Omi; Kosuke Takahashi; Kosuke Arima; Tatsuya Ishigaki (CoRR, 2025)