| 2025 | PRICAI | XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation. | Daichi Kimura, Tomonori Izumitani, Hisashi Kashima |
| 2023 | AAAI | Prospects of Continual Causality for Industrial Applications. | Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu |
| 2022 | AISTATS | Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference. | Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani |
| 2021 | KDD | Estimating individual-level optimal causal interventions combining causal models and machine learning models. | Keisuke Kiritoshi, Tomonori Izumitani, Kazuki Koyama, Tomomi Okawachi, Keisuke Asahara, Shohei Shimizu |
| 2019 | CVPR | L1-Norm Gradient Penalty for Noise Reduction of Attribution Maps. | Keisuke Kiritoshi, Ryosuke Tanno, Tomonori Izumitani |
| 2019 | ICDM | Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO. | Kazuki Koyama, Keisuke Kiritoshi, Tomonori Izumitani |
| 2013 | ICASSP | Bayesian semi-supervised audio event transcription based on Markov indian buffet process. | Yasunori Ohishi, Daichi Mochihashi, Tomoko Matsui, Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino |
| 2008 | ICASSP | A background music detection method based on robust feature extraction. | Tomonori Izumitani, Ryo Mukai, Kunio Kashino |
| 2006 | ICASSP | Frequency Component Restoration for Music Sounds using a Markov Random Field and Maximum Entropy Learning. | Tomonori Izumitani, Kunio Kashino |
| 2006 | Interspeech | Frequency component restoration for music sounds using local probabilistic models with maximum entropy learning. | Tomonori Izumitani, Kunio Kashino |