| Adversarial discriminative attention for robust anomaly detection D Kimura, S Chaudhury, M Narita, A Munawar, R Tachibana Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 52 | 2020 |
| Morphology and dynamics of Venus's middle clouds with Akatsuki/IR1 J Peralta, N Iwagami, A Sánchez‐Lavega, YJ Lee, R Hueso, M Narita, ... Geophysical Research Letters 46 (5), 2399-2407, 2019 | 20 | 2019 |
| Data-centric disambiguation for data transformation with programming-by-example M Narita, N Maudet, Y Lu, T Igarashi Proceedings of the 26th International Conference on Intelligent User …, 2021 | 5 | 2021 |
| Spatially-weighted anomaly detection with regression model D Kimura, M Narita, A Munawar, R Tachibana arXiv preprint arXiv:1903.09798, 2019 | 5 | 2019 |
| Correlation of Venusian mesoscale cloud morphology between images acquired at various wavelengths M Narita, T Imamura, YJ Lee, S Watanabe, A Yamazaki, T Satoh, ... Journal of Geophysical Research: Planets 127 (6), e2022JE007228, 2022 | 4 | 2022 |
| Automatic Detection of Stationary Waves in the Venus Atmosphere Using Deep Generative Models M Narita, D Kimura, T Imamura 2020 25th International Conference on Pattern Recognition (ICPR), 2912-2919, 2021 | 3 | 2021 |
| Programming-by-example for data transformation to improve machine learning performance M Narita, T Igarashi Companion Proceedings of the 24th International Conference on Intelligent …, 2019 | 3 | 2019 |
| Spatially-weighted anomaly detection M Narita, D Kimura, R Tachibana arXiv preprint arXiv:1810.02607, 2018 | 2 | 2018 |
| Introducing Trial-and-Error Exploration to Avoid Critical Failure for Efficient Reinforcement Learning M Narita, D Kimura International Joint Conference on Artificial Intelligence, 2023 | | 2023 |
| FlashAttention: data-centric interaction for data transformation using Programming-by-Example M Narita, N Maudet, Y Lu, T Igarashi Adjunct Proceedings of the 33rd Annual ACM Symposium on User Interface …, 2020 | | 2020 |
| Learning from Failure: Introducing Failure Ratio in RL M Narita, D Kimura International Joint Conference on Artificial Intelligence, 2020 | | 2020 |
| Efficient Exploration with Failure Ratio for Deep Reinforcement Learning M Narita, D Kimura AAAI Conference on Artificial Intelligence, 2020 | | 2020 |
| Identifying Missing Features in State Representation for Safe Decision-Making M Narita, S Saisubramanian, RA Grupen, S Zilberstein | | |
| VAEGANͱAttentionΛ׆༻ ͨ͠ҟৗݕग़ख๏ D Kimura, M Narita, R Tachibana | | |
| Learning from Failure: Introducing Failure Ratio in Reinforcement Learning M Narita, D Kimura | | |
