IBM Research AI in Tokyo - Selected Publications


Conference Papers

  • Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki, "Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction", IJCAI 2022.
  • Kohei Miyaguchi, Takayuki Katsuki, Akira Koseki, Toshiya Iwamori, "Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion", ICLR 2022.
  • Michiaki Tatsubori, Takao Moriyama, Tatsuya Ishikawa, Paolo Fraccaro, Anne Jones, Blair Edwards, Julian Kuehnert, Sekou L. Remy, "Deep Temporal Interpolation of Radar-based Precipitation", the 47th International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2022).
  • Takashi Fukuda, Samuel Thomas, Masayuki Suzuki, Gakuto Kurata, George Saon and Brian Kingsbury , "Global RNN Transducer Models For Multi-dialect Speech Recognition", Interspeech 2022.
  • Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Nobuyasu Itoh and George Saon, "Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems", Interspeech 2022.
  • Xiaodong Cui, George Saon, Tohru Nagano, Masayuki Suzuki, Takashi Fukuda, Brian Kingsbury and Gakuto Kurata, "Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing", Interspeech 2022.
  • Akifumi Wachi, Yunyue Wei, Yanan Sui, "Safe Policy Optimization with Local Generalized Linear Function Approximations," NeurIPS 2021.
  • Kohei Miyaguchi, "Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models," NeurIPS 2021.
  • Zhanhong Yan, Satoshi Masuda, Michiaki Tatsubori, "Online Adaptation of Parameters using GRU-based Neural Network with BO for Accurate Driving Model," SIGSPATIAL 2021.
  • Daiki Kimura, Masaki Ono, Suchajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, and Alexander Gray, "Neuro-Symbolic Reinforcement Learning with First-Order Logic", EMNLP 2021.
  • Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, and Asim Munawar, "Neuro-symbolic Approaches for Text-Based Reinforcement Learning", EMNLP 2021.
  • Hiroshi Kajino, "A Differentiable Point Process with Its Application to Spiking Neural Networks," 38th International Conference on Machine Learning (ICML 2021).
  • Gakuto Kurata, George Saon, Brian Kingsbury, David Haws, Zoltan Tuske, "Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio", in Proceedings of INTERSPEECH 2021, Brno, Czech Republic (Online), August 2021.
  • Takashi Fukuda, Samuel Thomas, "Knowledge Distillation Based Training of Universal ASR Source Models for Cross-lingual Transfer", in Proceedings of INTERSPEECH 2021, Brno, Czech Republic (Online), August 2021.
  • Takayuki Osogami, "Second Order Techniques for Learning Time-series with Structural Breaks," 35th AAAI Conference on Artificial Intelligence (AAAI-21).
  • Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar, "Language-based General Action Template for Reinforcement Learning Agents," Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.
  • Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray, "LOA: Logical Optimal Actions for Text-based Interaction Games," Proc. of the Association for Computational Linguistics: ACL-IJCNLP 2021.
  • Samuel Thomas, Hong-Kwang Kuo, George Saon, Zoltan Tuske, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory, "RNN Transducer Models for Spoken Language Understanding", in Proceedings of ICASSP 2021, Toronto, Canada (Online), June 2021.
  • Takashi Fukuda, Gakuto Kurata, "Generalized Knowledge Distillation from an Ensemble of Specialized Teachers Leveraging Unsupervised Neural Clustering", in Proceedings of ICASSP 2021, Toronto, Canada (Online), June 2021.
  • Tomosato Hioki, Daiki Kimura, Jayakorn Vongkulbhisal, Subhajit Chaudhury, Michiaki Tatsubori, and Eiji Saitoh, “Time-resolved Magneto-optical Imaging assisted by Deep-learning Video Frame Interpolation”, American Physical Society (APS) March Meeting, 2021.
  • Takayuki Osogami, "Uncorrected Least-Squares Temporal Difference with Lambda-Return," Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 2020.
  • Takayuki Katsuki, Kun Zhao and Takayuki Yoshizumi, "Learning to Estimate Driver Drowsiness from Car Acceleration Sensors Using Weakly Labeled Data," 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
  • Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana, "Adversarial Discriminative Attention for Robust Anomaly Detection," 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.
  • Akifumi Wachi, Yanan Sui, "Safe Reinforcement Learning in Constrained Markov Decision Processes," International Conference on Machine Learning (ICML), 2020.
  • Akifumi Wachi, "Failure-scenario maker for rule-based agent using multi-agent adversarial reinforcement learning and its application to autonomous driving," International Joint Conference on Artificial Intelligence (IJCAI), 2020.
  • Gakuto Kurata, George Saon, "Knowledge Distillation from Offline to Streaming RNN Transducer for End-to-end Speech Recognition", in Proceedings of INTERSPEECH 2020, Shanghai, China (Online), October 2020.
  • Takashi Fukuda, Samuel Thomas, "Implicit Transfer of Privileged Acoustic Information in a Generalized Knowledge Distillation Framework", in Proceedings of INTERSPEECH 2020, Shanghai, China (Online), October 2020.
  • Hong-Kwang Kuo, Zoltán Tüske, Samuel Thomas, Yinghui Huang, Kartik Audhkhasi, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory, Luis Lastras, "End-to-End Spoken Language Understanding Without Full Transcripts", in Proceedings of INTERSPEECH 2020, Shanghai, China (Online), October 2020.
  • Hagai Aronowitz, Weizhong Zhu, Masayuki Suzuki, Gakuto Kurata, Ron Hoory, "New advances in speaker diarization", in Proceedings of INTERSPEECH 2020, Shanghai, China (Online), October 2020.
  • Shintaro Ando, Masaykui Suzuki, Nobuyasyu Itoh, Gakuto Kurata, Nobuaki Minematsu, “Converting written language to spoken language with neural machine translation for language modeling”,  in Proceedings of ICASSP 2020, Barcelona, May 2020.
  • Yosuke Higuchi, Masayuki Suzuki, Gakuto Kurata,"Speaker embeddings incorporating acoustic conditions for diarization", in Proceedings of ICASSP 2020, Barcelona, May 2020.
  • Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar and Ryuki Tachibana, "Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games," EMNLP 2020.
  • Masayasu Muraoka, Ryosuke Kohita, Etsuko Ishii, "Image Position Prediction in Multimodal Documents," Proceedings of the 12th Language Resources and Evaluation Conference (LREC), 2020.
  • Ryosuke Kohita, Issei Yoshida, Hiroshi Kanayama, Tetsuya Nasukawa, "Interactive Construction of User-Centric Dictionary for Text Analytics," Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020.
  • Masayasu Muraoka, Tetsuya Nasukawa, Rudy Raymond, Bishwaranjan Bhattacharjee, "Visual Concept Naming: Discovering Well-Recognized Textual Expressions of Visual Concepts," Proceedings of The Web Conference 2020, 2020.
  • Masayasu Muraoka, Tetsuya Nasukawa, Bishwaranjan Bhattacharjee, "Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment," Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020.
  • Masaki Ono, Takayuki Katsuki, Masaki Makino, Kyoichi Haida, Atsushi Suzuki, Reitaro Tokumasu, "Feature set for a prediction model of diabetic kidney disease progression," Digital Personalized Health and Medicine, 2020.
  • Masaki Ono, Takayuki Katsuki, Masaki Makino, Kyoichi Haida, Atsushi Suzuki, "Interpretation method for continuous glucose monitoring with subsequence time-series clustering," Digital Personalized Health and Medicine, 2020.

Books

  • 那須川哲哉, 吉田一星, 宅間大介, 鈴木祥子, 村岡雅康, 小比田涼介, "テキストマイニングの基礎技術と応用", テキストアナリティクス 第2巻, 岩波書店, ISBN:9784000298971, 2020.
  • 森村哲郎, 強化学習, 講談社, ISBN  978-4-065-15591-2, 2019.
  • 恐神貴行, ボルツマンマシン, コロナ社, ISBN 978-4-339-02832-4, 2019.