A Differentiable Point Process with Its Application to Spiking Neural Networks
- 2021
- ICML 2021
Bio
Hiroshi Kajino is a researcher at IBM Research - Tokyo. He is mainly working on machine learning and data mining areas. For more details including his publications, please refer to the external website.
Publications
Molecular Hypergraph Grammar with Its Application to Molecular Optimization
- 2019
- ICML 2019
Patents
Generating Symbolic Domain Models From Multimodal Data
- 08 May 2023
- US
- 11645476
Molecular Representation
- 15 Aug 2022
- US
- 11417415
Learning Apparatus And Method For Bidirectional Learning Of Predictive Model Based On Data Sequence
- 14 Aug 2022
- JP
- 7123938
Implementing A Computer System Task Involving Nonstationary Streaming Time-series Data By Removing Biased Gradients From Memory
- 08 Aug 2022
- US
- 11410077
Multi-step Ahead Forecasting Using Complex-valued Vector Autoregregression
- 18 Apr 2022
- US
- 11308414
Correction Of Reaction Rules Databases By Active Learning
- 27 Sep 2021
- US
- 11132621
Learning Apparatus And Method For Learning A Model Corresponding To A Function Changing In Time Series
- 21 Sep 2020
- US
- 10783452