Kajino, Hiroshi

10 publications

ICML 2023 Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami

NeurIPSW 2023 MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network Akihiro Kishimoto, Hiroshi Kajino, Hirose Masataka, Junta Fuchiwaki, Indra Priyadarsini, Lisa Hamada, Hajime Shinohara, Daiju Nakano, Seiji Takeda

JAIR 2022 Classical Planning in Deep Latent Space Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise

ICML 2021 A Differentiable Point Process with Its Application to Spiking Neural Networks Hiroshi Kajino

AAAI 2019 Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting Kohei Miyaguchi, Hiroshi Kajino

ICML 2019 Molecular Hypergraph Grammar with Its Application to Molecular Optimization Hiroshi Kajino

IJCAI 2017 A Functional Dynamic Boltzmann Machine Hiroshi Kajino

ICML 2017 Bidirectional Learning for Time-Series Models with Hidden Units Takayuki Osogami, Hiroshi Kajino, Taro Sekiyama

AAAI 2013 Clustering Crowds Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima

AAAI 2012 A Convex Formulation for Learning from Crowds Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima