Hiroshi Kajino

28 papers A* 10A 1B 2Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies. ICML Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami
2023	J	`jnl`	Improving Molecular Properties Prediction Through Latent Space Fusion. CoRR Eduardo E. M. Soares, Akihiro Kishimoto, Emilio Vital Brazil, Seiji Takeda, Hiroshi Kajino, Renato Cerqueira
2023	J	`jnl`	MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network. CoRR Akihiro Kishimoto, Hiroshi Kajino, Masataka Hirose, Junta Fuchiwaki, Indra Priyadarsini, Lisa Hamada, Hajime Shinohara, Daiju Nakano, Seiji Takeda
2022	J	`jnl`	Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology. CoRR Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami
2022	J	`jnl`	Classical Planning in Deep Latent Space. J. Artif. Intell. Res. Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise
2021	A*	`conf`	A Differentiable Point Process with Its Application to Spiking Neural Networks. ICML Hiroshi Kajino
2021	J	`jnl`	A Differentiable Point Process with Its Application to Spiking Neural Networks. CoRR Hiroshi Kajino
2021	J	`jnl`	Classical Planning in Deep Latent Space. CoRR Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise
2021	—	`ch.`	Symbolic Reasoning in Latent Space: Classical Planning as an Example. Neuro-Symbolic Artificial Intelligence Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise
2019	A*	`conf`	Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting. AAAI Kohei Miyaguchi, Hiroshi Kajino
2019	A*	`conf`	Molecular Hypergraph Grammar with Its Application to Molecular Optimization. ICML Hiroshi Kajino
2019	A*	`conf`	Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. ICAPS Masataro Asai, Hiroshi Kajino
2019	J	`jnl`	Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. CoRR Masataro Asai, Hiroshi Kajino
2018	J	`jnl`	Molecular Hypergraph Grammar with its Application to Molecular Optimization. CoRR Hiroshi Kajino
2018	—	`conf`	Neuron as an Agent. ICLR (Workshop) Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo
2018	J	`jnl`	Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process. CoRR Akifumi Wachi, Hiroshi Kajino, Asim Munawar
2017	A*	`conf`	A Functional Dynamic Boltzmann Machine. IJCAI Hiroshi Kajino
2017	A*	`conf`	Bidirectional Learning for Time-series Models with Hidden Units. ICML Takayuki Osogami, Hiroshi Kajino, Taro Sekiyama
2017	J	`jnl`	Link Prediction in Sparse Networks by Incidence Matrix Factorization. J. Inf. Process. Sho Yokoi, Hiroshi Kajino, Hisashi Kashima
2016	A	`conf`	Link Prediction by Incidence Matrix Factorization. ECAI Sho Yokoi, Hiroshi Kajino, Hisashi Kashima
2015	A*	`conf`	Active Learning for Multi-relational Data Construction. WWW Hiroshi Kajino, Akihiro Kishimoto, Adi Botea, Elizabeth M. Daly, Spyros Kotoulas
2015	—	`conf`	Quality Control for Crowdsourced POI Collection. PAKDD (2) Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima
2014	B	`conf`	Instance-Privacy Preserving Crowdsourcing. HCOMP Hiroshi Kajino, Yukino Baba, Hisashi Kashima
2014	J	`jnl`	Preserving worker privacy in crowdsourcing. Data Min. Knowl. Discov. Hiroshi Kajino, Hiromi Arai, Hisashi Kashima
2014	B	`conf`	Quality Control for Crowdsourced Enumeration Tasks. HCOMP Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima
2013	A*	`conf`	Clustering Crowds. AAAI Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima
2012	A*	`conf`	A Convex Formulation for Learning from Crowds. AAAI Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima
2012	—	`conf`	Learning from Crowds and Experts. HCOMP@AAAI Hiroshi Kajino, Yuta Tsuboi, Issei Sato, Hisashi Kashima