Hiroshi Kajino

According to our database, Hiroshi Kajino authored at least 24 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Improving Molecular Properties Prediction Through Latent Space Fusion.

Eduardo E. M. Soares, Akihiro Kishimoto, Emilio Vital Brazil, Seiji Takeda, Hiroshi Kajino, Renato Cerqueira

CoRR, 2023

MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network.

Akihiro Kishimoto, Hiroshi Kajino, Masataka Hirose, Junta Fuchiwaki, Indra Priyadarsini, Lisa Hamada, Hajime Shinohara, Daiju Nakano, Seiji Takeda

CoRR, 2023

Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies.

Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami

Proceedings of the International Conference on Machine Learning, 2023

2022

Classical Planning in Deep Latent Space.

Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise

J. Artif. Intell. Res., 2022

Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology.

Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami

CoRR, 2022

2021

Symbolic Reasoning in Latent Space: Classical Planning as an Example.

Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise

Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

A Differentiable Point Process with Its Application to Spiking Neural Networks.

Hiroshi Kajino

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Molecular Hypergraph Grammar with Its Application to Molecular Optimization.

Hiroshi Kajino

Proceedings of the 36th International Conference on Machine Learning, 2019

Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder.

Masataro Asai, Hiroshi Kajino

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting.

Kohei Miyaguchi, Hiroshi Kajino

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process.

Akifumi Wachi, Hiroshi Kajino, Asim Munawar

CoRR, 2018

Neuron as an Agent.

Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Link Prediction in Sparse Networks by Incidence Matrix Factorization.

Sho Yokoi, Hiroshi Kajino, Hisashi Kashima

J. Inf. Process., 2017

A Functional Dynamic Boltzmann Machine.

Hiroshi Kajino

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Bidirectional Learning for Time-series Models with Hidden Units.

Takayuki Osogami, Hiroshi Kajino, Taro Sekiyama

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Link Prediction by Incidence Matrix Factorization.

Sho Yokoi, Hiroshi Kajino, Hisashi Kashima

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Active Learning for Multi-relational Data Construction.

Hiroshi Kajino, Akihiro Kishimoto, Adi Botea, Elizabeth M. Daly, Spyros Kotoulas

Proceedings of the 24th International Conference on World Wide Web, 2015

Quality Control for Crowdsourced POI Collection.

Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

Preserving worker privacy in crowdsourcing.

Hiroshi Kajino, Hiromi Arai, Hisashi Kashima

Data Min. Knowl. Discov., 2014

Instance-Privacy Preserving Crowdsourcing.

Hiroshi Kajino, Yukino Baba, Hisashi Kashima

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Quality Control for Crowdsourced Enumeration Tasks.

Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

2013

Clustering Crowds.

Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Learning from Crowds and Experts.

Hiroshi Kajino, Yuta Tsuboi, Issei Sato, Hisashi Kashima

Proceedings of the 4th Human Computation Workshop, 2012

A Convex Formulation for Learning from Crowds.

Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012