Hiroshi Kajino

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 21

Top Topics

Markov Decision Process

Quality Control

Optimization Methods

Top Venues

Publications

Eduardo E. M. Soares, Akihiro Kishimoto, Emilio Vital Brazil, Seiji Takeda, Hiroshi Kajino, Renato Cerqueira
Improving Molecular Properties Prediction Through Latent Space Fusion. CoRR (2023)
Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies. ICML (2023)
Akihiro Kishimoto, Hiroshi Kajino, Masataka Hirose, Junta Fuchiwaki, Indra Priyadarsini, Lisa Hamada, Hajime Shinohara, Daiju Nakano, Seiji Takeda
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network. CoRR (2023)
Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise
Classical Planning in Deep Latent Space. J. Artif. Intell. Res. 74 (2022)
Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami
Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology. CoRR (2022)
Hiroshi Kajino
A Differentiable Point Process with Its Application to Spiking Neural Networks. CoRR (2021)
Hiroshi Kajino
A Differentiable Point Process with Its Application to Spiking Neural Networks. ICML (2021)
Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise
Classical Planning in Deep Latent Space. CoRR (2021)
Masataro Asai, Hiroshi Kajino
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. CoRR (2019)
Masataro Asai, Hiroshi Kajino
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. ICAPS (2019)
Hiroshi Kajino
Molecular Hypergraph Grammar with Its Application to Molecular Optimization. ICML (2019)
Kohei Miyaguchi, Hiroshi Kajino
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting. AAAI (2019)
Akifumi Wachi, Hiroshi Kajino, Asim Munawar
Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process. CoRR (2018)
Hiroshi Kajino
Molecular Hypergraph Grammar with its Application to Molecular Optimization. CoRR (2018)
Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo
Neuron as an Agent. ICLR (Workshop) (2018)
Hiroshi Kajino
A Functional Dynamic Boltzmann Machine. IJCAI (2017)
Sho Yokoi, Hiroshi Kajino, Hisashi Kashima
Link Prediction in Sparse Networks by Incidence Matrix Factorization. J. Inf. Process. 25 (2017)
Takayuki Osogami, Hiroshi Kajino, Taro Sekiyama
Bidirectional Learning for Time-series Models with Hidden Units. ICML (2017)
Sho Yokoi, Hiroshi Kajino, Hisashi Kashima
Link Prediction by Incidence Matrix Factorization. ECAI (2016)
Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima
Quality Control for Crowdsourced POI Collection. PAKDD (2) (2015)
Hiroshi Kajino, Akihiro Kishimoto, Adi Botea, Elizabeth M. Daly, Spyros Kotoulas
Active Learning for Multi-relational Data Construction. WWW (2015)
Hiroshi Kajino, Yukino Baba, Hisashi Kashima
Instance-Privacy Preserving Crowdsourcing. HCOMP (2014)
Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima
Quality Control for Crowdsourced Enumeration Tasks. HCOMP (2014)
Hiroshi Kajino, Hiromi Arai, Hisashi Kashima
Preserving worker privacy in crowdsourcing. Data Min. Knowl. Discov. 28 (5-6) (2014)
Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima
Clustering Crowds. AAAI (2013)
Hiroshi Kajino, Yuta Tsuboi, Issei Sato, Hisashi Kashima
Learning from Crowds and Experts. HCOMP@AAAI (2012)
Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima
A Convex Formulation for Learning from Crowds. AAAI (2012)