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ORCIDHiroshi Kajino
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2020 – today
- 2023
[c16]Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami:
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies. ICML 2023: 15567-15585- [i8]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 abs/2309.16374 (2023) - [i7]Eduardo E. M. Soares, Akihiro Kishimoto, Emilio Vital Brazil, Seiji Takeda, Hiroshi Kajino, Renato Cerqueira:
Improving Molecular Properties Prediction Through Latent Space Fusion. CoRR abs/2310.13802 (2023) - 2022
- [j3]Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise:
Classical Planning in Deep Latent Space. J. Artif. Intell. Res. 74: 1599-1686 (2022) - [i6]Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami:
Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology. CoRR abs/2201.12163 (2022) - 2021
- [c15]Hiroshi Kajino:
A Differentiable Point Process with Its Application to Spiking Neural Networks. ICML 2021: 5226-5235 - [p1]Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise:
Symbolic Reasoning in Latent Space: Classical Planning as an Example. Neuro-Symbolic Artificial Intelligence 2021: 52-77 - [i5]Hiroshi Kajino:
A Differentiable Point Process with Its Application to Spiking Neural Networks. CoRR abs/2106.00901 (2021) - [i4]Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise:
Classical Planning in Deep Latent Space. CoRR abs/2107.00110 (2021)
2010 – 2019
- 2019
- [c14]Kohei Miyaguchi, Hiroshi Kajino:
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting. AAAI 2019: 4594-4601 - [c13]Masataro Asai, Hiroshi Kajino:
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. ICAPS 2019: 592-600 - [c12]Hiroshi Kajino:
Molecular Hypergraph Grammar with Its Application to Molecular Optimization. ICML 2019: 3183-3191 - [i3]Masataro Asai, Hiroshi Kajino:
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. CoRR abs/1903.11277 (2019) - 2018
- [c11]Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo:
Neuron as an Agent. ICLR (Workshop) 2018 - [i2]Hiroshi Kajino:
Molecular Hypergraph Grammar with its Application to Molecular Optimization. CoRR abs/1809.02745 (2018) - [i1]Akifumi Wachi, Hiroshi Kajino, Asim Munawar:
Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process. CoRR abs/1809.04232 (2018) - 2017
- [j2]Sho Yokoi, Hiroshi Kajino, Hisashi Kashima:
Link Prediction in Sparse Networks by Incidence Matrix Factorization. J. Inf. Process. 25: 477-485 (2017) - [c10]Takayuki Osogami, Hiroshi Kajino, Taro Sekiyama:
Bidirectional Learning for Time-series Models with Hidden Units. ICML 2017: 2711-2720 - [c9]Hiroshi Kajino:
A Functional Dynamic Boltzmann Machine. IJCAI 2017: 1987-1993 - 2016
- [c8]Sho Yokoi, Hiroshi Kajino, Hisashi Kashima:
Link Prediction by Incidence Matrix Factorization. ECAI 2016: 1730-1731 - 2015
- [c7]Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima:
Quality Control for Crowdsourced POI Collection. PAKDD (2) 2015: 255-267 - [c6]Hiroshi Kajino, Akihiro Kishimoto, Adi Botea, Elizabeth M. Daly, Spyros Kotoulas
:
Active Learning for Multi-relational Data Construction. WWW 2015: 560-569 - 2014
- [j1]Hiroshi Kajino, Hiromi Arai, Hisashi Kashima:
Preserving worker privacy in crowdsourcing. Data Min. Knowl. Discov. 28(5-6): 1314-1335 (2014) - [c5]Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima:
Quality Control for Crowdsourced Enumeration Tasks. HCOMP 2014: 28-29 - [c4]Hiroshi Kajino, Yukino Baba, Hisashi Kashima:
Instance-Privacy Preserving Crowdsourcing. HCOMP 2014: 96-103 - 2013
- [c3]Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima:
Clustering Crowds. AAAI 2013: 1120-1127 - 2012
- [c2]Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima:
A Convex Formulation for Learning from Crowds. AAAI 2012: 73-79 - [c1]Hiroshi Kajino, Yuta Tsuboi, Issei Sato, Hisashi Kashima:
Learning from Crowds and Experts. HCOMP@AAAI 2012
Coauthor Index
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