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2020 – today
- 2024
[i3]Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima:
Meta-Learning for Neural Network-based Temporal Point Processes. CoRR abs/2401.15846 (2024)- [i2]Yasunori Akagi, Hideaki Kim, Takeshi Kurashima:
A Continuous-time Tractable Model for Present-biased Agents. CoRR abs/2409.11225 (2024) - 2023
- [j5]Yasunori Akagi
, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda:
MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm. Mach. Learn. 112(1): 99-129 (2023) - [c13]Yuya Hikima, Yasunori Akagi, Hideaki Kim, Taichi Asami:
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing. AAAI 2023: 3977-3986 - [c12]Hideaki Kim:
Survival Permanental Processes for Survival Analysis with Time-Varying Covariates. NeurIPS 2023 - 2022
- [c11]Yuya Hikima, Yasunori Akagi, Naoki Marumo, Hideaki Kim:
Online Matching with Controllable Rewards and Arrival Probabilities. IJCAI 2022: 1825-1833 - [c10]Hideaki Kim, Taichi Asami, Hiroyuki Toda:
Fast Bayesian Estimation of Point Process Intensity as Function of Covariates. NeurIPS 2022 - 2021
- [c9]Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda:
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization. AAAI 2021: 3796-3805 - [c8]Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda:
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm. NeurIPS 2021: 25812-25823 - [c7]Hideaki Kim:
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation. NeurIPS 2021: 26130-26142 - [i1]Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda:
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm. CoRR abs/2102.09191 (2021)
2010 – 2019
- 2017
- [j4]Hideaki Kim, Noriko Takaya, Hiroshi Sawada:
Analyzing Temporal Dynamics of Consumer's Behavior Based on Hierarchical Time-Rescaling. IEICE Trans. Inf. Syst. 100-D(4): 693-703 (2017) - [c6]Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda:
Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. AAAI 2017: 132-139 - [c5]Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda:
SVD-Based Screening for the Graphical Lasso. IJCAI 2017: 1682-1688 - [c4]Maya Okawa, Hideaki Kim, Hiroyuki Toda:
Online Traffic Flow Prediction Using Convolved Bilinear Poisson Regression. MDM 2017: 134-143 - [c3]Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda:
Scaling Locally Linear Embedding. SIGMOD Conference 2017: 1479-1492 - 2014
- [c2]Hideaki Kim, Noriko Takaya, Hiroshi Sawada:
Tracking Temporal Dynamics of Purchase Decisions via Hierarchical Time-Rescaling Model. CIKM 2014: 1389-1398 - 2013
- [c1]Shigeru Shinomoto, Hideaki Kim:
Estimating inputs and an internal neuronal parameter from a single spike train. EMBC 2013: 7096-7099 - 2012
- [j3]Hideaki Kim, Barry J. Richmond, Shigeru Shinomoto:
Neurons as ideal change-point detectors. J. Comput. Neurosci. 32(1): 137-146 (2012) - 2011
- [j2]Satoshi Yamauchi, Hideaki Kim, Shigeru Shinomoto:
Elemental Spiking Neuron Model for Reproducing Diverse Firing Patterns and Predicting Precise Firing Times. Frontiers Comput. Neurosci. 5: 42 (2011)
2000 – 2009
- 2009
- [j1]Shigeru Shinomoto, Hideaki Kim, Takeaki Shimokawa, Nanae Matsuno, Shintaro Funahashi, Keisetsu Shima, Ichiro Fujita, Hiroshi Tamura, Taijiro Doi, Kenji Kawano, Naoko Inaba, Kikuro Fukushima, Sergei Kurkin, Kiyoshi Kurata, Masato Taira, Ken-Ichiro Tsutsui, Hidehiko Komatsu, Tadashi Ogawa, Kowa Koida, Jun Tanji, Keisuke Toyama:
Relating Neuronal Firing Patterns to Functional Differentiation of Cerebral Cortex. PLoS Comput. Biol. 5(7) (2009)
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