Hideaki Kim

26 papers A* 12A 1B 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
A Continuous-time Tractable Model for Present-biased Agents.
AAAI
Yasunori Akagi, Hideaki Kim, Takeshi Kurashima
2025 J jnl
A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization.
CoRR
Hideaki Kim, Tomoharu Iwata
2025 J jnl
K
CoRR
Hideaki Kim, Tomoharu Iwata, Akinori Fujino
2025 A* conf
K2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes.
ICML
Hideaki Kim, Tomoharu Iwata, Akinori Fujino
2024 J jnl
A Continuous-time Tractable Model for Present-biased Agents.
CoRR
Yasunori Akagi, Hideaki Kim, Takeshi Kurashima
2024 A* conf
Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions.
NeurIPS
Hideaki Kim
2024 J jnl
Meta-Learning for Neural Network-based Temporal Point Processes.
CoRR
Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima
2023 A* conf
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing.
AAAI
Yuya Hikima, Yasunori Akagi, Hideaki Kim, Taichi Asami
2023 J jnl
MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm.
Mach. Learn.
Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
2023 A* conf
Survival Permanental Processes for Survival Analysis with Time-Varying Covariates.
NeurIPS
Hideaki Kim
2022 A* conf
Fast Bayesian Estimation of Point Process Intensity as Function of Covariates.
NeurIPS
Hideaki Kim, Taichi Asami, Hiroyuki Toda
2022 A* conf
Online Matching with Controllable Rewards and Arrival Probabilities.
IJCAI
Yuya Hikima, Yasunori Akagi, Naoki Marumo, Hideaki Kim
2021 A* conf
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation.
NeurIPS
Hideaki Kim
2021 A* conf
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization.
AAAI
Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
2021 A* conf
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm.
NeurIPS
Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
2021 J jnl
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm.
CoRR
Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
2017 J jnl
Analyzing Temporal Dynamics of Consumer's Behavior Based on Hierarchical Time-Rescaling.
IEICE Trans. Inf. Syst.
Hideaki Kim, Noriko Takaya, Hiroshi Sawada
2017 B conf
Online Traffic Flow Prediction Using Convolved Bilinear Poisson Regression.
MDM
Maya Okawa, Hideaki Kim, Hiroyuki Toda
2017 A* conf
Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes.
AAAI
Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda
2017 A* conf
SVD-Based Screening for the Graphical Lasso.
IJCAI
Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
2017 — conf
Scaling Locally Linear Embedding.
SIGMOD Conference
Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
2014 A conf
Tracking Temporal Dynamics of Purchase Decisions via Hierarchical Time-Rescaling Model.
CIKM
Hideaki Kim, Noriko Takaya, Hiroshi Sawada
2013 — conf
Estimating inputs and an internal neuronal parameter from a single spike train.
EMBC
Shigeru Shinomoto, Hideaki Kim
2012 J jnl
Neurons as ideal change-point detectors.
J. Comput. Neurosci.
Hideaki Kim, Barry J. Richmond, Shigeru Shinomoto
2011 J jnl
Elemental Spiking Neuron Model for Reproducing Diverse Firing Patterns and Predicting Precise Firing Times.
Frontiers Comput. Neurosci.
Satoshi Yamauchi, Hideaki Kim, Shigeru Shinomoto
2009 J jnl
Relating Neuronal Firing Patterns to Functional Differentiation of Cerebral Cortex.
PLoS Comput. Biol.
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