Takeshi Kurashima
12 papers · 2018–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (3) π Cross-Pollinator (4)
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Cross-Pollinator
(4)
πΊοΈ
Taxonomy Completionist
(33)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Trend Setter
π
Century Club
(11)
π
Conference Pioneer
ποΈ
Keyword Collector
(78)
Conferences
AAAI (6)
IJCAI (4)
NIPS (2)
Top co-authors
Keywords
probabilistic model
(2)
decision making
(2)
collective graphical model
(2)
combinatorial optimization
(2)
map inference
(2)
gaussian process
(2)
probabilistic modeling
(2)
spatial datum
(2)
present bia
(2)
time inconsistency
(2)
behavioral economics
(2)
expectation maximization
(1)
bayesian inference
(1)
privacy preservation
(1)
bipartite matching
(1)
transfer learning
(1)
semi-supervised learning
(1)
uncertainty quantification
(1)
multivariate regression
(1)
em algorithm
(1)
Papers
Delta Matters: An Analytically Tractable Model for betaβdelta Discounting Agents
AAAI 2026
A Continuous-time Tractable Model for Present-biased Agents
AAAI 2025
Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective
IJCAI 2024
Analytically Tractable Models for Decision Making under Present Bias
AAAI 2024
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization
AAAI 2021
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
NIPS 2021
Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data
IJCAI 2020
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm
AAAI 2020
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities
AAAI 2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
NIPS 2019
Estimating Latent People Flow without Tracking Individuals
IJCAI 2018
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data
IJCAI 2018