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05/26/2023
Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models
In image editing employing diffusion models, it is crucial to preserve t...
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05/15/2023
Label Smoothing is Robustification against Model Misspecification
Label smoothing (LS) adopts smoothed targets in classification tasks. Fo...
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05/15/2023
Convergence Analysis of Mean Shift
The mean shift (MS) algorithm seeks a mode of the kernel density estimat...
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04/20/2023
Optimal Kernel for Kernel-Based Modal Statistical Methods
Kernel-based modal statistical methods include mode estimation, regressi...
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06/24/2022
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains
Aggregate data often appear in various fields such as socio-economics an...
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01/30/2020
Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm
Modal linear regression (MLR) is a method for obtaining a conditional mo...
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07/19/2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
We propose a probabilistic model for inferring the multivariate function...
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09/21/2018
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities
We propose a probabilistic model for refining coarse-grained spatial dat...
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07/02/2018
Zero-determinant strategies in repeated incomplete-information games: Consistency of payoff relations
We derive zero-determinant strategies for general multi-player multi-act...
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04/17/2018
A General Formula for the Stationary Distribution of the Age of Information and Its Application to Single-Server Queues
This paper considers the stationary distribution of the age of informati...
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03/15/2012
