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Katakami, Shun
17  results:
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1

New Poisson denoising method for pulse-count STEM imaging:

Kusumi, Taichi ; Katakami, Shun ; Ishikawa, Ryo...
Ultramicroscopy.  264 (2024)  - p. 113996 , 2024
Link: https://doi.org/10.1016/..
 
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2

Bayesian active learning with model selection for spectral ..:

Nabika, Tomohiro ; Nagata, Kenji ; Mizumaki, Masaichiro..
Scientific Reports.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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3

Real-time Denoising Algorithm for STEM Imaging Using Markov..:

Kusumi, Taichi ; Katakami, Shun ; Ishikawa, Ryo...
Microscopy and Microanalysis.  30 (2024)  Supplement_1 - p. , 2024
Link: https://doi.org/10.1093/..
 
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4

Fast reconstruction of scanning transmission electron micro..:

Kusumi, Taichi ; Katakami, Shun ; Ishikawa, Ryo...
Ultramicroscopy.  253 (2023)  - p. 113811 , 2023
Link: https://doi.org/10.1016/..
 
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5

Bayesian parameter estimation from dispersion relation obse..:

Katakami, Shun ; Sakamoto, Hirotaka ; Nagata, Kenji..
Physical Review E.  105 (2022)  6 - p. , 2022
Link: https://doi.org/10.1103/..
 
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6

Recurrent Connections Might Be Important for Hierarchical C..:

Matsumoto, Narihisa ; Taguchi, Yusuke ; Shimizu, Masaumi...
Frontiers in Systems Neuroscience.  16 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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7

Quantitative Selection of Sample Structures in Small-Angle ..:

Hayashi, Yui ; Katakami, Shun ; Kuwamoto, Shigeo...
http://arxiv.org/abs/2401.10466.  , 2024
Link: http://arxiv.org/abs/240..
 
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8

Sequential Experimental Design for Spectral Measurement: Ac..:

Nabika, Tomohiro ; Nagata, Kenji ; Katakami, Shun..
http://arxiv.org/abs/2305.07040.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

Teaching Specific Scientific Knowledge into Large Language ..:

Hatakeyama-Sato, Kan ; Igarashi, Yasuhiko ; Katakami, Shun..
http://arxiv.org/abs/2312.03360.  , 2023
Link: http://arxiv.org/abs/231..
 
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10

Bayesian Inference for Small-Angle Scattering Data:

Hayashi, Yui ; Katakami, Shun ; Kuwamoto, Shigeo...
http://arxiv.org/abs/2303.04983.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Recurrent Connections Might Be Important for Hierarchical C..:

Matsumoto, Narihisa ; Taguchi, Yusuke ; Shimizu, Masaumi...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911877/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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12

Bayesian Spectral Deconvolution of X-Ray Absorption Near Ed..:

Kashiwamura, Shuhei ; Katakami, Shun ; Yamagami, Ryo...
http://arxiv.org/abs/2203.09895.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

Bayesian Inference on Hamiltonian Selections for M\"ossbaue..:

Moriguchi, Ryota ; Tsutsui, Satoshi ; Katakami, Shun...
http://arxiv.org/abs/2205.09188.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

Bayesian Inference of Absorption Spectra Based on Binomial ..:

Nabika, Tomohiro ; Nagata, Kenji ; Katakami, Shun..
http://arxiv.org/abs/2212.07053.  , 2022
Link: http://arxiv.org/abs/221..
 
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15

Parameter Distribution Estimation for Physical Models by Ba..:

片上, 舜 ; Katakami, Shun
甲第37909号.  , 2021
Link: https://repository.dl.it..
 
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