Preprints

  1. Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup
    Non-negative Tensor Mixture Learning for Discrete Density Estimation
    [arXiv]

Journal Papers

  1. Kazu Ghalamkari, Mahito Sugiyama
    Non-negative low-rank approximations for multi-dimensional arrays on statistical manifold
    Information Geometry (2023)
    [DOI:10.1007/s41884-023-00100-5]
  2. Kazu Ghalamkari, Yuki Tatsumi, Riichiro Saito
    Perfect circular dichroism in the Haldane model
    J. Phys. Soc. Jpn. 87, 063708 (2018) 
    [DOI:10.7566/JPSJ.87.063708]
  3. Kazu Ghalamkari, Yuki Tatsumi, Riichiro Saito
    Energy Band Gap Dependence of Valley Polarization of the Hexagonal Lattice
    J. Phys. Soc. Jpn. 87, 024710 (2018) 
    [DOI:10.7566/JPSJ.87.024710]
  4. Yuki Tatsumi, Kazu Ghalamkari, Riichiro Saito
    Laser energy dependence of valley polarization in transition-metal dichalcogenides
    Phys. Rev. B 94, 235408 (2016) 
    [DOI:10.1103/PhysRevB.94.235408]

Conference Papers

  1. Kazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara
    Many-body Approximation for Non-negative Tensors
    Advances in Neural Information Processing Systems (NeurIPS 2023), New Orleans, 2023.12.11-14, Poster
    [Paper] [arXiv] [Slide] [Poster] [OpenReview] [Video]
    Wonderfully, Dr. Ryosuke Kojima in Kyoto University has released the Python implementation here!
  2. Kazu Ghalamkari, Mahito Sugiyama
    Fast Rank-1 NMF for Missing Data with KL Divergence
    The 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), Virtual, 2022.3.28-30, Poster
    [Paper] [arXiv] [Code] [Slide] [Poster] [Video]
  3. Kazu Ghalamkari, Mahito Sugiyama
    Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation
    Advances in Neural Information Processing Systems (NeurIPS 2021), Virtual 2021.12.6-14, Poster
    [Paper] [arXiv] [Code] [Slide] [Poster] [OpenReview] [Video]

Reviews

  1. Kazu Ghalamkari, Mahito Sugiyama, Leslie O’Bray, Bastian Rieck, Karsten Borgwardt
    Advances in Graph Kernels (in Japanese)
    Journal of Japanese Society for Artificial Intelligence 38, 2021.7
    [DOI:10.11517/jjsai.36.4_421]

Workshop(reviewed)

  1. Kazu Ghalamkari, Mahito Sugiyama
    Energy-Based Non-Negative Tensor Factorization via Multi-Body Modeling
    ICML 2023 DP4ML, Hawaii, 2023.7.29, Poster
    [🔐 Paper] (Contact me to access it)
  2. Kazu Ghalamkari, Mahito Sugiyama
    Towards Geometric Understanding of Low-Rank Approximation
    NeurIPS 2020 DiffGeo4DL, Virtual, 2020.12.11, Poster
    [Paper]

Patents

  1. Okada Mitsuhiro, Akiyama Takayuki, Yamamoto Masaaki, Ghalamkari Kazu, Namba Yasuharu
    Work support system and work support method
    米国特許番号20210224752 A1 申請番号 17/142840
  2. ガラムカリ 和, 長坂 瑛, 岡田 光弘
    人動作支援システム及びその方法
    特2019-181200 特開2021-056922
  3. 岡田 光弘, 秋山 高行, 山本 正明, ガラムカリ 和, 難波 康晴
    作業支援システム及び作業支援方法
    特2020-006403 特開2021-114700　

Books

  1. TBA
  2. TBA

Misc

  1. ガラムカリ 和
    グローバルアイ[第58回] バーゼル滞在記
    A diary in Basel
    人工知能 37巻 3号 (2022年5月)
    [Misc][DOI:10.11517/jjsai.37.3_382]