‪Noboru Isobe‬ - ‪Google Scholar‬

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Co-authors

Masanori KoyamaPreferred NetworksVerified email at preferred.jp
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Kohei HayashiResearcher, Preferred NetworksVerified email at preferred.jp
Kazusato OkoThe University of TokyoVerified email at g.ecc.u-tokyo.ac.jp

Noboru Isobe

Noboru Isobe

The University of Tokyo

Verified email at g.ecc.u-tokyo.ac.jp - Homepage

Deep Neural Network Partial Differential Equation


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Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation N Isobe, M Koyama, K Hayashi, K Fukumizu arXiv preprint arXiv:2402.18839, 2024	1	2024
A Convergence result of a continuous model of deep learning via\L {} ojasiewicz--Simon inequality N Isobe arXiv preprint arXiv:2311.15365, 2023	1	2023
Flow matching achieves minimax optimal convergence K Fukumizu, T Suzuki, N Isobe, K Oko, M Koyama arXiv preprint arXiv:2405.20879, 2024		2024
Variational formulations of ODE-Net as a mean-field optimal control problem and existence results N Isobe, M Okumura arXiv preprint arXiv:2303.05924, 2023		2023

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Articles 1–4