Follow
Shun Ogawa
Shun Ogawa
Softbank Corp.
Verified email at cpt.univ-mrs.fr
Title
Cited by
Cited by
Year
Edge of chaos and avalanches in neural networks with heavy-tailed synaptic weight distribution
Ł Kuśmierz, S Ogawa, T Toyoizumi
Physical Review Letters 125 (2), 028101, 2020
552020
Linear response theory in the Vlasov equation for homogeneous and for inhomogeneous quasistationary states
S Ogawa, YY Yamaguchi
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (6 …, 2012
352012
Non-mean-field critical exponent in a mean-field model: Dynamics versus statistical mechanics
S Ogawa, P Aurelio, YY Yamaguchi
Physical Review E 89 (3), 032131, 2014
242014
Nonlinear response for external field and perturbation in the Vlasov system
S Ogawa, YY Yamaguchi
Physical Review E 89 (5), 052114, 2014
232014
Landau-like theory for universality of critical exponents in quasistationary states of isolated mean-field systems
S Ogawa, YY Yamaguchi
Physical Review E 91 (6), 062108, 2015
222015
Spectral and formal stability criteria of spatially inhomogeneous solutions to the Vlasov equation for the Hamiltonian mean-field model
S Ogawa
Physical Review E 87 (6), 062107, 2013
17*2013
Precise determination of the nonequilibrium tricritical point based on Lynden-Bell theory in the Hamiltonian mean-field model
S Ogawa, YY Yamaguchi
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (6 …, 2011
162011
Full particle orbit effects in regular and stochastic magnetic fields
Shun Ogawa, Benjamin Cambon, Xavier Leoncini, Michel Vittot, Diego del ...
Physics of Plasmas 23 (7), 072506, 2016
152016
Conditions for predicting quasistationary states by rearrangement formula
YY Yamaguchi, S Ogawa
Physical Review E 92 (4), 042131, 2015
102015
Tailoring steep density profile with unstable points
S Ogawa, X Leoncini, A Vasiliev, X Garbet
Physics Letters A 383 (1), 35-39, 2019
62019
DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning.
Y Ishiwaka, XS Zeng, S Ogawa, D Westwater, T Tone, M Nakada
NeurIPS, 2022
52022
Dynamical pattern formations in two dimensional fluid and Landau pole bifurcation
S Ogawa, J Barré, H Morita, YY Yamaguchi
Physical Review E 89 (6), 063007, 2014
52014
Edge of chaos and scale-free avalanches in neural networks with heavy-tailed synaptic disorder
Ł Kuśmierz, S Ogawa, T Toyoizumi
Phys. Rev. Lett 125, 028101, 2020
42020
Study on creation and destruction of transport barriers via effective safety factors for energetic particles
Shun Ogawa, Xavier Leoncini, Guilhem Dif-Pradalier, and Xavier Garbet
Physics of Plasmas 23 (12), 122510, 2016
42016
Multitasking via baseline control in recurrent neural networks
S Ogawa, F Fumarola, L Mazzucato
Proceedings of the National Academy of Sciences 120 (33), e2304394120, 2023
32023
Baseline control of optimal performance in recurrent neural networks
S Ogawa, F Fumarola, L Mazzucato
bioRxiv, 2022.05. 11.491436, 2022
22022
Influence of toroidal flow on stationary density of collisionless plasmas
E Laribi, S Ogawa, G Dif-Pradalier, A Vasiliev, X Garbet, X Leoncini
Fluids 4 (3), 172, 2019
22019
CBIL: Collective Behavior Imitation Learning for Fish from Real Videos
Y Wu, Z Dou, Y Ishiwaka, S Ogawa, Y Lou, W Wang, L Liu, T Komura
ACM Transactions on Graphics (TOG) 43 (6), 1-17, 2024
12024
Baseline control of optimal performance in recurrent neural networks
L Mazzucato, F Fumarola, S Ogawa
APS March Meeting Abstracts 2023, D11. 002, 2023
12023
Linear and nonlinear response of the Vlasov system with nonintegrable Hamiltonian
S Ogawa
Physical Review E 96 (1), 012112, 2017
12017
The system can't perform the operation now. Try again later.
Articles 1–20