17 citations · 48 across the 26 of their papers we have counts for
5 papers · 1 filter
Data-driven simulator of multi-animal behavior with unknown dynamics via offline and online reinforcement learning
Keisuke Fujii, Kazushi Tsutsui, Yu Teshima +6
Simulators of animal movements play a valuable role in studying behavior. Advances in imitation learning for robotics have expanded possibilities for reproducing human and animal m…
Wavy Transformer
Satoshi Noguchi, Yoshinobu Kawahara
Transformers have achieved remarkable success across natural language processing (NLP) and computer vision (CV). However, deep transformer models often suffer from an over-smoothin…
Intrinsic frequency distribution characterises neural dynamics
Ryohei Fukuma, Yoshinobu Kawahara, Okito Yamashita +3
Decomposing multivariate time series with certain basic dynamics is crucial for understanding, predicting and controlling nonlinear spatiotemporally dynamic systems such as the bra…
Explorative Curriculum Learning for Strongly Correlated Electron Systems
Kimihiro Yamazaki, Takuya Konishi, Yoshinobu Kawahara
Recent advances in neural network quantum states (NQS) have enabled high-accuracy predictions for complex quantum many-body systems such as strongly correlated electron systems. Ho…
Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators
Naichang Ke, Ryogo Tanaka, Yoshinobu Kawahara
We consider an operator-based latent Markov representation of a stochastic nonlinear dynamical system, where the stochastic evolution of the latent state embedded in a reproducing…