4 papers
Self-Regulating Annealing in Heavy-Tailed Diffusion Models
Keito Wakatsuki, Hideaki Shimazaki
Diffusion models have emerged as a leading framework for deep generative modeling. While the standard Gaussian formulation is theoretically convenient, its suitability for heavy-ta…
Enhancing diffusion models with Gaussianization preprocessing
Li Cunzhi, Louis Kang, Hideaki Shimazaki
Diffusion models are a class of generative models that have demonstrated remarkable success in tasks such as image generation. However, one of the bottlenecks of these models is sl…
State-space kinetic Ising model reveals task-dependent entropy flow in sparsely active nonequilibrium neuronal dynamics
Ken Ishihara, Hideaki Shimazaki
Neuronal ensemble activity, including coordinated and oscillatory patterns, exhibits hallmarks of nonequilibrium systems with time-asymmetric trajectories to maintain their organiz…
Explosive neural networks via higher-order interactions in curved statistical manifolds
Miguel Aguilera, Pablo A. Morales, Fernando E. Rosas +1
Higher-order interactions underlie complex phenomena in systems such as biological and artificial neural networks, but their study is challenging due to the scarcity of tractable m…