collaborators

5 papers

cs.LG2025

Log-Normal Multiplicative Dynamics for Stable Low-Precision Training of Large Networks

Keigo Nishida, Eren Mehmet Kıral, Kenichi Bannai +2

Studies in neuroscience have shown that biological synapses follow a log-normal distribution whose transitioning can be explained by noisy multiplicative dynamics. Biological netwo…

math.PR2024

On Interactions for Large Scale Interacting Systems

Kenichi Bannai, Jun Koriki, Makiko Sasada +2

Statistical mechanics explains the properties of macroscopic phenomena based on the movements of microscopic particles such as atoms and molecules. Movements of microscopic particl…

math.PR2024

Topological Structures of Large Scale Interacting Systems via Uniform Functions and Forms

Kenichi Bannai, Yukio Kametani, Makiko Sasada

In this article, we investigate the topological structure of large scale interacting systems on infinite graphs, by constructing a suitable cohomology which we call the uniform coh…

math.PR2024

On Uniform Functions on Configuration Spaces of Large Scale Interacting Systems

Kenichi Bannai, Makiko Sasada

Stochastic large scale interacting systems can be studied via the observables, i.e. functions on the underlying configuration space. In our previous article, we introduced the conc…

math.PR2024

Varadhan's Decomposition of Shift-Invariant Closed -forms for Large Scale Interacting Systems on the Euclidean Lattice

Kenichi Bannai, Makiko Sasada

We rigorously formulate and prove for a relatively general class of interactions Varadhan's Decomposition of shift-invariant closed -forms for a large scale interacting system…