From the 1 of 5 linked papers with an AI index.
5 papers
Opinion Formation in a Spatially Constrained Coevolving Nonlinear Voter Model
Phil Gwon Kim, Jaeyong Bae, Jaeseok Hur +1
The paper studies how limiting interactions to nearby neighbors in a coevolving nonlinear voter model on random geometric graphs changes the system’s absorbing states, leading to r…
Gaussian Universality in Neural Network Dynamics with Generalized Structured Input Distributions
Jaeyong Bae, Hawoong Jeong
Analyzing neural network dynamics via stochastic gradient descent (SGD) is crucial to building theoretical foundations for deep learning. Previous work has analyzed structured inpu…
Uncovering Spontaneous Physics Representations in In-Context Learning
Yeongwoo Song, Jaeyong Bae, Dong-Kyum Kim +1
In-context learning (ICL) lets large language models (LLMs) solve new tasks from prompts alone, across an ever-widening range of domains, yet the mechanisms underlying this ability…
Quantitative evaluation of methods to analyze motion changes in single-particle experiments
Gorka Muñoz-Gil, Harshith Bachimanchi, Jesús Pineda +33
The analysis of live-cell single-molecule imaging experiments can reveal valuable information about the heterogeneity of transport processes and interactions between cell component…
Exploring how deep learning decodes anomalous diffusion via Grad-CAM
Jaeyong Bae, Yongjoo Baek, Hawoong Jeong
While deep learning has been successfully applied to the data-driven classification of anomalous diffusion mechanisms, how the algorithm achieves the feat still remains a mystery.…