logo
ResearchBunny Logo
Learning stochastic dynamics and predicting emergent behavior using transformers

Physics

Learning stochastic dynamics and predicting emergent behavior using transformers

C. Casert, I. Tamblyn, et al.

This innovative research by Corneel Casert, Isaac Tamblyn, and Stephen Whitelam reveals how a transformer neural network, originally created for processing language, can master the complex dynamics of stochastic systems by simply observing a trajectory. Their groundbreaking work predicts unseen emergent behaviors, opening doors to understanding complex systems without traditional modeling techniques.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning
Medicine and Health

Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning

P. Nderitu, J. M. N. D. Rio, et al.

Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform-Near-Infrared Spectroscopy and Machine Learning
Food Science and Technology

Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform-Near-Infrared Spectroscopy and Machine Learning

S. Ye, H. Weng, et al.

Nondestructive monitoring of annealing and chemical-mechanical planarization behavior using ellipsometry and deep learning
Engineering and Technology

Nondestructive monitoring of annealing and chemical-mechanical planarization behavior using ellipsometry and deep learning

Q. Sun, D. Yang, et al.

Automated assessment of cardiac dynamics in aging and dilated cardiomyopathy Drosophila models using machine learning
Medicine and Health

Automated assessment of cardiac dynamics in aging and dilated cardiomyopathy Drosophila models using machine learning

Y. Melkani, A. Pant, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny