Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Self-Supervised Learning as Constrained Free-Energy Systems
Self-Supervised Learning as Constrained Free-Energy Systems
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Author:
Kemple, Kurtis
Format:
Recurso digital
Published:
Zenodo
2026
Subjects:
self-supervised learning
free energy principle
representation learning
neural networks
thermodynamics
DINO
VICReg
contrastive learning
collapse prevention
machine learning theory
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.18292515
Similar Items
When the state of the art is ahead of the state of understanding: unintuitive properties of deep neural networks
by: Joan Serrà
Published: (2019)
The Infinite Model
by: Hobe-Gelting, Victor, et al.
Published: (2026)
Dataset for "Robust Deep Learning-Based Downscaling of Mean and Extreme Precipitation over the Indian Subcontinent"
by: Murukesh, Midhun
Published: (2026)
A Review on the Integration of Machine Learning in Cloud Computing Resource Management
by: Thafzy V. M.
Published: (2025)
REMAG: Recovering high-quality Eukaryotic genomes from complex metagenomes v0.3.0
by: Gómez-Pérez, Daniel
Published: (2025)