Scientific Research Papers – Learning Lab Central by E-mmersion Publishing

Agentic rulebooks using active inference: An artificial intelligence application for environmental sustainability

Resources – Scientific Research Papers Agentic rulebooks using active inference: An artificial intelligence application for environmental sustainability Axel Constant, Marco Perin, Hari Thiruvengada, and Karl…

Denise Holt April 16, 2025

Beyond Imitation Games: A Falsifiable Emergent Sentience Framework

The paper by Hipolito, Albarracin, and Hynes presents a framework for minimal sentience based on self-maintenance, adaptability, and agency. It emphas…

Denise Holt March 13, 2025

Noumenal Labs White Paper: How To Build A Brain

The Noumenal Labs White Paper outlines design principles for artificial intelligence, focusing on resolving the grounding problem. It emphasizes creat…

Denise Holt February 20, 2025

Benchmarking Predictive Coding Networks — Made Simple

The paper addresses efficiency and scalability issues in predictive coding networks (PCNs) by introducing a library called PCX. This open-source tool …

Denise Holt February 14, 2025

Gradient-free variational learning with conditional mixture networks

The study introduces CAVICMN, a gradient-free variational method for training conditional mixture networks (CMNs), enhancing computational efficiency …

Denise Holt February 10, 2025

Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm

The paper introduces a novel algorithm, Divide-and-Conquer Predictive Coding (DCPC), which enhances Bayesian inference in structured generative models…

Denise Holt December 13, 2024

GenRL: Multimodal-foundation world models for generalization in embodied agents

GenRL presents a novel multimodal-foundation world model for developing generalist embodied agents capable of handling diverse tasks. By integrating v…

Denise Holt December 13, 2024

Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?

This research explores the geometry of the predictive coding (PC) energy landscape and its impact on learning efficiency. It demonstrates that equilib…

Denise Holt December 12, 2024

A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit

The study presents a hierarchical active inference model illustrating how the hippocampal-prefrontal circuit integrates navigational systems for spati…

Denise Holt November 15, 2024

Variational Bayes Gaussian Splatting

The paper presents Variational Bayes Gaussian Splatting (VBGS) as an innovative method for 3D scene modeling using Gaussian mixtures. VBGS overcomes t…

Denise Holt October 4, 2024