Series

Deep Dive: Can Latent Program Networks Solve Abstract Reasoning?

Distillation of 'Can Latent Program Networks Solve Abstract Reasoning' by Machine Learning Street Talk on YouTube where Clement Bonnet presents his innovative approach to the ARC (Abstraction and Reasoning Corpus) challenge.

Articles in this series

ARC Benchmark and LPN

Feb 20, 20253 min read4 views

A big thank you to Machine Learning Street Talk for their fascinating video, Can Latent Program Networks Solve Abstract Reasoning?. In this...

1: Understanding the ARC Benchmark and Latent Program Networks

Feb 20, 202518 min read5 views

The Abstraction and Reasoning Corpus (ARC) benchmark presents one of the most significant challenges in artificial intelligence today: assessing a...

2: Challenges of Neural Networks with ARC and Program Synthesis

Feb 20, 202517 min read6 views

Introduction Despite the remarkable success of deep learning models, particularly large neural networks and pre-trained language models (LLMs),...

3: Induction vs. Transduction in Machine Learning

Feb 21, 202515 min read7 views

Introduction One of the fundamental questions in machine learning is how models generalize from observed data to unseen examples. In AI research, this...

4: Latent Program Network (LPN) Architecture

Feb 21, 202516 min read

Introduction Traditional machine learning models, including large neural networks, kernel methods, and transductive approaches, struggle with abstract...

5: LPN Latent Space Encoding and VAE Architecture

Feb 21, 202512 min read3 views

Introduction A key innovation of the Latent Program Network (LPN) is its ability to encode programs into a continuous latent space, allowing for...