Blog
Dados & Embeddings
Semantic Space Search Trajectory Networks
arXiv:2607.25122v1 Announce Type: new Abstract: Search Trajectory Networks (STNs) are a graph-based tool for visualizing and characterizing the behavior of optimization algorithms. STNs' reliance on discretization of the search space has largely confined them to low-dimensional or combinatorial settings. We introduce a methodology for constructing STNs in semantic spaces, defined as the space of a model's predictions on a fixed sample set. Our approach discretizes semantic vectors and aggregates...
arXiv cs.LG
·Julian Agudelo, Alberto Tonda, Gabriela Ochoa, Vincent Guigue, Cristina Manfredotti, Evelyne Lutton
·
// relacionados
Leia também
Blog
Liquid AI lança LFM2.5-Encoder-230M e LFM2.5-Encoder-350M: codificadores bidirecionais que permanecem rápidos com contexto de 8K na CPU
Blog
Memory for Large Language Models
Blog
When Does Deep Representation Learning Help Single-Cell Clustering? A Sensitivity-Aware Diagnostic Benchmark for Biomedical AI Pipelines
Blog