2 papers
cs.LG2025
Subjective Depth and Timescale Transformers: Learning Where and When to Compute
Frederico Wieser, Martin Benfeghoul, Haitham Bou Ammar +2
The rigid, uniform allocation of computation in standard Transformer (TF) architectures can limit their efficiency and scalability, particularly for large-scale models and long seq…
cs.AI2025
Guiding Evolution of Artificial Life Using Vision-Language Models
Nikhil Baid, Hannah Erlebach, Paul Hellegouarch +1
Foundation models (FMs) have recently opened up new frontiers in the field of artificial life (ALife) by providing powerful tools to automate search through ALife simulations. Prev…