1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2025★ 1 cited
Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
Akarsh Kumar, Jeff Clune, Joel Lehman +1
Much of the excitement in modern AI is driven by the observation that scaling up existing systems leads to better performance. But does better performance necessarily imply better…
cs.AI2025★ 1 cited
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman, Elliot Meyerson, Tarek El-Gaaly +2
This paper claims that machine learning (ML) largely overlooks an important facet of general intelligence: robustness to a qualitatively unknown future in an open world. Such robus…
cs.AI2024
Automating the Search for Artificial Life with Foundation Models
Akarsh Kumar, Chris Lu, Louis Kirsch +4
With the recent Nobel Prize awarded for radical advances in protein discovery, foundation models (FMs) for exploring large combinatorial spaces promise to revolutionize many scient…