11 citations · 24 across the 13 of their papers we have counts for
4 papers · 1 filter
Graphical einops: bridging tensor networks and computation graphs
Vincent Wang-Maścianica, Nikhil Khatri
Architecture diagrams are ubiquitous in deep learning, but they are usually only representational: the tensor-program identities they suggest are still proved by prose and tensor-a…
Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value
Joe Edelman, Tan Zhi-Xuan, Ryan Lowe +30
Beneficial societal outcomes cannot be guaranteed by aligning individual AI systems with the intentions of their operators or users. Even an AI system that is perfectly aligned to…
On the Anatomy of Attention
Nikhil Khatri, Tuomas Laakkonen, Jonathon Liu +1
We introduce a category-theoretic diagrammatic formalism in order to systematically relate and reason about machine learning models. Our diagrams present architectures intuitively…
A Pattern Language for Machine Learning Tasks
Benjamin Rodatz, Ian Fan, Tuomas Laakkonen +3
We formalise the essential data of objective functions as equality constraints on composites of learners. We call these constraints "tasks", and we investigate the idealised view t…