26 citations · 33 across the 4 of their papers we have counts for
4 papers
ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution
Liu Yang, Zeyu Nie, Andrew Liu +4
The transition from sequential to parallel computing is essential for modern high-performance applications but is hindered by the steep learning curve of concurrent programming. Th…
Pure Tensor Program Rewriting via Access Patterns (Representation Pearl)
Gus Henry Smith, Andrew Liu, Steven Lyubomirsky +5
Tensor kernels in machine learning (ML) often correspond to pure mathematical expressions, making term rewriting an attractive strategy for optimization and mapping to specialized…
Learning to Factorize and Relight a City
Andrew Liu, Shiry Ginosar, Tinghui Zhou +2
We propose a learning-based framework for disentangling outdoor scenes into temporally-varying illumination and permanent scene factors. Inspired by the classic intrinsic image dec…
Spatial Strength Centrality and the Effect of Spatial Embeddings on Network Architecture
Andrew Liu, Mason A. Porter
For many networks, it is useful to think of their nodes as being embedded in a latent space, and such embeddings can affect the probabilities for nodes to be adjacent to each other…