activity
20212024
most citedSpDISTAL: Compiling Distributed Sparse Tensor Computations

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2024

Efficient Fault Tolerance for Pipelined Query Engines via Write-ahead Lineage

Ziheng Wang, Alex Aiken

Modern distributed pipelined query engines either do not support intra-query fault tolerance or employ high-overhead approaches such as persisting intermediate outputs or checkpoin…

cs.CV2023

Putting People in Their Place: Affordance-Aware Human Insertion into Scenes

Sumith Kulal, Tim Brooks, Alex Aiken +5

We study the problem of inferring scene affordances by presenting a method for realistically inserting people into scenes. Given a scene image with a marked region and an image of…

cs.DC20222 cited

SpDISTAL: Compiling Distributed Sparse Tensor Computations

Rohan Yadav, Alex Aiken, Fredrik Kjolstad

We introduce SpDISTAL, a compiler for sparse tensor algebra that targets distributed systems. SpDISTAL combines separate descriptions of tensor algebra expressions, sparse data str…

cs.CV20221 cited

Programmatic Concept Learning for Human Motion Description and Synthesis

Sumith Kulal, Jiayuan Mao, Alex Aiken +1

We introduce Programmatic Motion Concepts, a hierarchical motion representation for human actions that captures both low-level motion and high-level description as motion concepts.…

cs.PL2021

Inferring Invariants with Quantifier Alternations: Taming the Search Space Explosion

Jason R. Koenig, Oded Padon, Sharon Shoham +1

We present a PDR/IC3 algorithm for finding inductive invariants with quantifier alternations. We tackle scalability issues that arise due to the large search space of quantified in…