Zachary DeVito

Zachary DeVito has 2 papers in our library, in 2018–2023; often with Andrew Poulton, Diana Liskovich, Igor Molybog.

2 papers in our library · 2018–2023

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions (2018 · 323 citations)
Deep learning frameworks such as TensorFlow, PyTorch and Caffe2 mostly hand computation off to vendor libraries like CUDNN and CUBLAS.
A Theory on Adam Instability in Large-Scale Machine Learning (2023 · 15 citations)
Very large language models sometimes show sudden loss spikes during training, and the cause has not been explained.

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

9 co-authors with a page, the most papers together first.

Papers of our library cite their works 4,767 times (of the 149,439 papers whose bibliographies we read); 420 citing papers with a page here →.

Updated 3 November 2026