Author

Adam Klivans

h-index 2 View on Semantic Scholar

We have 2 of 9 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Jan 2026

Ambient Dataloops: Generative Models for Dataset Refinement

Ambient Dataloops is an iterative framework for refining datasets that makes it easier for diffusion models to learn the underlying data distribution, and a dataset-model co-evolution process; at each iteration of the method, the dataset becomes progressively higher quality, and the model improves accordingly.

Adrián Rodríguez-Muñoz, William Daspit, Adam Klivans et al. · arXiv.org · 1 citation

Open access Jul 2026

Folding scFv–Antigen Complexes at Scale

A scalable bench-marking pipeline is introduced that generates large ensembles of scFv–Ag structure predictions by cofolding a curated subset of 3,800 Ab–Ag complexes from SAbDab using multiple state-of-the-art models under diverse inference-time settings and evaluating model performance in recovering correct scFv–Ag i...

Ravi K Shah, Jeffrey Ouyang-Zhang, Zachary Cohen et al. · bioRxiv · 0 citations