Context-Free Transductions with Neural Stacks. - Yiding Hao; William Merrill; Dana Angluin; Robert Frank 001; Noah Amsel; Andrew Benz; Simon Mendelsohn (BlackboxNLP@EMNLP, 2018)

Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings. - Egbert Castro; Andrew Benz; Alexander Tong 001; Guy Wolf; Smita Krishnaswamy (IEEE BigData, 2020)

Improving the Data Center Servers Cooling Efficiency via Liquid Cooling-based Heat Pipes. - Mahmoud Amin; Ghada A. Abdel Aziz; Mohammad Naraghi; Marvel Palatty; Andrew Benz; Dulce Ruiz (IAS, 2020)

Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings. - Egbert Castro; Andrew Benz; Alexander Tong 001; Guy Wolf; Smita Krishnaswamy (CoRR, 2020)

Learning Shared Neural Manifolds from Multi-Subject FMRI Data. - Jessie Huang; Erica L. Busch; Tom Wallenstein; Michal Gerasimiuk; Andrew Benz; Guillaume Lajoie; Guy Wolf; Nicholas B. Turk-Browne; Smita Krishnaswamy (MLSP, 2022)

Multi-view manifold learning of human brain-state trajectories. - Erica L. Busch; Jessie Huang; Andrew Benz; Tom Wallenstein; Guillaume Lajoie; Guy Wolf; Smita Krishnaswamy; Nicholas B. Turk-Browne (Nat. Comput. Sci., 2023)

A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types. - Artur Szalata; Andrew Benz; Robrecht Cannoodt; Mauricio Cortes; Jason Fong; Sunil Kuppasani; Richard Lieberman; Tianyu Liu; Javier Mas-Rosario; Rico Meinl; Jalil Nourisa; Jared Tumiel; et al. (NeurIPS, 2024)