Andrew Benz

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Stochastic Context Free Grammars

Attribute Grammars

Computational Biology

Top Venues

Publications

Erica L. Busch, Jessie Huang, Andrew Benz, Tom Wallenstein, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy, Nicholas B. Turk-Browne
Multi-view manifold learning of human brain-state trajectories. Nat. Comput. Sci. 3 (3) (2023)
Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Learning shared neural manifolds from multi-subject FMRI data. CoRR (2022)
Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
Learning Shared Neural Manifolds from Multi-Subject FMRI Data. MLSP (2022)
Egbert Castro, Andrew Benz, Alexander Tong, Guy Wolf, Smita Krishnaswamy
Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings. IEEE BigData (2020)
Mahmoud Amin, Ghada A. Abdel Aziz, Mohammad Naraghi, Marvel Palatty, Andrew Benz, Dulce Ruiz
Improving the Data Center Servers Cooling Efficiency via Liquid Cooling-based Heat Pipes. IAS (2020)
Egbert Castro, Andrew Benz, Alexander Tong, Guy Wolf, Smita Krishnaswamy
Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings. CoRR (2020)
Yiding Hao, William Merrill, Dana Angluin, Robert Frank, Noah Amsel, Andrew Benz, Simon Mendelsohn
Context-Free Transductions with Neural Stacks. BlackboxNLP@EMNLP (2018)
Yiding Hao, William Merrill, Dana Angluin, Robert Frank, Noah Amsel, Andrew Benz, Simon Mendelsohn
Context-Free Transductions with Neural Stacks. CoRR (2018)