Multi resolution discriminative models for subvocalic speech recognition. - Mark Raugas; Vivek Kumar Rangarajan Sridhar; Rohit Prasad; Prem Natarajan (INTERSPEECH, 2010)

Faster Fuzzing: Reinitialization with Deep Neural Models. - Nicole Nichols 001; Mark Raugas; Robert Jasper; Nathan Hilliard (CoRR, 2017)

Graph Algorithms in PGAS: Chapel and UPC++. - Louis Jenkins; Jesun Sahariar Firoz; Marcin Zalewski; Cliff A. Joslyn; Mark Raugas (HPEC, 2019)

Advert: An Asynchronous Runtime for Fine-Grained Network Systems. - Ryan D. Friese; Antonino Tumeo; Roberto Gioiosa; Mark Raugas; Thomas Warfel (IPDRM@SC, 2019)

Computing Hypergraph Homology in Chapel. - Jesun Sahariar Firoz; Louis Jenkins; Cliff A. Joslyn; Brenda Praggastis; Emilie Purvine; Mark Raugas (IPDPS Workshops, 2020)

Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. - Chenhao Xie 001; Jieyang Chen; Jesun Firoz; Jiajia Li 001; Shuaiwen Leon Song; Kevin J. Barker; Mark Raugas; Ang Li 006 (ICPP, 2021)

LC-MEMENTO: A Memory Model for Accelerated Architectures. - Kiran Ranganath; Jesun Firoz; Joshua Suetterlein; Joseph B. Manzano; Andres Marquez 001; Mark Raugas; Daniel Wong 001 (LCPC, 2021)

SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks. - Sinan Aksoy; Stephen J. Young; Jesun Firoz; Roberto Gioiosa; Mark Raugas; Juan Escobedo (CoRR, 2021)

Ramanujan graphs and the spectral gap of supercomputing topologies. - Sinan G. Aksoy; Paul J. Bruillard; Stephen J. Young; Mark Raugas (J. Supercomput., 2021)

SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks. - Stephen J. Young; Sinan Aksoy; Jesun Firoz; Roberto Gioiosa; Tobias Hagge; Mark Kempton; Juan Escobedo; Mark Raugas (IPDPS, 2022)

MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems. - Jieyang Chen; Chenhao Xie 001; Jesun Sahariar Firoz; Jiajia Li 001; Shuaiwen Leon Song; Kevin J. Barker; Mark Raugas; Ang Li 006 (CoRR, 2022)

Lamellar: A Rust-based Asynchronous Tasking and PGAS Runtime for High Performance Computing. - Ryan D. Friese; Roberto Gioiosa; Joseph Cottam; Erdal Mutlu; Gregory Roek; Polykarpos Thomadakis; Mark Raugas (SC Workshops, 2024)

Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes. - Jesse He; Helen Jenne; Herman Chau; Davis Brown; Mark Raugas; Sara C. Billey; Henry Kvinge (CoRR, 2024)

Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics. - Herman Chau; Helen Jenne; Davis Brown; Jesse He; Mark Raugas; Sara C. Billey; Henry Kvinge (CoRR, 2025)