On a 'Two Truths' Phenomenon in Spectral Graph Clustering. - Carey E. Priebe; Youngser Park; Joshua T. Vogelstein; John M. Conroy; Vince Lyzinski; Minh Tang; Avanti Athreya; Joshua Cape; Eric Bridgeford (CoRR, 2018)

GraSPy: Graph Statistics in Python. - Jaewon Chung; Benjamin D. Pedigo; Eric W. Bridgeford; Bijan K. Varjavand; Joshua T. Vogelstein (CoRR, 2019)

mgcpy: A Comprehensive High Dimensional Independence Testing Python Package. - Sambit Panda; Satish Palaniappan; Junhao Xiong; Ananya Swaminathan; Sandhya Ramachandran; Eric W. Bridgeford; Cencheng Shen; Joshua T. Vogelstein (CoRR, 2019)

GraSPy: Graph Statistics in Python. - Jaewon Chung; Benjamin D. Pedigo; Eric W. Bridgeford; Bijan K. Varjavand; Hayden S. Helm; Joshua T. Vogelstein (J. Mach. Learn. Res., 2019)

Vertex nomination: The canonical sampling and the extended spectral nomination schemes. - Jordan Yoder; Li Chen; Henry Pao; Eric Bridgeford; Keith D. Levin; Donniell E. Fishkind; Carey E. Priebe; Vince Lyzinski (Comput. Stat. Data Anal., 2020)

The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match. - Donniell E. Fishkind; Felix Parker; Hamilton Sawczuk; Lingyao Meng; Eric Bridgeford; Avanti Athreya; Carey E. Priebe; Vince Lyzinski (Appl. Netw. Sci., 2021)

Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. - Eric W. Bridgeford; Shangsi Wang; Zeyi Wang; Ting Xu 001; R. Cameron Craddock; Jayanta Dey; Gregory Kiar; William R. Gray Roncal; Carlo Colantuoni; Christopher Douville; Stephanie Noble; Carey E. Priebe; et al. (PLoS Comput. Biol., 2021)

Why Do Networks Need Negative Weights? - Qingyang Wang 002; Michael A. Powell; Ali Geisa; Eric Bridgeford; Joshua T. Vogelstein (CoRR, 2022)

Why do networks have inhibitory/negative connections? - Qingyang Wang 002; Michael A. Powell; Ali Geisa; Eric Bridgeford; Carey E. Priebe; Joshua T. Vogelstein (ICCV, 2023)

Polarity Is All You Need to Learn and Transfer Faster. - Qingyang Wang 002; Michael Alan Powell; Eric W. Bridgeford; Ali Geisa; Joshua T. Vogelstein (ICML, 2023)

Learning sources of variability from high-dimensional observational studies. - Eric W. Bridgeford; Jaewon Chung; Brian Gilbert; Sambit Panda; Adam Li; Cencheng Shen; Alexandra Badea; Brian Caffo; Joshua T. Vogelstein (CoRR, 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)