Multichannel Classification of Single EEG Trials with Independent Component Analysis. - Dik Kin Wong; Marcos Perreau Guimaraes; E. Timothy Uy; Logan Grosenick; Patrick Suppes (ISNN (2), 2006)

Single-Trial Classification of MEG Recordings. - Marcos Perreau Guimaraes; Dik Kin Wong; E. Timothy Uy; Logan Grosenick; Patrick Suppes (IEEE Trans. Biomed. Eng., 2007)

Quantifying inter-subject agreement in brain-imaging analyses. - Dik Kin Wong; Logan Grosenick; E. Timothy Uy; Marcos Perreau Guimaraes; Claudio Carvalhaes; Peter Desain; Patrick Suppes (NeuroImage, 2008)

EEG Classification by ICA Source Selection of Laplacian-Filtered Data. - Claudio Carvalhaes; Marcos Perreau Guimaraes; Logan Grosenick; Patrick Suppes (ISBI, 2009)

Elastic Source Selection for In Vivo Imaging of Neuronal Ensembles. - Logan Grosenick; Todd Anderson; Stephen J. Smith (ISBI, 2009)

The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience. - Randal C. Burns; Kunal Lillaney; Daniel R. Berger; Logan Grosenick; Karl Deisseroth; R. Clay Reid; William R. Gray Roncal; Priya Manavalan; Davi Bock; Narayanan Kasthuri; Michael M. Kazhdan; Stephen J. Smith; et al. (SSDBM, 2013)

Interpretable whole-brain prediction analysis with GraphNet. - Logan Grosenick; Brad Klingenberg; Kiefer Katovich; Brian Knutson; Jonathan E. Taylor (NeuroImage, 2013)

Hierarchically Clustered PCA and CCA via a Convex Clustering Penalty. - Amanda M. Buch; Conor Liston; Logan Grosenick (CoRR, 2022)

Simple and scalable algorithms for cluster-aware precision medicine. - Amanda M. Buch; Conor Liston; Logan Grosenick (AISTATS, 2024)

Discrete Representation Learning for Multivariate Time Series. - Marzieh Ajirak; Immanuel Elbau; Nili Solomonov; Logan Grosenick (EUSIPCO, 2024)

EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes. - Mason Hargrave; Alex Spaeth; Logan Grosenick (NeurIPS, 2024)

Generalizing CNNs to graphs with learnable neighborhood quantization. - Isaac Osafo Nkansah; Neil Gallagher; Ruchi Sandilya; Conor Liston; Logan Grosenick (NeurIPS, 2024)

Exploring synergies: Advancing neuroscience with machine learning. - Marzieh Ajirak; Tülay Adali; Saeid Sanei; Logan Grosenick; Petar M. Djuric (Signal Process., 2026)