Logan Grosenick

According to our database, Logan Grosenick authored at least 13 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Exploring synergies: Advancing neuroscience with machine learning.

Marzieh Ajirak, Tülay Adali, Saeid Sanei, Logan Grosenick, Petar M. Djuric

Signal Process., 2026

2024

Generalizing CNNs to graphs with learnable neighborhood quantization.

Isaac Osafo Nkansah, Neil Gallagher, Ruchi Sandilya, Conor Liston, Logan Grosenick

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes.

Mason Hargrave, Alex Spaeth, Logan Grosenick

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Discrete Representation Learning for Multivariate Time Series.

Marzieh Ajirak, Immanuel Elbau, Nili Solomonov, Logan Grosenick

Proceedings of the 32nd European Signal Processing Conference, 2024

Simple and scalable algorithms for cluster-aware precision medicine.

Amanda M. Buch, Conor Liston, Logan Grosenick

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Hierarchically Clustered PCA and CCA via a Convex Clustering Penalty.

Amanda M. Buch, Conor Liston, Logan Grosenick

CoRR, 2022

2013

Interpretable whole-brain prediction analysis with GraphNet.

Logan Grosenick, Brad Klingenberg, Kiefer Katovich, Brian Knutson, Jonathan E. Taylor

NeuroImage, 2013

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, Dean Kleissas, Eric A. Perlman, Kwanghun Chung, Nicholas C. Weiler, Jeff Lichtman, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein

Proceedings of the Conference on Scientific and Statistical Database Management, 2013

2009

Elastic Source Selection for In Vivo Imaging of Neuronal Ensembles.

Logan Grosenick, Todd Anderson, Stephen J. Smith

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

EEG Classification by ICA Source Selection of Laplacian-Filtered Data.

Claudio Carvalhaes, Marcos Perreau Guimaraes, Logan Grosenick, Patrick Suppes

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

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

2007

Single-Trial Classification of MEG Recordings.

Marcos Perreau Guimaraes, Dik Kin Wong, E. Timothy Uy, Logan Grosenick, Patrick Suppes

IEEE Trans. Biomed. Eng., 2007

2006

Multichannel Classification of Single EEG Trials with Independent Component Analysis.

Dik Kin Wong, Marcos Perreau Guimaraes, E. Timothy Uy, Logan Grosenick, Patrick Suppes

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006