Logan Grosenick

16 papers A* 2A 1B 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring synergies: Advancing neuroscience with machine learning.
Signal Process.
Marzieh Ajirak, Tülay Adali, Saeid Sanei, Logan Grosenick, Petar M. Djuric
2025 J jnl
Contrastive Diffusion Alignment: Learning Structured Latents for Controllable Generation.
CoRR
Ruchi Sandilya, Sumaira Perez, Charles Lynch, Lindsay Victoria, Benjamin Zebley, Derrick Matthew Buchanan, Mahendra T. Bhati, Nolan R. Williams, Timothy J. Spellman, Faith M. Gunning, Conor Liston, Logan Grosenick
2025 J jnl
Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction.
CoRR
Marzieh Ajirak, Oded Bein, Ellen Rose Bowen, Dora Kanellopoulos, Avital Falk, Faith M. Gunning, Nili Solomonov, Logan Grosenick
2024 — conf
Discrete Representation Learning for Multivariate Time Series.
EUSIPCO
Marzieh Ajirak, Immanuel Elbau, Nili Solomonov, Logan Grosenick
2024 A* conf
EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes.
NeurIPS
Mason Hargrave, Alex Spaeth, Logan Grosenick
2024 A* conf
Generalizing CNNs to graphs with learnable neighborhood quantization.
NeurIPS
Isaac Osafo Nkansah, Neil Gallagher, Ruchi Sandilya, Conor Liston, Logan Grosenick
2024 A conf
Simple and scalable algorithms for cluster-aware precision medicine.
AISTATS
Amanda M. Buch, Conor Liston, Logan Grosenick
2022 J jnl
Hierarchically Clustered PCA and CCA via a Convex Clustering Penalty.
CoRR
Amanda M. Buch, Conor Liston, Logan Grosenick
2013 J jnl
Interpretable whole-brain prediction analysis with GraphNet.
NeuroImage
Logan Grosenick, Brad Klingenberg, Kiefer Katovich, Brian Knutson, Jonathan E. Taylor
2013 J jnl
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience.
CoRR
Randal C. Burns, William R. Gray Roncal, Dean Kleissas, Kunal Lillaney, Priya Manavalan, Eric A. Perlman, Daniel R. Berger, Davi Bock, Kwanghun Chung, Logan Grosenick, Narayanan Kasthuri, Nicholas C. Weiler, Karl Deisseroth, Michael M. Kazhdan, Jeff Lichtman, R. Clay Reid, Stephen J. Smith, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein
2013 B conf
The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.
SSDBM
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
2009 — conf
EEG Classification by ICA Source Selection of Laplacian-Filtered Data.
ISBI
Claudio Carvalhaes, Marcos Perreau Guimaraes, Logan Grosenick, Patrick Suppes
2009 — conf
Elastic Source Selection for In Vivo Imaging of Neuronal Ensembles.
ISBI
Logan Grosenick, Todd Anderson, Stephen J. Smith
2008 J jnl
Quantifying inter-subject agreement in brain-imaging analyses.
NeuroImage
Dik Kin Wong, Logan Grosenick, E. Timothy Uy, Marcos Perreau Guimaraes, Claudio Carvalhaes, Peter Desain, Patrick Suppes
2007 J jnl
Single-Trial Classification of MEG Recordings.
IEEE Trans. Biomed. Eng.
Marcos Perreau Guimaraes, Dik Kin Wong, E. Timothy Uy, Logan Grosenick, Patrick Suppes
2006 — conf
Multichannel Classification of Single EEG Trials with Independent Component Analysis.
ISNN (2)
Dik Kin Wong, Marcos Perreau Guimaraes, E. Timothy Uy, Logan Grosenick, Patrick Suppes