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Matrix-normal models for fMRI analysis.

M. Shvartsman, N. Sundaram, M. Aoi, A. Charles, T. Willke, and J. Cohen. AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1914-1923. PMLR, (2018)

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Adam Gyula University of Stuttgart

Charles Clark University of Stuttgart

Sabrina Adam University of Stuttgart

Galina Adam University of Stuttgart

Prof. Dr. -Ing. Jürgen Axel Adam University of Stuttgart

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Prospective Learning: Back to the Future.J. Vogelstein, T. Verstynen, K. Kording, L. Isik, J. Krakauer, R. Etienne-Cummings, E. Ogburn, C. Priebe, R. Burns, K. Kutten and 53 other author(s). CoRR, (2022)Cleaning up toxic waste: Removing nefarious contributions to recommendation systems.A. Charles, A. Ahmed, A. Joshi, S. Conover, C. Turnes, and M. Davenport. ICASSP, page 6571-6575. IEEE, (2013)Matrix-normal models for fMRI analysis.M. Shvartsman, N. Sundaram, M. Aoi, A. Charles, T. Willke, and J. Cohen. AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1914-1923. PMLR, (2018)Learning Spatially-correlated Temporal Dictionaries for Calcium Imaging.G. Mishne, and A. Charles. ICASSP, page 1065-1069. IEEE, (2019)Sparsity penalties in dynamical system estimation.A. Charles, M. Asif, J. Romberg, and C. Rozell. CISS, page 1-6. IEEE, (2011)Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability.A. Charles, M. Park, J. Weller, G. Horwitz, and J. Pillow. Neural Computation, (2018)Learning Sparse Codes for Hyperspectral Imagery.A. Charles, B. Olshausen, and C. Rozell. J. Sel. Topics Signal Processing, 5 (5): 963-978 (2011)Dynamic filtering of sparse signals using reweighted ℓ1.A. Charles, and C. Rozell. ICASSP, page 6451-6455. IEEE, (2013)Spectral Superresolution of Hyperspectral Imagery Using Reweighted ℓ1 Spatial Filtering.A. Charles, and C. Rozell. IEEE Geosci. Remote. Sens. Lett., 11 (3): 602-606 (2014)Short-Term Memory Capacity in Networks via the Restricted Isometry Property.A. Charles, H. Yap, and C. Rozell. Neural Computation, 26 (6): 1198-1235 (2014)