Thomas Merkh

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 9

Top Topics

Mutual Information Maximization

Negative Matrix Factorization

Feedforward Neural Networks

Document Classification

Top Venues

SIAM J. Appl. Algebra Geom.

Publications

Kathlén Kohn, Thomas Merkh, Guido Montúfar, Matthew Trager
Geometry of Linear Convolutional Networks. SIAM J. Appl. Algebra Geom. 6 (3) (2022)
Elena Sizikova, Joshua Vendrow, Xu Cao, Rachel Grotheer, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Thomas Merkh, R. W. M. A. Madushani, Kenny Moise, Annie Ulichney, Huy V. Vo, Chuntian Wang, Megan Coffee, Kathryn Leonard, Deanna Needell
Automatic Infectious Disease Classification Analysis with Concept Discovery. CoRR (2022)
Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
Semi-supervised Nonnegative Matrix Factorization for Document Classification. CoRR (2022)
Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
Semi-supervised Nonnegative Matrix Factorization for Document Classification. ACSCC (2021)
Kathlén Kohn, Thomas Merkh, Guido Montúfar, Matthew Trager
Geometry of Linear Convolutional Networks. CoRR (2021)
Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
Semi-supervised NMF Models for Topic Modeling in Learning Tasks. CoRR (2020)
Thomas Merkh, Guido Montúfar
Factorized mutual information maximization. Kybernetika 56 (5) (2020)
Thomas Merkh, Guido Montúfar
Factorized Mutual Information Maximization. CoRR (2019)
Thomas Merkh, Guido Montúfar
Stochastic Feedforward Neural Networks: Universal Approximation. CoRR (2019)