Thomas Merkh

According to our database, Thomas Merkh authored at least 6 papers between 2019 and 2022.

Collaborative distances:

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

2022

Geometry of Linear Convolutional Networks.

Kathlén Kohn, Thomas Merkh, Guido Montúfar, Matthew Trager

SIAM J. Appl. Algebra Geom., 2022

Automatic Infectious Disease Classification Analysis with Concept Discovery.

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

CoRR, 2022

2021

Semi-supervised Nonnegative Matrix Factorization for Document Classification.

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

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Factorized mutual information maximization.

Thomas Merkh, Guido Montúfar

Kybernetika, 2020

Semi-supervised NMF Models for Topic Modeling in Learning Tasks.

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

CoRR, 2020

2019

Stochastic Feedforward Neural Networks: Universal Approximation.

Thomas Merkh, Guido Montúfar

CoRR, 2019