Charles K. Fisher

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 11

Top Topics

Boltzmann Machines

Probabilistic Neural Networks

Disease Progression

Top Venues

Publications

Nameyeh Alam, Jake Basilico, Daniele Bertolini, Satish Casie Chetty, Heather D'Angelo, Ryan Douglas, Charles K. Fisher, Franklin Fuller, Melissa Gomes, Rishabh Gupta, Alex H. Lang, Anton Loukianov, Rachel Mak-McCully, Cary Murray, Hanalei Pham, Susanna Qiao, Elena Ryapolova-Webb, Aaron M. Smith, Dimitri Theoharatos, Anil Tolwani, Eric W. Tramel, Anna Vidovszky, Judy Viduya, Jonathan R. Walsh
Digital Twin Generators for Disease Modeling. CoRR (2024)
Alex H. Lang, Anton D. Loukianov, Charles K. Fisher
Neural Boltzmann Machines. CoRR (2023)
Charles K. Fisher
Can RBMs be trained with zero step contrastive divergence? CoRR (2022)
Daniele Bertolini, Anton D. Loukianov, Aaron M. Smith, David Li-Bland, Yannick Pouliot, Jonathan R. Walsh, Charles K. Fisher
Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins. CoRR (2020)
Jonathan R. Walsh, Aaron M. Smith, Yannick Pouliot, David Li-Bland, Anton Loukianov, Charles K. Fisher
Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks. CoRR (2020)
Aaron M. Smith, Jonathan R. Walsh, John Long, Craig B. Davis, Peter Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data. BMC Bioinform. 21 (1) (2020)
Charles K. Fisher, Yannick Pouliot, Aaron M. Smith, Jonathan R. Walsh
Generating Synthetic Control Patients Using Machine Learning for Alzheimer's Disease Clinical Trials. AMIA (2019)
Pankaj Mehta, Marin Bukov, Ching-Hao Wang, Alexandre G. R. Day, Clint Richardson, Charles K. Fisher, David J. Schwab
A high-bias, low-variance introduction to Machine Learning for physicists. CoRR (2018)
Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh
Using deep learning for comprehensive, personalized forecasting of Alzheimer's Disease progression. CoRR (2018)
Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh
Boltzmann Encoded Adversarial Machines. CoRR (2018)
Charles K. Fisher, Thierry Mora, Aleksandra M. Walczak
Variable habitat conditions drive species covariation in the human microbiota. PLoS Comput. Biol. 13 (4) (2017)
Charles K. Fisher, Pankaj Mehta
Bayesian Feature Selection with Strongly Regularizing Priors Maps to the Ising Model. Neural Comput. 27 (11) (2015)
Charles K. Fisher, Pankaj Mehta
Bayesian feature selection for high-dimensional linear regression via the Ising approximation with applications to genomics. Bioinform. 31 (11) (2015)
Charles K. Fisher, Pankaj Mehta
Bayesian feature selection with strongly-regularizing priors maps to the Ising Model. CoRR (2014)
Charles K. Fisher, Pankaj Mehta
Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation. CoRR (2014)
Charles K. Fisher
Variational Pseudolikelihood for Regularized Ising Inference. CoRR (2014)
Charles K. Fisher, Orly Ullman, Collin M. Stultz
Efficient Construction of Disordered Protein Ensembles in a Bayesian Framework with Optimal Selection of Conformations. Pacific Symposium on Biocomputing (2012)