Keith B. Hengen

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Generation Method

Computer Vision

Genetic Algorithm

Neural Computation

Top Venues

Internet Things

Publications

Carolina Urzay, Nauman Ahad, Mehdi Azabou, Aidan Schneider, Geethika Atamkuri, Keith B. Hengen, Eva L. Dyer
Detecting change points in neural population activity with contrastive metric learning. NER (2023)
Nauman Ahad, Eva L. Dyer, Keith B. Hengen, Yao Xie, Mark A. Davenport
Learning Sinkhorn divergences for supervised change point detection. CoRR (2022)
David F. Parks, Kateryna Voitiuk, Jinghui Geng, Matthew A. T. Elliott, Matthew G. Keefe, Erik A. Jung, Ash Robbins, Pierre V. Baudin, Victoria T. Ly, Nico Hawthorne, Dylan Yong, Sebastian E. Sanso, Nick Rezaee, Jess L. Sevetson, Spencer T. Seiler, Robert Currie, Alex A. Pollen, Keith B. Hengen, Tomasz J. Nowakowski, Mohammed Andres Mostajo-Radji, Sofie R. Salama, Mircea Teodorescu, David Haussler
IoT cloud laboratory: Internet of Things architecture for cellular biology. Internet Things 20 (2022)
Ran Liu, Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith B. Hengen, Michal Valko, Eva L. Dyer
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity. CoRR (2021)
Mehdi Azabou, Mohammad Gheshlaghi Azar, Ran Liu, Chi-Heng Lin, Erik C. Johnson, Kiran Bhaskaran-Nair, Max Dabagia, Keith B. Hengen, William R. Gray Roncal, Michal Valko, Eva L. Dyer
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction. CoRR (2021)
Ran Liu, Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith B. Hengen, Michal Valko, Eva L. Dyer
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity. NeurIPS (2021)