David Carlyn

Publication Activity (10 Years)

Years Active: 2023-2023
Publications (10 Years): 5

Top Topics

Incremental Learning

Multiple Images

Top Venues

Publications

Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
Learning Fractals by Gradient Descent. CoRR (2023)
Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. KDD (2023)
Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. CoRR (2023)
Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. CoRR (2023)
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
Learning Fractals by Gradient Descent. AAAI (2023)