David Carlyn

According to our database, David Carlyn authored at least 4 papers between 2023 and 2024.

Collaborative distances:

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

2024

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.

Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BioCLIP: A Vision Foundation Model for the Tree of Life.

Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles V. Stewart, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks.

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Fractals by Gradient Descent.

Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023