Galileo: Learning Global & Local Features of Many Remote Sensing Modalities. [Juried Poster]. Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James Green, Evan Shelhamer, Hannah Kerner, David Rolnick. July 2025. ICML 2025. ICML Version, Arxiv DOI
Feedforward Few-shot Species Range Estimation. Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Angela Zhu, Subhransu Maji, Grant Horn, Oisin Mac Aodha. July 2025. ICML 2025. ICML Version, Arxiv DOI.
A multi-modal dataset for insect biodiversity with imagery and DNA at the trap and individual level. [Preprint]. Johanna Orsholm, John Quinto, Hannu Autto, Gaia Banelyte, Nicolas Chazot, Jeremy deWaard, Stephanie deWaard, Arielle Farrell, Brendan Furneaux, Bess Hardwick, Nao Ito, Amlan Kar, Oula Kalttopää, Deirdre Kerdraon, Erik Kristensen, Jaclyn McKeown, Tommi Mononen, Ellen Nein, Hanna Rogers, Tomas Roslin, Paula Schmitz, Jayme Sones, Maija Sujala, Amy Thompson, Evgeny V. Zakharov, Iuliia Zarubiieva, Akshita Gupta, Scott C. Lowe, Graham W. Taylor. Arxiv DOI
Integrating AI models into ecological research workflows: The case of terrestrial bioacoustics. [In press]. Kitzes, J., Chronister, L., Czarnecki, C., Fiss, C., Freeland-Haynes, L., Goodman, B.D., Lapp, S., Lyon, R.P., Nossan, H., Rhinehart, T.A., Ruiz-Guzman, S., Syunkova, A., & Viotti, L. Methods in Ecology and Evolution.
WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs. NN Dat, T Richardson, M Watson, K Meier, J Kline, S Reid, G Maalouf, D Hine, M Mirmehdi, T Burghardt. 38th IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Computer Vision for Animal Behavior Tracking and Modeling (CV4Animals), June 2025. DOI
Great Ape Work on Background. O Brookes, M Kukushkin, M Mirmehdi, C Stephens, P Dieguez, TC Hicks, S Jones, K Lee, MS McCarthy, A Meier, E Normand, EG Wessling, RM Wittig, K Langergraber, K Zuberbuehler, L Boesch, T Schmid, M Arandjelovic, H Kuehl, T Burghardt. The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition. 38th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5433-5443, June 2025. (CVPR 2025 Best Paper Award Candidate), (CVF Version), (Arxiv PDF), (Supplementary), (Website).
Application-Driven Innovation in Machine Learning. Rolnick, D.; Aspuru-Guzik, A.; Beery, S.; Dilkina, B.; Donti, P. L.; Ghassemi, M.; Kerner, H.; Monteleoni, C.; Rolf, E.; Tambe, M.; and White, A. March 2024. arXiv:2403.17381 DOI
2. Wrensford, K.C., Angert, A., Gaynor, K.M. Linking individual animal behavior to species range shifts under climate change. In preparation.
3. Pollock, L., Beery, S., Berger-Wolf, T., Gaynor, K.M., Jarzyna, M., Mac Aodha, O., Rolnick, D., Taylor, G., Tuia, D. & Kitzes, J. Harnessing AI to fill global biodiversity shortfalls. In preparation.
A landmark environmental law looks ahead. Fischman, R. L.; Ruhl, J. B.; Forester, B. R.; Lama, T. M.; Kardos, M.; Rojas, G. A.; Robinson, N. A.; Shirey, P. D.; Lamberti, G. A.; Ando, A. W.; Palumbi, S.; Wara, M.; Schwartz, M. W.; Williamson, M. A.; Berger-Wolf, T.; Beery, S.; Rolnick, D.; Kitzes, J.; Thau, D.; Tuia, D.; Rubenstein, D.; Hickman, C. R.; Thorstenson, J.; Kaebnick, G. E.; Collins, J. P.; Jayaram, A.; Deleuil, T.; and Zhao, Y. Science, 382(6677): 1348–1355. December 2023. Publisher: American Association for the Advancement of Science. DOI