Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls. - Nicholas Meade; Nicholas Barreyre; Scott C. Lowe; Sageev Oore (ICCC, 2019)

Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test. - Lu Yihe; Scott C. Lowe; Penelope A. Lewis; Mark C. W. van Rossum (CoRR, 2019)

Logical Activation Functions: Logit-space equivalents of Boolean Operators. - Scott C. Lowe; Robert Earle; Jason d'Eon; Thomas Trappenberg; Sageev Oore (CoRR, 2021)

LogAvgExp Provides a Principled and Performant Global Pooling Operator. - Scott C. Lowe; Thomas Trappenberg; Sageev Oore (CoRR, 2021)

Label-free Monitoring of Self-Supervised Learning Progress. - Isaac Xu; Scott C. Lowe; Thomas Trappenberg (CCECE, 2022)

Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators. - Scott C. Lowe; Robert Earle; Jason d'Eon; Thomas Trappenberg; Sageev Oore (NeurIPS, 2022)

Echofilter: A Deep Learning Segmentation Model Improves the Automation, Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal Energy Streams. - Scott C. Lowe; Louise P. McGarry; Jessica Douglas; Jason Newport; Sageev Oore; Christopher Whidden; Daniel J. Hasselman (CoRR, 2022)

High Frequency-Low Amplitude Oscillometry: Continuous Unobtrusive Monitoring of Respiratory Function on PAP Machines. - Hamed Hanafi Alamdari; Luke Hacquebard; Stephen Driscoll; Kamal El-Sankary; David C. Roach; Robin LeBlanc; Scott C. Lowe; Sageev Oore; Thomas Penzel; Ingo Fietze; Michael Schmidt; Debra Morrison (IEEE Trans. Biomed. Eng., 2022)

A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset. - Zahra Gharaee; ZeMing Gong; Nicholas Pellegrino; Iuliia Zarubiieva; Joakim Bruslund Haurum; Scott C. Lowe; Jaclyn T. A. McKeown; Chris C. Y. Ho; Joschka McLeod; Yi-Yun C. Wei; Jireh Agda; Sujeevan Ratnasingham; et al. (NeurIPS, 2023)

BarcodeBERT: Transformers for Biodiversity Analysis. - Pablo Millan Arias; Niousha Sadjadi; Monireh Safari; ZeMing Gong; Austin T. Wang; Scott C. Lowe; Joakim Bruslund Haurum; Iuliia Zarubiieva; Dirk Steinke; Lila Kari; Angel X. Chang; Graham W. Taylor (CoRR, 2023)

The Beginning of the AI-Enabled Preventative PAP Therapy Era: A First-in-Human Proof of Concept Interventional Study. - Meagan Sinclair; Hamed Hanafi Alamdari; Julia Paffile; Kamal El-Sankary; Scott C. Lowe; Stephen Driscoll; Sageev Oore; Heather Tomson; Gregory Begin; Guillermo Aristi; Michael Schmidt; David C. Roach; et al. (IEEE Trans. Biomed. Eng., 2023)

Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery. - Isaac Xu; Benjamin Misiuk; Scott C. Lowe; Martin Gillis; Thomas Trappenberg; Craig J. Brown (IJCNN, 2024)

BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity. - Zahra Gharaee; Scott C. Lowe; ZeMing Gong; Pablo Millan Arias; Nicholas Pellegrino; Austin T. Wang; Joakim Bruslund Haurum; Iuliia Zarubiieva; Lila Kari; Dirk Steinke; Graham W. Taylor; Paul W. Fieguth; et al. (NeurIPS, 2024)

BenthicNet: A global compilation of seafloor images for deep learning applications. - Scott C. Lowe; Benjamin Misiuk; Isaac Xu; Shakhboz Abdulazizov; Amit R. Baroi; Alex C. Bastos; Merlin Best; Vicki Ferrini; Ariell Friedman; Deborah Hart; Ove Hoegh-Guldberg; Daniel Ierodiaconou; et al. (CoRR, 2024)

BIOSCAN-CLIP: Bridging Vision and Genomics for Biodiversity Monitoring at Scale. - ZeMing Gong; Austin T. Wang; Joakim Bruslund Haurum; Scott C. Lowe; Graham W. Taylor; Angel X. Chang (CoRR, 2024)

An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders. - Scott C. Lowe; Joakim Bruslund Haurum; Sageev Oore; Thomas B. Moeslund; Graham W. Taylor (CoRR, 2024)

System 2 Reasoning Capabilities Are Nigh. - Scott C. Lowe (CoRR, 2024)

Towards a Taxonomy Machine: A Training Set of 5.6 Million Arthropod Images. - Dirk Steinke; Sujeevan Ratnasingham; Jireh Agda; Hamzah Ait Boutou; Isaiah C. H. Box; Mary Boyle; Dean Chan; Corey Feng; Scott C. Lowe; Jaclyn T. A. McKeown; Joschka McLeod; Alan G. Sanchez; et al. (Data, 2024)

CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale. - ZeMing Gong; Austin T. Wang; Xiaoliang Huo; Joakim Bruslund Haurum; Scott C. Lowe; Graham W. Taylor; Angel X. Chang (ICLR, 2025)

Enhancing DNA Foundation Models to Address Masking Inefficiencies. - Monireh Safari; Pablo Millan Arias; Scott C. Lowe; Lila Kari; Angel X. Chang; Graham W. Taylor (CoRR, 2025)

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens. - Alyson East; Elizabeth G. Campolongo; Luke Meyers; S. M. Rayeed; Samuel Stevens 001; Iuliia Zarubiieva; Isadora E. Fluck; Jennifer C. Girón; Maximiliane Jousse; Scott C. Lowe; Kayla I Perry; Isabelle Betancourt; et al. (CoRR, 2025)

A multi-modal dataset for insect biodiversity with imagery and DNA at the trap and individual level. - Johanna Orsholm; John Quinto; Hannu Autto; Gaia Banelyte; Nicolas Chazot; Jeremy deWaard; Stephanie deWaard; Arielle Farrell; Brendan Furneaux; Bess Hardwick; Nao Ito; Amlan Kar; et al. (CoRR, 2025)