Publications

For a full publications list with citation counts, please see my Google Scholar page.

Publications

2025

A Loopy Framework and Tool for Real-time Human-AI Music Collaboration

Sageev Oore*, Finlay Miller*, Chandramouli Shama Sastry, Sri Harsha Dumpala, Marvin F. da Silva, Daniel Oore, Scott C. Lowe

Artificial Intelligence for Music: Where Creativity Meets Computation Workshop, NeurIPS 2025

music
2025

BugSR: Improving Tiny Instance Segmentation on the MassID45 Dataset

John Quinto, Scott C. Lowe, Akshita Gupta, Johanna Orsholm, Prajakta Darade, Iuliia Zarubiieva, Brendan Furneaux, Tommi Mononen, Tomas Roslin, Graham W. Taylor

Imageomics: Discovering Biological Knowledge from Images Using AI Workshop, NeurIPS 2025

image segmentation biodiversity insect vision
2025

BarcodeMamba+: Advancing State-Space Models for Fungal Biodiversity Research

Tiancheng Gao, Scott C. Lowe, Brendan Furneaux, Angel X. Chang, Graham W. Taylor

Imageomics: Discovering Biological Knowledge from Images Using AI Workshop, NeurIPS 2025

DNA biodiversity self-supervised learning
2025

Understanding and Improving the Shampoo Optimizer via Kullback-Leibler Minimization

Wu Lin, Scott C. Lowe, Felix Dangel, Runa Eschenhagen, Zikun Xu, Roger B. Grosse

OPT 2025: Optimization for Machine Learning Workshop, NeurIPS 2025

optimization language
2025

Hyperbolic Multimodal Representation Learning for Biological Taxonomies

ZeMing Gong, Chuanqi Tang, Xiaoliang Huo, Nicholas Pellegrino, Austin Wang, Graham W. Taylor, Angel X. Chang, Scott C. Lowe†, Joakim Bruslund Haurum†

2nd Beyond Euclidean Workshop: Hyperbolic and Hyperspherical Learning for Computer Vision Workshop, ICCV 2025

self-supervised learning hierarchical multimodal vision DNA language biodiversity insect
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, 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

Imageomics: Discovering Biological Knowledge from Images Using AI Workshop, NeurIPS 2025

dataset biodiversity insect vision image segmentation DNA multimodal
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, Iuliia Zarubiieva, Isadora E. Fluck, Jennifer C. Girón, Maximiliane Jousse, Scott Lowe, Kayla I. Perry, Isabelle Betancourt, Noah Charney, Evan Donoso, Nathan Fox, Kim J. Landsbergen, Ekaterina Nepovinnykh, Michelle Ramirez, Parkash Singh, Khum Thapa-Magar, Matthew Thompson, Evan Waite, Tanya Berger-Wolf, Hilmar Lapp, Paula Mabee, Graham Taylor, Sydne Record

Methods in Ecology and Evolution, 00, 1–16, 2025

biodiversity insect vision
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

Artificial Intelligence for Nucleic Acids (AI4NA) Workshop, ICLR 2025

self-supervised learning DNA biodiversity insect
2025

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

The Thirteenth International Conference on Learning Representations (ICLR 2025)

self-supervised learning multimodal vision DNA language biodiversity insect
2025

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, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O'Brien, Elizabeth Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C.G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown†, Thomas Trappenberg†

Scientific Data 12 (1), 230, 2025

self-supervised learning vision dataset biodiversity ocean
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 Fieguth†, Angel X. Chang†

Advances in Neural Information Processing Systems 37 (NeurIPS 2024)

dataset self-supervised learning multimodal biodiversity insect vision DNA language
2024

System 2 Reasoning Capabilities Are Nigh

Scott C. Lowe

The First Workshop on System-2 Reasoning at Scale, NeurIPS 2024

reasoning language
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 Sanchez, Ian Smith, Spencer Walker, Catherine Y.-Y. Wei, Paul D.N. Hebert

Data 9 (11), 122, 2024

dataset biodiversity insect
2024

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

2024 International Joint Conference on Neural Networks (IJCNN), 1–10, 2024

vision hierarchical biodiversity ocean
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†

Foundation Models in the Wild Workshop, ICML 2024

self-supervised learning vision
2023

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, Dirk Steinke†, Angel X. Chang†, Graham W. Taylor†, Paul Fieguth†

Advances in Neural Information Processing Systems 36 (NeurIPS 2023)

dataset vision DNA biodiversity insect
2023

BarcodeBERT: Transformers for Biodiversity Analysis

Pablo Millan Arias*, Niousha Sadjadi*, Monireh Safari*, ZeMing Gong, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Dirk Steinke, Lila Kari, Angel X. Chang, Scott C. Lowe†, Graham W. Taylor†

Self-Supervised Learning — Theory and Practice Workshop, NeurIPS 2023

self-supervised learning DNA biodiversity insect
2023

Prevention of obstructive apnea events with machine learning

Hamed Hanafi, Julia Paffile, Meagan Sinclair, Kamal El-Sankary, Scott Lowe, Sageev Oore, Stephen Driscoll, Thomas Penzel, Ingo Fietze, Sanjay Patel, Reena Mehra, Debra Morrison

European Respiratory Journal 62 (suppl 67), 2023

sleep apnea forecasting
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 Roach, Thomas Penzel, Ingo Fietze, Sanjay R. Patel, Reena Mehra, Debra Morrison

IEEE Transactions on Biomedical Engineering 70 (10), 2776–2787, 2023

sleep apnea forecasting
2022

Logical Activation Functions: Logit-space equivalents of Boolean Operators

Scott C. Lowe, Robert Earle, Jason d'Eon, Thomas Trappenberg, Sageev Oore

Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

neural architecture
2022

Label-free Monitoring of Self-Supervised Learning Progress

Isaac Xu, Scott C. Lowe, Thomas Trappenberg

IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2022

self-supervised learning vision ocean
2022

Echofilter: A Deep Learning Segmention 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

Frontiers in Marine Science 9, 867857, 2022

image segmentation ocean
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 Transactions on Biomedical Engineering 69 (7), 2202–2211, 2021

sleep apnea forecasting
2021

LogAvgExp Provides a Principled and Performant Global Pooling Operator

Scott C. Lowe, Thomas Trappenberg, Sageev Oore

arXiv preprint arXiv:2111.01742

neural architecture
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

arXiv preprint arXiv:1911.07721

reasoning vision
2019

Exploring conditioning for generative music systems with human-interpretable controls

Nicholas Meade*, Nicholas Barreyre*, Scott C. Lowe, Sageev Oore

10th International Conference on Computational Creativity, 2019

music language
2018

FISSA: A neuropil decontamination toolbox for calcium imaging signals

Sander W. Keemink*, Scott C. Lowe*, Janelle M.P. Pakan, Evelyn Dylda, Mark C.W. Van Rossum†, Nathalie L. Rochefort†

Scientific reports 8 (1), 3493, 2018

neuroscience toolbox
2018

Dopamine is signaled by mid-frequency oscillations and boosts output layers visual information in visual cortex

Daniel Zaldivar, Jozien Goense, Scott C. Lowe, Nikos K. Logothetis, Stefano Panzeri

Current Biology 28 (2), 224–235. e5, 2018

neuroscience information theory vision
2017

Decoding information from neural populations in the visual cortex

Scott C. Lowe

The University of Edinburgh, 2017

neuroscience information theory vision
2016

Behavioral-state modulation of inhibition is context-dependent and cell type specific in mouse visual cortex

Janelle M.P. Pakan, Scott C. Lowe, Evelyn Dylda, Sander W. Keemink, Stephen P. Currie, Christopher A. Coutts, Nathalie L. Rochefort

Elife 5, e14985, 2016

neuroscience vision
2015

Shifts of gamma phase across primary visual cortical sites reflect dynamic stimulus-modulated information transfer

Michel Besserve, Scott C. Lowe, Nikos K. Logothetis, Bernhard Schölkopf, Stefano Panzeri

PLoS biology 13 (9), e1002257, 2015

neuroscience information theory vision