Fourier-ring descriptor to characterize rare circulating cells from images generated using immunofluorescence microscopy. - Tegan Emerson; Michael Kirby; Kelly Bethel; Anand Kolatkar; Madelyn Luttgen; Stephen O'Hara; Paul K. Newton; Peter Kuhn (Comput. Medical Imaging Graph., 2015)

Persistence Images: An Alternative Persistent Homology Representation. - Sofya Chepushtanova; Tegan Emerson; Eric M. Hanson; Michael Kirby; Francis C. Motta; Rachel Neville; Chris Peterson 001; Patrick D. Shipman; Lori Ziegelmeier (CoRR, 2015)

Reduced dimension estimators in matched subspace detection. - Tegan Emerson; Michael Kirby; Chris Peterson 001; Louis Scharf (WHISPERS, 2016)

Persistence Images: A Stable Vector Representation of Persistent Homology. - Henry Adams; Tegan Emerson; Michael Kirby; Rachel Neville; Chris Peterson 001; Patrick D. Shipman; Sofya Chepushtanova; Eric M. Hanson; Francis C. Motta; Lori Ziegelmeier (J. Mach. Learn. Res., 2017)

Path Orthogonal Matching Pursuit for Sparse Reconstruction and Denoising of SWIR Maritime Imagery. - Timothy Doster; Tegan Emerson; Colin C. Olson (CVPR Workshops, 2018)

Path Orthogonal Matching Pursuit for k-Sparse Image Reconstruction. - Tegan H. Emerson; Timothy Doster; Colin C. Olson (EUSIPCO, 2018)

Path-Based Background Model Augmentation for Hyperspectral Anomaly Detection. - Tegan H. Emerson; Timothy Doster; Colin C. Olson (WHISPERS, 2018)

Image Recovery in the Infrared Domain via Path-Augmented Compressive Sampling Matching Pursuit. - Tegan H. Emerson; Colin C. Olson; Anthony Lutz (CVPR Workshops, 2019)

Generative And Encoded Anomaly Detectors. - Tegan H. Emerson; Jason A. Edelberg; Timothy Doster; Nicholas Merrill; Colin C. Olson (WHISPERS, 2019)

Motion Segmentation via Generalized Curvatures. - Robert T. Arn; Pradyumna Narayana; Tegan Emerson; Bruce A. Draper; Michael Kirby; Chris Peterson 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Rotational Equivariance for Object Classification Using xView. - Lucius Bynum; Timothy Doster; Tegan H. Emerson; Henry Kvinge (IGARSS, 2020)

Argumentative Topology: Finding Loop(holes) in Logic. - Sarah Tymochko; Zachary New; Lucius Bynum; Emilie Purvine; Timothy Doster; Julien Chaput; Tegan Emerson (CoRR, 2020)

Fitting local, low-dimensional parameterizations of optical turbulence modeled from optimal transport velocity vectors. - Tegan H. Emerson; Jonathan M. Nichols (Pattern Recognit. Lett., 2020)

Path-Based Dictionary Augmentation: A Framework for Improving k-Sparse Image Processing. - Tegan H. Emerson; Colin C. Olson; Timothy Doster (IEEE Trans. Image Process., 2020)

Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis. - Sarah Tymochko; Julien Chaput; Timothy Doster; Emilie Purvine; Jackson Warley; Tegan Emerson (ICMLA, 2021)

A Topological Approach for Motion Track Discrimination. - Tegan Emerson; Sarah Tymochko; George Stantchev; Jason A. Edelberg; Michael Wilson; Colin C. Olson (CoRR, 2021)

A Topological-Framework to Improve Analysis of Machine Learning Model Performance. - Henry Kvinge; Colby Wight; Sarah Akers; Scott Howland; Woongjo Choi; Xiaolong Ma; Luke J. Gosink; Elizabeth Jurrus; Keerti Kappagantula; Tegan H. Emerson (CoRR, 2021)

Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing. - Loc Truong; WoongJo Choi; Colby Wight; Lizzy Coda; Tegan Emerson; Keerti Kappagantula; Henry Kvinge (CoRR, 2021)

Do neural networks trained with topological features learn different internal representations? - Sarah McGuire; Shane Jackson; Tegan Emerson; Henry Kvinge (NeurReps, 2022)

On the Symmetries of Deep Learning Models and their Internal Representations. - Charles Godfrey; Davis Brown; Tegan Emerson; Henry Kvinge (NeurIPS, 2022)

In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? - Henry Kvinge; Tegan Emerson; Grayson Jorgenson; Scott Vasquez; Tim Doster; Jesse D. Lew (NeurIPS, 2022)

Preface. - Alexander Cloninger; Timothy Doster; Tegan Emerson; Manohar Kaul; Ira Ktena; Henry Kvinge; Nina Miolane; Bastian Rice; Sarah Tymochko; Guy Wolf (TAG-ML, 2022)

Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. - Elizabeth Coda; Nico Courts; Colby Wight; Loc Truong; WoongJo Choi; Charles Godfrey; Tegan Emerson; Keerti Kappagantula; Henry Kvinge (TAG-ML, 2022)

Random Filters for Enriching the Discriminatory power of Topological Representations. - Grayson Jorgenson; Henry Kvinge; Tegan Emerson; Colin C. Olson (TAG-ML, 2022)

TopTemp: Parsing Precipitate Structure from Temper Topology. - Lara Kassab; Scott Howland; Henry Kvinge; Keerti Sahithi Kappagantula; Tegan Emerson (TAG-ML, 2022)

Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them. - Henry Kvinge; Grayson Jorgenson; Davis Brown; Charles Godfrey; Tegan Emerson (CoRR, 2022)

TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data. - Audun Myers; Henry Kvinge; Tegan Emerson (CVPR Workshops, 2023)

Internal representations of vision models through the lens of frames on data manifolds. - Henry Kvinge; Grayson Jorgenson; Davis Brown; Charles Godfrey; Tegan Emerson (NeurReps, 2023)

Haldane bundles: a dataset for learning to predict the Chern number of line bundles on the torus. - Cody Tipton; Elizabeth Coda; Davis Brown; Alyson Bittner; Jung Lee; Grayson Jorgenson; Tegan Emerson; Henry Kvinge (NeurReps, 2023)

Preface. - Timothy Doster; Tegan Emerson; Henry Kvinge; Nina Miolane; Mathilde Papillon; Bastian Rieck; Sophia Sanborn (TAG-ML, 2023)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing. - Scott Howland; Lara Kassab; Keerti Kappagantula; Henry Kvinge; Tegan Emerson (CoRR, 2023)

Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction. - Michael G. Rawson; Timothy Doster; Tegan Emerson (CoRR, 2023)

ICML 2023 Topological Deep Learning Challenge : Design and Results. - Mathilde Papillon; Mustafa Hajij; Florian Frantzen; Josef Hoppe; Helen Jenne; Johan Mathe; Audun Myers; Theodore Papamarkou; Michael T. Schaub; Ghada Zamzmi; Tolga Birdal; Tamal K. Dey; et al. (CoRR, 2023)

Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus. - Cody Tipton; Elizabeth Coda; Davis Brown; Alyson Bittner; Jung H. Lee; Grayson Jorgenson; Tegan Emerson; Henry Kvinge (CoRR, 2023)

Data-Driven Invertible Neural Surrogates of Atmospheric Transmission. - James Koch; Brenda Forland; Bruce Bernacki; Timothy Doster; Tegan Emerson (IGARSS, 2024)

Stars: Sensor-Agnostic Transformer Architecture for Remote Sensing. - Ethan King; Jaime Rodriguez; Diego Llanes; Timothy Doster; Tegan Emerson; James Koch (WHISPERS, 2024)

Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities. - Sai Munikoti; Ian Stewart; Sameera Horawalavithana; Henry Kvinge; Tegan Emerson; Sandra E. Thompson; Karl Pazdernik (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)