Tegan Emerson

Orcid: 0000-0002-1898-5923

Affiliations:
  • Pacific Northwest National Laboratory, Richland, WA, USA
  • Colorado State University, Fort Collins, CO, USA (PhD 2017)


According to our database1, Tegan Emerson authored at least 36 papers between 2015 and 2024.

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Bibliography

2024
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
CoRR, 2024

Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities.
CoRR, 2024

Data-Driven Invertible Neural Surrogates of Atmospheric Transmission.
Proceedings of the IGARSS 2024, 2024

2023
Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus.
CoRR, 2023

ICML 2023 Topological Deep Learning Challenge : Design and Results.
CoRR, 2023

Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction.
CoRR, 2023

Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing.
CoRR, 2023



TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them.
CoRR, 2022

TopTemp: Parsing Precipitate Structure from Temper Topology.
Proceedings of the Topological, 2022

Random Filters for Enriching the Discriminatory power of Topological Representations.
Proceedings of the Topological, 2022

Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps.
Proceedings of the Topological, 2022


In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Symmetries of Deep Learning Models and their Internal Representations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Do neural networks trained with topological features learn different internal representations?
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

2021
Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing.
CoRR, 2021

A Topological-Framework to Improve Analysis of Machine Learning Model Performance.
CoRR, 2021

A Topological Approach for Motion Track Discrimination.
CoRR, 2021

Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Path-Based Dictionary Augmentation: A Framework for Improving k-Sparse Image Processing.
IEEE Trans. Image Process., 2020

Fitting local, low-dimensional parameterizations of optical turbulence modeled from optimal transport velocity vectors.
Pattern Recognit. Lett., 2020

Argumentative Topology: Finding Loop(holes) in Logic.
CoRR, 2020

Rotational Equivariance for Object Classification Using xView.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Motion Segmentation via Generalized Curvatures.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Generative And Encoded Anomaly Detectors.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Image Recovery in the Infrared Domain via Path-Augmented Compressive Sampling Matching Pursuit.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Path-Based Background Model Augmentation for Hyperspectral Anomaly Detection.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Path Orthogonal Matching Pursuit for k-Sparse Image Reconstruction.
Proceedings of the 26th European Signal Processing Conference, 2018

Path Orthogonal Matching Pursuit for Sparse Reconstruction and Denoising of SWIR Maritime Imagery.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Persistence Images: A Stable Vector Representation of Persistent Homology.
J. Mach. Learn. Res., 2017

2016
Reduced dimension estimators in matched subspace detection.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

2015
Persistence Images: An Alternative Persistent Homology Representation.
CoRR, 2015

Fourier-ring descriptor to characterize rare circulating cells from images generated using immunofluorescence microscopy.
Comput. Medical Imaging Graph., 2015


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