Tegan Emerson

Gurusankar Gopalakrishnan

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

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

[BibT_eX]

[DOI]

Miquel Ferriol-Galmés

Mustafa Hajij

Theodore Papamarkou

Maria Sofia Bucarelli

Bertran Miquel-Oliver

Alessandro Salatiello

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge : Design and Results.

[BibT_eX]

[DOI]

Karthikeyan Natesan Ramamurthy

et al.

CoRR, 2023

Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction.

[BibT_eX]

[DOI]

Michael G. Rawson

Karthikeyan Natesan Ramamurthy

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge: Design and Results.

[BibT_eX]

[DOI]

Alessandro Salatiello

Kalyan Varma Nadimpalli

Proceedings of the Topological, 2023

Preface.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2023

Haldane bundles: a dataset for learning to predict the Chern number of line bundles on the torus.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

Internal representations of vision models through the lens of frames on data manifolds.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data.

[BibT_eX]

[DOI]

Audun Myers

Henry Kvinge

Keerti Sahithi Kappagantula

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.

[BibT_eX]

[DOI]

CoRR, 2022

TopTemp: Parsing Precipitate Structure from Temper Topology.

[BibT_eX]

[DOI]

Lara Kassab

Scott Howland

Henry Kvinge

Proceedings of the Topological, 2022

Random Filters for Enriching the Discriminatory power of Topological Representations.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2022

Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2022

Preface.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2022

In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

A Topological Approach for Motion Track Discrimination.

[BibT_eX]

[DOI]

CoRR, 2021

Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

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

[BibT_eX]

[DOI]

Jonathan M. Nichols

Pattern Recognit. Lett., 2020

Argumentative Topology: Finding Loop(holes) in Logic.

[BibT_eX]

[DOI]

CoRR, 2020

Rotational Equivariance for Object Classification Using xView.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Motion Segmentation via Generalized Curvatures.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Generative And Encoded Anomaly Detectors.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Anthony Lutz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Path-Based Background Model Augmentation for Hyperspectral Anomaly Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

Path Orthogonal Matching Pursuit for Sparse Reconstruction and Denoising of SWIR Maritime Imagery.

[BibT_eX]

[DOI]