A case study on data fusion with overlapping segments. - Alexander Cloninger; Wojciech Czaja; Timothy Doster (AIPR, 2013)

Operator analysis and diffusion based embeddings for heterogeneous data fusion. - Alexander Cloninger; Wojciech Czaja; Timothy Doster (IGARSS, 2014)

Harmonic Analysis Inspired Data Fusion for Applications in Remote Sensing. - Timothy Doster (2014)

Gradual DropIn of Layers to Train Very Deep Neural Networks. - Leslie N. Smith; Emily M. Hand; Timothy Doster (CVPR, 2016)

Selecting an Optimized COTS Filter Set for Multispectral Plenoptic Sensing. - Timothy Doster; Colin C. Olson; Erin Fleet; Michael Yetzbacher (CVPR Workshops, 2017)

A Novel Detection Paradigm and Its Comparison to Statistical and Kernel-Based Anomaly Detection Algorithms for Hyperspectral Imagery. - Colin C. Olson; Timothy Doster (CVPR Workshops, 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)

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

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)

Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions. - Scott Mahan; Henry Kvinge; Tim Doster (CoRR, 2021)

Reward-Free Attacks in Multi-Agent Reinforcement Learning. - Ted Fujimoto; Timothy Doster; Adam Attarian; Jill Brandenberger; Nathan Hodas (CoRR, 2021)

DNA: Dynamic Network Augmentation. - Scott Mahan; Tim Doster; Henry Kvinge (CoRR, 2021)

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)

How many dimensions are required to find an adversarial example? - Charles Godfrey; Henry Kvinge; Elise Bishoff; Myles Mckay; Davis Brown; Tim Doster; Eleanor Byler (CVPR Workshops, 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)

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)

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)

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)

Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization. - Darryl Hannan; John Cooper; Dylan White; Timothy Doster; Henry Kvinge; Yijing Watkins (CVPR Workshops, 2025)

On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms. - Luke E. Richards; Jessie Yaros; Jasen Babcock; Coung Ly; Robin Cosbey; Timothy Doster; Cynthia Matuszek (CoRR, 2025)

FMG-Det: Foundation Model Guided Robust Object Detection. - Darryl Hannan; Timothy Doster; Henry Kvinge; Adam Attarian; Yijing Watkins (CoRR, 2025)

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge. - Eric Yeats; Darryl Hannan; Henry Kvinge; Timothy Doster; Scott Mahan (CoRR, 2025)