Timothy Doster

According to our database, Timothy Doster authored at least 23 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.

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, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane

Proceedings of the Topological, 2023

Preface.

Timothy Doster, Tegan Emerson, Henry Kvinge, Nina Miolane, Mathilde Papillon, Bastian Rieck, Sophia Sanborn

Proceedings of the Topological, 2023

How many dimensions are required to find an adversarial example?

Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Preface.

Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf

Proceedings of the Topological, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

DNA: Dynamic Network Augmentation.

Scott Mahan, Tim Doster, Henry Kvinge

CoRR, 2021

Reward-Free Attacks in Multi-Agent Reinforcement Learning.

Ted Fujimoto, Timothy Doster, Adam Attarian, Jill Brandenberger, Nathan Hodas

CoRR, 2021

Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions.

Scott Mahan, Henry Kvinge, Tim Doster

CoRR, 2021

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

Sarah Tymochko, Julien Chaput, Timothy Doster, Emilie Purvine, Jackson Warley, Tegan Emerson

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.

Tegan H. Emerson, Colin C. Olson, Timothy Doster

IEEE Trans. Image Process., 2020

Argumentative Topology: Finding Loop(holes) in Logic.

Sarah Tymochko, Zachary New, Lucius Bynum, Emilie Purvine, Timothy Doster, Julien Chaput, Tegan Emerson

CoRR, 2020

Rotational Equivariance for Object Classification Using xView.

Lucius Bynum, Timothy Doster, Tegan H. Emerson, Henry Kvinge

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

2019

Generative And Encoded Anomaly Detectors.

Tegan H. Emerson, Jason A. Edelberg, Timothy Doster, Nicholas Merrill, Colin C. Olson

Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

2018

Path-Based Background Model Augmentation for Hyperspectral Anomaly Detection.

Tegan H. Emerson, Timothy Doster, Colin C. Olson

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.

Tegan H. Emerson, Timothy Doster, Colin C. Olson

Proceedings of the 26th European Signal Processing Conference, 2018

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

Timothy Doster, Tegan Emerson, Colin C. Olson

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

A Novel Detection Paradigm and Its Comparison to Statistical and Kernel-Based Anomaly Detection Algorithms for Hyperspectral Imagery.

Colin C. Olson, Timothy Doster

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Selecting an Optimized COTS Filter Set for Multispectral Plenoptic Sensing.

Timothy Doster, Colin C. Olson, Erin Fleet, Michael Yetzbacher

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Gradual DropIn of Layers to Train Very Deep Neural Networks.

Leslie N. Smith, Emily M. Hand, Timothy Doster

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014

Operator analysis and diffusion based embeddings for heterogeneous data fusion.

Alexander Cloninger, Wojciech Czaja, Timothy Doster

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

A case study on data fusion with overlapping segments.

Alexander Cloninger, Wojciech Czaja, Timothy Doster

Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2013