default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTegan Emerson
Person information
- affiliation: Pacific Northwest National Laboratory, Richland, WA, USA
- affiliation (PhD 2017): Colorado State University, Fort Collins, CO, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c19]James Koch, Brenda Forland, Bruce Bernacki, Timothy Doster, Tegan Emerson:
Data-Driven Invertible Neural Surrogates of Atmospheric Transmission. IGARSS 2024: 6943-6947- [i18]James Koch, Brenda Forland, Bruce Bernacki, Timothy Doster, Tegan Emerson:
Data-Driven Invertible Neural Surrogates of Atmospheric Transmission. CoRR abs/2404.19605 (2024) - [i17]Sai Munikoti, Ian Stewart, Sameera Horawalavithana, Henry Kvinge, Tegan Emerson, Sandra E. Thompson, Karl Pazdernik:
Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities. CoRR abs/2406.05496 (2024) - [i16]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, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson
, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - 2023
- [c18]Audun Myers, Henry Kvinge, Tegan Emerson:
TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data. CVPR Workshops 2023: 600-609 - [c17]Timothy Doster, Tegan Emerson, Henry Kvinge, Nina Miolane, Mathilde Papillon, Bastian Rieck, Sophia Sanborn:
Preface. TAG-ML 2023: 1-2 - [c16]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:
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 2023: 3-8 - [e2]Timothy Doster, Tegan Emerson, Henry Kvinge, Nina Miolane, Mathilde Papillon, Bastian Rieck, Sophia Sanborn:
Topological, Algebraic and Geometric Learning Workshops 2023, 28 July 2023, Honolulu, HI, USA. Proceedings of Machine Learning Research 221, PMLR 2023 [contents] - [i15]Scott Howland, Lara Kassab, Keerti Kappagantula, Henry Kvinge, Tegan Emerson:
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing. CoRR abs/2302.08495 (2023) - [i14]Michael G. Rawson, Timothy Doster, Tegan Emerson:
Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction. CoRR abs/2308.08653 (2023) - [i13]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.:
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR abs/2309.15188 (2023) - [i12]Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung H. Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge:
Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus. CoRR abs/2312.04600 (2023) - 2022
- [c15]Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge:
Do neural networks trained with topological features learn different internal representations? NeurReps 2022: 122-136 - [c14]Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge:
On the Symmetries of Deep Learning Models and their Internal Representations. NeurIPS 2022 - [c13]Henry Kvinge, Tegan Emerson, Grayson Jorgenson, Scott Vasquez, Tim Doster, Jesse D. Lew:
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? NeurIPS 2022 - [c12]Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf:
Preface. TAG-ML 2022: 1-5 - [c11]Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge:
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. TAG-ML 2022: 79-85 - [c10]Grayson Jorgenson, Henry Kvinge, Tegan Emerson, Colin C. Olson:
Random Filters for Enriching the Discriminatory power of Topological Representations. TAG-ML 2022: 183-188 - [c9]Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson:
TopTemp: Parsing Precipitate Structure from Temper Topology. TAG-ML 2022: 199-205 - [e1]Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf:
Topological, Algebraic and Geometric Learning Workshops 2022, 25-22 July 2022, Virtual. Proceedings of Machine Learning Research 196, PMLR 2022 [contents] - [i11]Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge:
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. CoRR abs/2203.08189 (2022) - [i10]Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson:
TopTemp: Parsing Precipitate Structure from Temper Topology. CoRR abs/2204.00629 (2022) - [i9]Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge:
On the Symmetries of Deep Learning Models and their Internal Representations. CoRR abs/2205.14258 (2022) - [i8]Henry Kvinge, Tegan H. Emerson, Grayson Jorgenson, Scott Vasquez, Timothy Doster, Jesse D. Lew:
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? CoRR abs/2210.03773 (2022) - [i7]Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge:
Do Neural Networks Trained with Topological Features Learn Different Internal Representations? CoRR abs/2211.07697 (2022) - [i6]Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson:
Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them. CoRR abs/2211.10558 (2022) - 2021
- [c8]Sarah Tymochko, Julien Chaput, Timothy Doster, Emilie Purvine, Jackson Warley, Tegan Emerson:
Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis. ICMLA 2021: 403-408 - [i5]Tegan Emerson, Sarah Tymochko, George Stantchev, Jason A. Edelberg, Michael Wilson, Colin C. Olson:
A Topological Approach for Motion Track Discrimination. CoRR abs/2102.05705 (2021) - [i4]Henry Kvinge, Colby Wight, Sarah Akers, Scott Howland, Woongjo Choi, Xiaolong Ma, Luke J. Gosink, Elizabeth Jurrus, Keerti Kappagantula, Tegan H. Emerson:
A Topological-Framework to Improve Analysis of Machine Learning Model Performance. CoRR abs/2107.04714 (2021) - [i3]Loc Truong, WoongJo Choi, Colby Wight, Lizzy Coda, Tegan Emerson, Keerti Kappagantula, Henry Kvinge:
Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing. CoRR abs/2112.01687 (2021) - 2020
- [j5]Tegan H. Emerson, Jonathan M. Nichols:
Fitting local, low-dimensional parameterizations of optical turbulence modeled from optimal transport velocity vectors. Pattern Recognit. Lett. 133: 123-128 (2020) - [j4]Tegan H. Emerson, Colin C. Olson, Timothy Doster:
Path-Based Dictionary Augmentation: A Framework for Improving k-Sparse Image Processing. IEEE Trans. Image Process. 29: 1259-1270 (2020) - [c7]Lucius Bynum, Timothy Doster, Tegan H. Emerson, Henry Kvinge:
Rotational Equivariance for Object Classification Using xView. IGARSS 2020: 3684-3687 - [i2]Sarah Tymochko, Zachary New, Lucius Bynum, Emilie Purvine, Timothy Doster, Julien Chaput, Tegan Emerson:
Argumentative Topology: Finding Loop(holes) in Logic. CoRR abs/2011.08952 (2020)
2010 – 2019
- 2019
- [j3]Robert T. Arn, Pradyumna Narayana, Tegan Emerson, Bruce A. Draper, Michael Kirby, Chris Peterson:
Motion Segmentation via Generalized Curvatures. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2919-2932 (2019) - [c6]Tegan H. Emerson, Colin C. Olson, Anthony Lutz:
Image Recovery in the Infrared Domain via Path-Augmented Compressive Sampling Matching Pursuit. CVPR Workshops 2019: 871-880 - [c5]Tegan H. Emerson, Jason A. Edelberg, Timothy Doster, Nicholas Merrill, Colin C. Olson:
Generative And Encoded Anomaly Detectors. WHISPERS 2019: 1-5 - 2018
- [c4]Timothy Doster, Tegan Emerson, Colin C. Olson:
Path Orthogonal Matching Pursuit for Sparse Reconstruction and Denoising of SWIR Maritime Imagery. CVPR Workshops 2018: 1161-1168 - [c3]Tegan H. Emerson, Timothy Doster, Colin C. Olson:
Path Orthogonal Matching Pursuit for k-Sparse Image Reconstruction. EUSIPCO 2018: 1955-1959 - [c2]Tegan H. Emerson, Timothy Doster, Colin C. Olson:
Path-Based Background Model Augmentation for Hyperspectral Anomaly Detection. WHISPERS 2018: 1-5 - 2017
- [j2]Henry Adams, Tegan Emerson, Michael Kirby, Rachel Neville, Chris Peterson, Patrick D. Shipman, Sofya Chepushtanova, Eric M. Hanson, Francis C. Motta, Lori Ziegelmeier:
Persistence Images: A Stable Vector Representation of Persistent Homology. J. Mach. Learn. Res. 18: 8:1-8:35 (2017) - 2016
- [c1]Tegan Emerson, Michael Kirby, Chris Peterson, Louis Scharf:
Reduced dimension estimators in matched subspace detection. WHISPERS 2016: 1-5 - 2015
- [j1]Tegan Emerson, Michael Kirby, Kelly Bethel, Anand Kolatkar, Madelyn Luttgen, Stephen O'Hara, Paul K. Newton, Peter Kuhn:
Fourier-ring descriptor to characterize rare circulating cells from images generated using immunofluorescence microscopy. Comput. Medical Imaging Graph. 40: 70-87 (2015) - [i1]Sofya Chepushtanova, Tegan Emerson, Eric M. Hanson, Michael Kirby, Francis C. Motta, Rachel Neville, Chris Peterson, Patrick D. Shipman, Lori Ziegelmeier:
Persistence Images: An Alternative Persistent Homology Representation. CoRR abs/1507.06217 (2015)
Coauthor Index
aka: Tim Doster
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-16 21:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
