Diane Oyen

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 42

Top Topics

Gaussian Process

Top Venues

Publications

Shamminuj Aktar, Andreas Bärtschi, Diane Oyen, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation. CoRR (2024)
Shawn M. Jones, Diane Oyen
Discovering Image Usage Online: A Case Study with "Flatten the Curve". JCDL (2023)
Kehinde Ajayi, Xin Wei, Martin Gryder, Winston Shields, Jian Wu, Shawn M. Jones, Michal Kucer, Diane Oyen
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding. CoRR (2023)
Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Diane Oyen, Stephan J. Eidenbenz
Predicting Expressibility of Parameterized Quantum Circuits Using Graph Neural Network. QCE (2023)
Nishant Panda, Natalie Klein, Dominic Yang, Patrick Gasda, Diane Oyen
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation. CoRR (2023)
Shawn M. Jones, Diane Oyen
Discovering Image Usage Online: A Case Study With "Flatten the Curve". CoRR (2023)
Michal Kucer, Diane Oyen, Juan Castorena, Jian Wu
DeepPatent: Large scale patent drawing recognition and retrieval. WACV (2022)
Juan Castorena, Diane Oyen
Spectroscopynet: Learning to Pre-Process Spectroscopy Signals Without Clean Data. IEEECONF (2022)
Xin Wei, Jian Wu, Kehinde Ajayi, Diane Oyen
Visual descriptor extraction from patent figure captions: a case study of data efficiency between BiLSTM and transformer. JCDL (2022)
Diane Oyen, Michal Kucer, Nicolas W. Hengartner, Har Simrat Singh
Robustness to Label Noise Depends on the Shape of the Noise Distribution. NeurIPS (2022)
Shawn M. Jones, Diane Oyen
Abstract Images Have Different Levels of Retrievability Per Reverse Image Search Engine. ECCV Workshops (8) (2022)
Shawn M. Jones, Diane Oyen
Abstract Images Have Different Levels of Retrievability Per Reverse Image Search Engine. CoRR (2022)
Md Reshad Ul Hoque, Xin Wei, Muntabir Hasan Choudhury, Kehinde Ajayi, Martin Gryder, Jian Wu, Diane Oyen
Segmenting Technical Drawing Figures in US Patents. SDU@AAAI (2022)
Natalie Klein, Nishant Panda, Patrick Gasda, Diane Oyen
Generative structured normalizing flow Gaussian processes applied to spectroscopic data. CoRR (2022)
Diane Oyen, Michal Kucer, Nick Hengartner, Har Simrat Singh
Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space. CoRR (2022)
Juan Castorena, Diane Oyen
Learning to Pre-process Laser Induced Breakdown Spectroscopy Signals Without Clean Data. CoRR (2021)
Michal Kucer, Diane Oyen, Garrett T. Kenyon
On visual self-supervision and its effect on model robustness. CoRR (2021)
Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence
Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. IEEE BigData (2021)
Cory Braker Scott, Eric Mjolsness, Diane Oyen, Chie Kodera, David Bouchez, Magalie Uyttewaal
Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis. CoRR (2021)
Katiana Kontolati, Natalie Klein, Nishant Panda, Diane Oyen
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra. CoRR (2021)
Ming Gong, Xin Wei, Diane Oyen, Jian Wu, Martin Gryder, Liping Yang
Recognizing Figure Labels in Patents. SDU@AAAI (2021)
Juan Castorena, Manish Bhattarai, Diane Oyen
Learning Spatial Relationships between Samples of Patent Image Shapes. CoRR (2020)
Nishant Panda, Dave Osthus, Gowri Srinivasan, Daniel O'Malley, Viet T. Chau, Diane Oyen, Humberto Godinez
Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling. J. Comput. Phys. 420 (2020)
Yinan Wang, Diane Oyen, Weihong Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials. CoRR (2020)
Juan Castorena, Diane Oyen, Ann Ollila, Carey Legget, Nina Lanza
Deep Spectral CNN for Laser Induced Breakdown Spectroscopy. CoRR (2020)
Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. CoRR (2020)
Juan Castorena, Manish Bhattarai, Diane Oyen
Learning Spatial Relationships between Samples of Patent Image Shapes. CVPR Workshops (2020)
Ming Gong, Liping Yang, Catherine Potts, Vijayan K. Asari, Diane Oyen, Brendt Wohlberg
TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images. CoRR (2020)
Juan Castorena, Diane Oyen
Learning Shapes on Image Sampled Points with Dynamic Graph CNNs. SSIAI (2020)
Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. CVPR Workshops (2020)
Anishi Mehta, Cory Braker Scott, Diane Oyen, Nishant Panda, Gowri Srinivasan
Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems. AAAI Spring Symposium: MLPS (2020)
Catherine Potts, Liping Yang, Diane Oyen, Brendt Wohlberg
A Topological Graph-Based Representation for Denoising Low Quality Binary Images. ICCV Workshops (2019)
Roozbeh Yousefzadeh, Diane Oyen, Nina Lanza
Learning Diverse Gaussian Graphical Models and Interpreting Edges. SDM (2019)
Carleton Coffrin, James Arnold, Stephan J. Eidenbenz, Derek Aberle, John Ambrosiano, Zachary K. Baker, Sara Brambilla, Michael Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman Linn, Li-Ta Lo, Jonathan MacCarthy, Omar Marcillo, Clay McGinnis, Alexander McQuarters, Eric Michalak, Arvind Mohan, Matt Nelson, Diane Oyen, Nidhi Parikh, Donatella Pasqualini, Aaron S. Pope, Reid B. Porter, Chris Rawlings, Hannah Reinbolt, Reid D. Rivenburgh, Philip Romero, Kevin Schoonover, Alexei N. Skurikhin, Daniel R. Tauritz, Dima Tretiak, Zhehui Wang, James Wernicke, Brad Wolfe, Phillip Wolfram, Jonathan Woodring
The ISTI Rapid Response on Exploring Cloud Computing 2018. CoRR (2019)
Liping Yang, Diane Oyen, Brendt Wohlberg
A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis. CVPR Workshops (2019)
Patrick J. Coles, Stephan J. Eidenbenz, Scott Pakin, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Andrey Y. Lokhov, Alexander Malyzhenkov, David Dennis Lee Mascarenas, Susan M. Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Philip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu
Quantum Algorithm Implementations for Beginners. CoRR (2018)
Diane Oyen, Blake Anderson, Kari Sentz, Christine M. Anderson-Cook
Order priors for Bayesian network discovery with an application to malware phylogeny. Stat. Anal. Data Min. 10 (5) (2017)
Jason K. Johnson, Diane Oyen, Michael Chertkov, Praneeth Netrapalli
Learning Planar Ising Models. J. Mach. Learn. Res. 17 (2016)
Diane Oyen, Blake Anderson, Christine M. Anderson-Cook
Bayesian Networks with Prior Knowledge for Malware Phylogenetics. AAAI Workshop: Artificial Intelligence for Cyber Security (2016)
Diane Oyen, Nina Lanza, Reid B. Porter
Discovering compositional trends in Mars rock targets from ChemCam spectroscopy and remote imaging. AIPR (2015)
Reid B. Porter, Diane Oyen, Beate G. Zimmer
Learning Watershed Cuts Energy Functions. ISMM (2015)
Diane Oyen, Terran Lane
Transfer learning for Bayesian discovery of multiple Bayesian networks. Knowl. Inf. Syst. 43 (1) (2015)
Diane Oyen, Terran Lane
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning. CoRR (2013)
Diane Oyen, Terran Lane
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning. ICDM (2013)
Diane Oyen, Alexandru Niculescu-Mizil, Rachel Ostroff, Alex Stewart, Vincent P. Clark
Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis. CoRR (2013)
Diane Oyen, Terran Lane
Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning. AAAI (2012)
Diane Oyen
Active Learning of Transfer Relationships for Multiple Related Bayesian Network Structures. ICDM Workshops (2011)