Diane Oyen

According to our database, Diane Oyen authored at least 42 papers between 2011 and 2024.

Collaborative distances:

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

2024

Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation.

Shamminuj Aktar, Andreas Bärtschi, Diane Oyen, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy

CoRR, 2024

2023

DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding.

Kehinde Ajayi, Xin Wei, Martin Gryder, Winston Shields, Jian Wu, Shawn M. Jones, Michal Kucer, Diane Oyen

CoRR, 2023

Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation.

Nishant Panda, Natalie Klein, Dominic Yang, Patrick Gasda, Diane Oyen

CoRR, 2023

Predicting Expressibility of Parameterized Quantum Circuits Using Graph Neural Network.

Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Diane Oyen, Stephan J. Eidenbenz

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Discovering Image Usage Online: A Case Study with "Flatten the Curve".

Shawn M. Jones, Diane Oyen

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023

2022

Generative structured normalizing flow Gaussian processes applied to spectroscopic data.

Natalie Klein, Nishant Panda, Patrick Gasda, Diane Oyen

CoRR, 2022

Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space.

Diane Oyen, Michal Kucer, Nick Hengartner, Har Simrat Singh

CoRR, 2022

DeepPatent: Large scale patent drawing recognition and retrieval.

Michal Kucer, Diane Oyen, Juan Castorena, Jian Wu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Robustness to Label Noise Depends on the Shape of the Noise Distribution.

Diane Oyen, Michal Kucer, Nicolas W. Hengartner, Har Simrat Singh

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

Visual descriptor extraction from patent figure captions: a case study of data efficiency between BiLSTM and transformer.

Xin Wei, Jian Wu, Kehinde Ajayi, Diane Oyen

Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

Abstract Images Have Different Levels of Retrievability Per Reverse Image Search Engine.

Shawn M. Jones, Diane Oyen

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Spectroscopynet: Learning to Pre-Process Spectroscopy Signals Without Clean Data.

Juan Castorena, Diane Oyen

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Segmenting Technical Drawing Figures in US Patents.

Md Reshad Ul Hoque, Xin Wei, Muntabir Hasan Choudhury, Kehinde Ajayi, Martin Gryder, Jian Wu, Diane Oyen

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021

On visual self-supervision and its effect on model robustness.

Michal Kucer, Diane Oyen, Garrett T. Kenyon

CoRR, 2021

Learning to Pre-process Laser Induced Breakdown Spectroscopy Signals Without Clean Data.

Juan Castorena, Diane Oyen

CoRR, 2021

Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra.

Katiana Kontolati, Natalie Klein, Nishant Panda, Diane Oyen

CoRR, 2021

Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis.

Cory Braker Scott, Eric Mjolsness, Diane Oyen, Chie Kodera, David Bouchez, Magalie Uyttewaal

CoRR, 2021

Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks.

Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan M. Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Recognizing Figure Labels in Patents.

Ming Gong, Xin Wei, Diane Oyen, Jian Wu, Martin Gryder, Liping Yang

Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2020

Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling.

Nishant Panda, Dave Osthus, Gowri Srinivasan, Daniel O'Malley, Viet T. Chau, Diane Oyen, Humberto Godinez

J. Comput. Phys., 2020

Deep Spectral CNN for Laser Induced Breakdown Spectroscopy.

Juan Castorena, Diane Oyen, Ann Ollila, Carey Legget, Nina Lanza

CoRR, 2020

StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials.

Yinan Wang, Diane Oyen, Weihong Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue

CoRR, 2020

TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images.

Ming Gong, Liping Yang, Catherine Potts, Vijayan K. Asari, Diane Oyen, Brendt Wohlberg

CoRR, 2020

Learning Shapes on Image Sampled Points with Dynamic Graph CNNs.

Juan Castorena, Diane Oyen

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

Learning Spatial Relationships between Samples of Patent Image Shapes.

Juan Castorena, Manish Bhattarai, Diane Oyen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning.

Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems.

Anishi Mehta, Cory Braker Scott, Diane Oyen, Nishant Panda, Gowri Srinivasan

Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2019

The ISTI Rapid Response on Exploring Cloud Computing 2018.

Carleton Coffrin, James Arnold, Stephan J. Eidenbenz, Derek Aberle, John Ambrosiano, Zachary K. Baker, Sara Brambilla, Michael J. Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean N. Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman R. 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

CoRR, 2019

Learning Diverse Gaussian Graphical Models and Interpreting Edges.

Roozbeh Yousefzadeh, Diane Oyen, Nina Lanza

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

A Topological Graph-Based Representation for Denoising Low Quality Binary Images.

Catherine Potts, Liping Yang, Diane Oyen, Brendt Wohlberg

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis.

Liping Yang, Diane Oyen, Brendt Wohlberg

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

2018

Quantum Algorithm Implementations for Beginners.

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

CoRR, 2018

2017

Order priors for Bayesian network discovery with an application to malware phylogeny.

Diane Oyen, Blake Anderson, Kari Sentz, Christine M. Anderson-Cook

Stat. Anal. Data Min., 2017

2016

Learning Planar Ising Models.

Jason K. Johnson, Diane Oyen, Michael Chertkov, Praneeth Netrapalli

J. Mach. Learn. Res., 2016

Bayesian Networks with Prior Knowledge for Malware Phylogenetics.

Diane Oyen, Blake Anderson, Christine M. Anderson-Cook

Proceedings of the Artificial Intelligence for Cyber Security, 2016

2015

Transfer learning for Bayesian discovery of multiple Bayesian networks.

Diane Oyen, Terran Lane

Knowl. Inf. Syst., 2015

Learning Watershed Cuts Energy Functions.

Reid B. Porter, Diane Oyen, Beate G. Zimmer

Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

Discovering compositional trends in Mars rock targets from ChemCam spectroscopy and remote imaging.

Diane Oyen, Nina Lanza, Reid B. Porter

Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2013

Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis.

Diane Oyen, Alexandru Niculescu-Mizil, Rachel Ostroff, Alex Stewart, Vincent P. Clark

CoRR, 2013

Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning.

Diane Oyen, Terran Lane

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning.

Diane Oyen, Terran Lane

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Active Learning of Transfer Relationships for Multiple Related Bayesian Network Structures.

Diane Oyen

Proceedings of the Data Mining Workshops (ICDMW), 2011