Diane Oyen

Orcid: 0000-0002-1353-3688

According to our database1, Diane Oyen authored at least 41 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding.
CoRR, 2023

Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation.
CoRR, 2023

Predicting Expressibility of Parameterized Quantum Circuits Using Graph Neural Network.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Discovering Image Usage Online: A Case Study with "Flatten the Curve".
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023

2022
Generative structured normalizing flow Gaussian processes applied to spectroscopic data.
CoRR, 2022

Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space.
CoRR, 2022

DeepPatent: Large scale patent drawing recognition and retrieval.
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.
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.
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.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Spectroscopynet: Learning to Pre-Process Spectroscopy Signals Without Clean Data.
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.
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.
CoRR, 2021

Learning to Pre-process Laser Induced Breakdown Spectroscopy Signals Without Clean Data.
CoRR, 2021

Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra.
CoRR, 2021

Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis.
CoRR, 2021

Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Recognizing Figure Labels in Patents.
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.
J. Comput. Phys., 2020

Deep Spectral CNN for Laser Induced Breakdown Spectroscopy.
CoRR, 2020

StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials.
CoRR, 2020

TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images.
CoRR, 2020

Learning Shapes on Image Sampled Points with Dynamic Graph CNNs.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

Learning Spatial Relationships between Samples of Patent Image Shapes.
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.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems.
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.
CoRR, 2019

Learning Diverse Gaussian Graphical Models and Interpreting Edges.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

A Topological Graph-Based Representation for Denoising Low Quality Binary Images.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Quantum Algorithm Implementations for Beginners.
CoRR, 2018

2017
Order priors for Bayesian network discovery with an application to malware phylogeny.
Stat. Anal. Data Min., 2017

2016
Learning Planar Ising Models.
J. Mach. Learn. Res., 2016

Bayesian Networks with Prior Knowledge for Malware Phylogenetics.
Proceedings of the Artificial Intelligence for Cyber Security, 2016

2015
Transfer learning for Bayesian discovery of multiple Bayesian networks.
Knowl. Inf. Syst., 2015

Learning Watershed Cuts Energy Functions.
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.
Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2013
Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis.
CoRR, 2013

Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Active Learning of Transfer Relationships for Multiple Related Bayesian Network Structures.
Proceedings of the Data Mining Workshops (ICDMW), 2011


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