Articles with public access mandates - Diane OyenLearn more
Recused: 1
Flyer Plate Continuum Simulations Informed with Machine Learning Crack Evolution
MG Fernandez-Godino, N Panda, D O'Malley, KS Hickmann, DA Oyen, ...
AIAA Scitech 2020 Forum, 1410, 2020
Mandates: US Department of Energy
Responsible authors: MG Fernandez-Godino
Available somewhere: 29
StressNet-Deep learning to predict stress with fracture propagation in brittle materials
Y Wang, D Oyen, W Guo, A Mehta, CB Scott, N Panda, ...
Npj Materials Degradation 5 (1), 6, 2021
Mandates: US National Science Foundation, US Department of Energy
Deep spectral CNN for laser induced breakdown spectroscopy
J Castorena, D Oyen, A Ollila, C Legett, N Lanza
Spectrochimica Acta Part B: Atomic Spectroscopy 178, 106125, 2021
Mandates: US Department of Energy
Learning planar Ising models
JK Johnson, D Oyen, M Chertkov, P Netrapalli
Journal of Machine Learning Research 17 (214), 1-26, 2016
Mandates: US Department of Energy
Diagram image retrieval using sketch-based deep learning and transfer learning
M Bhattarai, D Oyen, J Castorena, L Yang, B Wohlberg
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Mandates: US Department of Energy
Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling
N Panda, D Osthus, G Srinivasan, D O'Malley, V Chau, D Oyen, ...
Journal of Computational Physics 420, 109719, 2020
Mandates: US Department of Energy
Robustness to Label Noise Depends on the Shape of the Noise Distribution
D Oyen, M Kucer, N Hengartner, HS Singh
Advances in Neural Information Processing Systems, 2022
Mandates: US Department of Energy
MAMA User Guide v2. 0.1
BK Gaschen, JJ Bloch, R Porter, CE Ruggiero, DA Oyen, KM Schaffer
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2016
Mandates: US Department of Energy
VisHash: visual similarity preserving image hashing for diagram retrieval
D Oyen, M Kucer, B Wohlberg
Applications of machine learning 2021 11843, 50-66, 2021
Mandates: US Department of Energy
Visual descriptor extraction from patent figure captions: A case study of data efficiency between BiLSTM and transformer
X Wei, J Wu, K Ajayi, D Oyen
Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, 1-5, 2022
Mandates: US Department of Energy
Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems
A Mehta, CB Scott, D Oyen, N Panda, G Srinivasan
AAAI Symposium on Combining Artificial Intelligence and Machine Learning …, 2020
Mandates: US Department of Energy
Learning watershed cuts energy functions
R Porter, D Oyen, BG Zimmer
Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015
Mandates: US Department of Energy
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding
K Ajayi, X Wei, M Gryder, W Shields, J Wu, SM Jones, M Kucer, D Oyen
Scientific Data 10 (1), 772, 2023
Mandates: US Department of Energy
Predicting Expressibility of Parameterized Quantum Circuits using Graph Neural Network
S Aktar, A Bärtschi, AHA Badawy, D Oyen, S Eidenbenz
2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023
Mandates: US Department of Energy
Multivariate and ensemble manganese calibration models for SuperCam
PJ Gasda, R Anderson, M Dubey, D Oyen, A Cousin, O Forni, S Clegg, ...
Lunar and Planetary Science Conference 53, 1646, 2022
Mandates: US National Aeronautics and Space Administration, Carlsberg Foundation DK
Recognizing figure labels in patents
M Gong, X Wei, D Oyen, J Wu, M Gryder
CEUR Workshop Proceedings: Proceedings of the Workshop on Scientific …, 2021
Mandates: US Department of Energy
Graph metric learning quantifies morphological differences between two genotypes of shoot apical meristem cells in Arabidopsis
CB Scott, E Mjolsness, D Oyen, C Kodera, M Uyttewaal, D Bouchez
in silico Plants 5 (1), diad001, 2023
Mandates: US Department of Energy, US National Institutes of Health, Agence Nationale …
Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks
D Banesh, N Panda, A Biswas, L Van Roekel, D Oyen, N Urban, ...
2021 IEEE International Conference on Big Data (Big Data), 3731-3739, 2021
Mandates: US Department of Energy
Learning Shapes on Image Sampled Points with Dynamic Graph CNNs
J Castorena, D Oyen
2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), 1-4, 2020
Mandates: US Department of Energy
Learning Spatial Relationships between Samples of Patent Image Shapes
J Castorena, M Bhattarai, D Oyen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Mandates: US Department of Energy
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