| Ensemble methods for quantification of potassium oxide in ChemCam Mars and laboratory spectra M Dubey, D Oyen, P Gasda Spectrochimica Acta Part B: Atomic Spectroscopy 216, 106945, 2024 | | 2024 |
| Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation S Aktar, A Bärtschi, D Oyen, S Eidenbenz, AHA Badawy arXiv preprint arXiv:2405.08100, 2024 | | 2024 |
| 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 | 1 | 2023 |
| 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 | 2 | 2023 |
| Analysis and Understanding of Drawings using Deep Learning and Graphs DA Oyen, M Kucer Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023 | | 2023 |
| Discovering image usage online: A case study with “flatten the curve” SM Jones, D Oyen 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 293-294, 2023 | 1 | 2023 |
| Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N Panda, N Klein, D Yang, P Gasda, D Oyen arXiv preprint arXiv:2304.08673, 2023 | 1 | 2023 |
| 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 | 1 | 2023 |
| Generative structured normalizing flow Gaussian processes applied to spectroscopic data N Klein, N Panda, P Gasda, D Oyen arXiv preprint arXiv:2212.07554, 2022 | | 2022 |
| Fast GP Estimation for In-situ Inference of Large Scale Climate Modeling with Statistical Machine Learning N Panda, D Banesh, S Dey, A Biswas, L Van Roekel, D Oyen, NM Urban, ... AGU Fall Meeting Abstracts 2022, NH12B-01, 2022 | | 2022 |
| SpectroscopyNet: Learning to pre-process Spectroscopy Signals without clean data J Castorena, D Oyen 2022 56th Asilomar Conference on Signals, Systems, and Computers, 960-964, 2022 | | 2022 |
| Abstract images have different levels of retrievability per reverse image search engine SM Jones, D Oyen European Conference on Computer Vision, 203-222, 2022 | 3 | 2022 |
| Learning Planar Ising Models Software D Oyen Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2022 | | 2022 |
| 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 | 6 | 2022 |
| Grouping chemcam targets by visual characteristics improved by automatic partitioning A Essunfeld, JM Comellas, PJ Gasda, D Oyen, N Lanza, O Gasnault, ... Lunar and Planetary Science Conference 53, 2612, 2022 | | 2022 |
| 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 | 3 | 2022 |
| Random Forests on Mars: Ensemble Methods for Enhanced ChemCam Calibration ML Dubey, DA Oyen, PJ Gasda 53rd Lunar and Planetary Science Conference 2678, 1625, 2022 | | 2022 |
| When does visual self-supervision aid adversarial training in improving adversarial robustness? M Kucer, D Oyen, G Kenyon | | 2022 |
| 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 | 8* | 2022 |
| Segmenting technical drawing figures in US patents MRU Hoque, X Wei, MH Choudhury, K Ajayi, M Gryder, J Wu, D Oyen | 1 | 2022 |
Juan CastorenaLos Alamos National Laboratories在 lanl.gov 的电子邮件经过验证
