D. Oyen

发表

Learning Planar Ising Models pdf

Michael Chertkov, Jason K. Johnson, Praneeth Netrapalli, 2010, J. Mach. Learn. Res..

Interactive Exploration of Comparative Dependency Network Learning

D. Oyen, 2014 .

Exploiting Task Relatedness for Multitask Learning of Bayesian Network Structures

T. Lane, D. Oyen, 2011 .

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

Gowri Srinivasan, Weihong Guo, Diane Oyen, 2020, ArXiv.

Leveraging Domain Knowledge to Learn Multiple Bayesian Network Structures

D. Oyen, 2011 .

Exploiting Task Relatedness to Learn Multiple Bayesian Network Structures

D. Oyen, 2010 .

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

Shawn M. Jones, D. Oyen, 2022, ECCV Workshops.

MAMA User Guide v2.0.1

Christy E. Ruggiero, Reid B. Porter, Diane Oyen, 2016 .

MULTIVARIATE AND ENSEMBLE MANGANESE CALIBRATION MODELS FOR SUPERCAM

O. Forni, S. Clegg, R. Wiens, 2022 .

Generative structured normalizing flow Gaussian processes applied to spectroscopic data

D. Oyen, P. Gasda, Natalie Klein, 2022, ArXiv.

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

D. Oyen, J. Castorena, 2021, 2022 56th Asilomar Conference on Signals, Systems, and Computers.

Deep Spectral CNN for Laser Induced Breakdown Spectroscopy

D. Oyen, N. Lanza, A. Ollila, 2020, Spectrochimica Acta Part B: Atomic Spectroscopy.

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

Brendt Wohlberg, Ming Gong, Catherine Potts, 2020, ArXiv.

Learning Spatial Relationships between Samples of Image Shapes

Juan Castorena, Manish Bhattarai, Diane Oyen, 2020 .

Learning Shapes on Image Sampled Points with Dynamic Graph CNNs

Diane Oyen, Juan Castorena, D. Oyen, 2020, 2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).

Interactive Exploration of Multitask Dependency Networks

Diane Oyen, D. Oyen, 2013 .

Flyer Plate Continuum Simulations Informed with Machine Learning Crack Evolution

Raphael T. Haftka, Gowri Srinivasan, Diane Oyen, 2020 .

Learning Watershed Cuts Energy Functions

Reid B. Porter, Diane Oyen, G. Beate Zimmer, 2015, ISMM.

Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning

Terran Lane, Diane Oyen, T. Lane, 2012, AAAI.

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

Gowri Srinivasan, Diane Oyen, Dave Osthus, 2020, J. Comput. Phys..

Quantum Algorithm Implementations for Beginners pdf

Scott Pakin, Carleton Coffrin, Gopinath Chennupati, 2018, ACM Transactions on Quantum Computing.

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

Brendt Wohlberg, Liping Yang, Juan Castorena, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation

D. Oyen, P. Gasda, Natalie Klein, 2023, ArXiv.

Learning Diverse Gaussian Graphical Models and Interpreting Edges

Roozbeh Yousefzadeh, Diane Oyen, Nina Lanza, 2019, SDM.

Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems

Gowri Srinivasan, Diane Oyen, Nishant Panda, 2020, AAAI Spring Symposium: MLPS.

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

Reid B. Porter, Diane Oyen, Nina Lanza, 2015, 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Computationally efficient training of deep neural networks via transfer learning

Diane Oyen, D. Oyen, 2019, Defense + Commercial Sensing.

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

Michal Kucer, D. Oyen, N. Hengartner, 2022, NeurIPS.

Bayesian Networks with Prior Knowledge for Malware Phylogenetics

Christine M. Anderson-Cook, Blake Anderson, Diane Oyen, 2016, AAAI Workshop: Artificial Intelligence for Cyber Security.

When does visual self-supervision aid adversarial training in improving adversarial robustness?

Garrett T. Kenyon, Michal Kucer, D. Oyen, 2022 .

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

Rachel Ostroff, Vincent P. Clark, Alex Stewart, 2013, ArXiv.

Transfer learning for Bayesian discovery of multiple Bayesian networks

T. Lane, D. Oyen, 2015, Knowledge and Information Systems.

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

Eric Mjolsness, Magalie Uyttewaal, Diane Oyen, 2021, ArXiv.

Recognizing Figure Labels in Patents

Liping Yang, Diane Oyen, Xin Wei, 2021, SDU@AAAI.

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

Garrett T. Kenyon, Diane Oyen, Garrett Kenyon, 2021, ArXiv.