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Matthew L Olson
Matthew L Olson
Oregon State University
Adresse e-mail validée de llnl.gov - Page d'accueil
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Open set learning with counterfactual images
L Neal, M Olson, X Fern, WK Wong, F Li
Proceedings of the European conference on computer vision (ECCV), 613-628, 2018
4382018
Counterfactual state explanations for reinforcement learning agents via generative deep learning
ML Olson, R Khanna, L Neal, F Li, WK Wong
Artificial Intelligence 295, 103455, 2021
642021
Mental models of mere mortals with explanations of reinforcement learning
A Anderson, J Dodge, A Sadarangani, Z Juozapaitis, E Newman, J Irvine, ...
ACM Transactions on Interactive Intelligent Systems (TiiS) 10 (2), 1-37, 2020
482020
Counterfactual states for atari agents via generative deep learning
ML Olson, L Neal, F Li, WK Wong
arXiv preprint arXiv:1909.12969, 2019
362019
Reduce before you localize: Delta-debugging and spectrum-based fault localization
A Christi, ML Olson, MA Alipour, A Groce
2018 IEEE International Symposium on Software Reliability Engineering …, 2018
282018
Contrastive identification of covariate shift in image data
ML Olson, TV Nguyen, G Dixit, N Ratzlaff, WK Wong, M Kahng
2021 IEEE Visualization Conference (VIS), 36-40, 2021
122021
Ganterfactual-rl: Understanding reinforcement learning agents' strategies through visual counterfactual explanations
T Huber, M Demmler, S Mertes, ML Olson, E André
arXiv preprint arXiv:2302.12689, 2023
72023
How do people rank multiple mutant agents?
J Dodge, AA Anderson, M Olson, R Dikkala, M Burnett
27th International Conference on Intelligent User Interfaces, 191-211, 2022
72022
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models
ML Olson, S Liu, R Anirudh, JJ Thiagarajan, PT Bremer, WK Wong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
42023
Unsupervised attribute alignment for characterizing distribution shift
ML Olson, S Liu, R Anirudh, JJ Thiagarajan, WK Wong, PT Bremer
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021
32021
Adapting pretrained language models for long document classification
ML Olson, L Zhang, CN Yu
22019
AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making
S Liu, H Miao, Z Li, M Olson, V Pascucci, PT Bremer
arXiv preprint arXiv:2312.04494, 2023
2023
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data
ML Olson, S Liu, JJ Thiagarajan, B Kustowski, WK Wong, R Anirudh
arXiv preprint arXiv:2312.03642, 2023
2023
Synthetic Singleplex-Image Generation in Multiplex-Brightfield Immunohistochemistry Digital Pathology Using Deep Generative Models
A Lorsakul, J Martin, T Landowski, E Walker, M Flores, J Clements, ...
International Workshop on Simulation and Synthesis in Medical Imaging, 107-117, 2023
2023
Characterizing and Addressing Dataset Shift with Deep Learning
ML Olson
2023
Deep Generative Multimedia Children's Literature
ML Olson
arXiv preprint arXiv:2209.13129, 2022
2022
Generalizing Cross Entropy Loss with a Beta Proper Composite Loss: An Improved Loss Function for Open Set Recognition
ML Olson, N Ratzlaff, WK Wong
2021
Open Set Recognition with Generated Data
L Neal, M Olson, WK Wong, X Fern, F Li
2018
SciML under distribution shifts: Achieving reliable and accurate performance via geometric and probablistic priors
R Anirudh, JJ Thiagarajan, K Thopalli, VS Narayanaswamy, A Shukla, ...
2024 Joint Mathematics Meetings (JMM 2024), 0
Human Adversarial QA: Did the Model Understand the Paragraph?
P Rahurkar, M Olson, P Tadepalli
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