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Matthew L Olson
Matthew L Olson
Oregon State University
Verified email at llnl.gov - Homepage
Title
Cited by
Cited by
Year
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
5172018
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
802021
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
552020
Counterfactual states for atari agents via generative deep learning
ML Olson, L Neal, F Li, WK Wong
arXiv preprint arXiv:1909.12969, 2019
372019
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
332018
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
142023
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
How do people rank multiple mutant agents?
J Dodge, AA Anderson, M Olson, R Dikkala, M Burnett
Proceedings of the 27th International Conference on Intelligent User …, 2022
112022
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models
GBM Stan, RY Rohekar, Y Gurwicz, ML Olson, A Bhiwandiwalla, E Aflalo, ...
arXiv preprint arXiv:2404.03118, 2024
62024
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
62023
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
M Hinck, ML Olson, D Cobbley, SY Tseng, V Lal
arXiv preprint arXiv:2404.01331, 2024
52024
AVA: Towards Autonomous Visualization Agents through Visual Perception‐Driven Decision‐Making
S Liu, H Miao, Z Li, M Olson, V Pascucci, PT Bremer
Computer Graphics Forum 43 (3), e15093, 2024
42024
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
ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution
S Yu, BL White, A Bhiwandiwalla, M Hinck, ML Olson, T Nguyen, V Lal
arXiv preprint arXiv:2408.15993, 2024
2024
Why do LLaVA Vision-Language Models Reply to Images in English?
M Hinck, C Holtermann, ML Olson, F Schneider, S Yu, A Bhiwandiwalla, ...
arXiv preprint arXiv:2407.02333, 2024
2024
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
Machine Learning: Science and Technology 5 (2), 025054, 2024
2024
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models
G Ben Melech Stan, E Aflalo, RY Rohekar, A Bhiwandiwalla, SY Tseng, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
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
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Articles 1–20