| 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 | 574 | 2018 |
| 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 | 92 | 2021 |
| 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 | 64 | 2020 |
| Counterfactual states for atari agents via generative deep learning ML Olson, L Neal, F Li, WK Wong arXiv preprint arXiv:1909.12969, 2019 | 41 | 2019 |
| 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 | 37 | 2018 |
| LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models GBM Stan, E Aflalo, RY Rohekar, A Bhiwandiwalla, SY Tseng, ML Olson, ... arXiv preprint arXiv:2404.03118, 2024 | 26 | 2024 |
| 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 | 19 | 2023 |
| 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 | 12 | 2024 |
| 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 | 12 | 2021 |
| 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 | 11 | 2022 |
| 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 | 8 | 2024 |
| 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 | 7 | 2023 |
| 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 | 3 | 2024 |
| 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 | 3 | 2021 |
| Adapting pretrained language models for long document classification ML Olson, L Zhang, CN Yu | 2 | 2019 |
| Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations N Ratzlaff, ML Olson, M Hinck, SY Tseng, V Lal, P Howard arXiv preprint arXiv:2410.13976, 2024 | 1 | 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 | 1 | 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 | 1 | 2024 |
| Harder to mend than to break?—counterfactual explainable artificial intelligence for lifestyle medicine and heart disease prediction H Lane, M Valko, S Rath, MD Walker, ML Olson, S Kramer Journal of Medical Artificial Intelligence 8, 2025 | | 2025 |
| Semantic Specialization in MoE Appears with Scale: A Study of DeepSeek R1 Expert Specialization ML Olson, N Ratzlaff, M Hinck, M Luo, S Yu, C Xue, V Lal arXiv preprint arXiv:2502.10928, 2025 | | 2025 |
Weng-Keen WongProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu