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2020 – today
- 2024
[j3]Shusen Liu, Haichao Miao
, Zhimin Li, Matthew L. Olson, Valerio Pascucci, Peer-Timo Bremer:
AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making. Comput. Graph. Forum 43(3) (2024)- [c7]Musashi Hinck, Carolin Holtermann, Matthew L. Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal:
Why do LLaVA Vision-Language Models Reply to Images in English? EMNLP (Findings) 2024: 13402-13421 - [i12]Musashi Hinck, Matthew L. Olson, David Cobbley, Shao-Yen Tseng, Vasudev Lal:
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model. CoRR abs/2404.01331 (2024) - [i11]Gabriela Ben Melech Stan, Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Matthew Lyle Olson, Anahita Bhiwandiwalla, Estelle Aflalo, Chenfei Wu, Nan Duan, Shao-Yen Tseng, Vasudev Lal:
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models. CoRR abs/2404.03118 (2024) - [i10]Musashi Hinck, Carolin Holtermann, Matthew Lyle Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal:
Why do LLaVA Vision-Language Models Reply to Images in English? CoRR abs/2407.02333 (2024) - [i9]Sungduk Yu, Brian L. White, Anahita Bhiwandiwalla, Musashi Hinck, Matthew Lyle Olson, Tung Nguyen, Vasudev Lal:
ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution. CoRR abs/2408.15993 (2024) - 2023
- [c6]Tobias Huber, Maximilian Demmler, Silvan Mertes, Matthew L. Olson, Elisabeth André:
GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations. AAMAS 2023: 1097-1106 - [c5]Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong:
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models. CVPR 2023: 7981-7990 - [i8]Tobias Huber, Maximilian Demmler, Silvan Mertes, Matthew L. Olson, Elisabeth André:
GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations. CoRR abs/2302.12689 (2023) - [i7]Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong:
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models. CoRR abs/2303.10774 (2023) - [i6]Matthew L. Olson, Shusen Liu, Jayaraman J. Thiagarajan, Bogdan Kustowski, Weng-Keen Wong, Rushil Anirudh:
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data. CoRR abs/2312.03642 (2023) - [i5]Shusen Liu, Haichao Miao, Zhimin Li, Matthew L. Olson, Valerio Pascucci, Peer-Timo Bremer:
AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making. CoRR abs/2312.04494 (2023) - 2022
- [c4]Jonathan Dodge, Andrew Anderson, Matthew L. Olson, Rupika Dikkala, Margaret Burnett:
How Do People Rank Multiple Mutant Agents? IUI 2022: 191-211 - [i4]Matthew L. Olson:
Deep Generative Multimedia Children's Literature. CoRR abs/2209.13129 (2022) - 2021
- [j2]Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong:
Counterfactual state explanations for reinforcement learning agents via generative deep learning. Artif. Intell. 295: 103455 (2021) - [c3]Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng:
Contrastive Identification of Covariate Shift in Image Data. IEEE VIS (Short Papers) 2021: 36-40 - [i3]Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong:
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning. CoRR abs/2101.12446 (2021) - [i2]Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng:
Contrastive Identification of Covariate Shift in Image Data. CoRR abs/2108.08000 (2021) - 2020
- [j1]Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Matthew L. Olson, Alan Fern, Margaret Burnett:
Mental Models of Mere Mortals with Explanations of Reinforcement Learning. ACM Trans. Interact. Intell. Syst. 10(2): 15:1-15:37 (2020)
2010 – 2019
- 2019
- [i1]Matthew L. Olson, Lawrence Neal, Fuxin Li, Weng-Keen Wong:
Counterfactual States for Atari Agents via Generative Deep Learning. CoRR abs/1909.12969 (2019) - 2018
- [c2]Lawrence Neal, Matthew L. Olson, Xiaoli Z. Fern, Weng-Keen Wong, Fuxin Li:
Open Set Learning with Counterfactual Images. ECCV (6) 2018: 620-635 - [c1]Arpit Christi, Matthew Lyle Olson, Mohammad Amin Alipour, Alex Groce:
Reduce Before You Localize: Delta-Debugging and Spectrum-Based Fault Localization. ISSRE Workshops 2018: 184-191
Coauthor Index
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