Open Set Learning with Counterfactual Images. - Lawrence Neal; Matthew L. Olson; Xiaoli Z. Fern; Weng-Keen Wong; Fuxin Li (ECCV (6), 2018)

Reduce Before You Localize: Delta-Debugging and Spectrum-Based Fault Localization. - Arpit Christi; Matthew Lyle Olson; Mohammad Amin Alipour; Alex Groce (ISSRE Workshops, 2018)

Counterfactual States for Atari Agents via Generative Deep Learning. - Matthew L. Olson; Lawrence Neal; Fuxin Li; Weng-Keen Wong (CoRR, 2019)

Mental Models of Mere Mortals with Explanations of Reinforcement Learning. - Andrew Anderson 002; Jonathan Dodge; Amrita Sadarangani; Zoe Juozapaitis; Evan Newman; Jed Irvine; Souti Chattopadhyay; Matthew L. Olson; Alan Fern; Margaret Burnett (ACM Trans. Interact. Intell. Syst., 2020)

Contrastive Identification of Covariate Shift in Image Data. - Matthew L. Olson; Thuy-Vy Nguyen; Gaurav Dixit; Neale Ratzlaff; Weng-Keen Wong; Minsuk Kahng (IEEE VIS (Short Papers), 2021)

Counterfactual state explanations for reinforcement learning agents via generative deep learning. - Matthew L. Olson; Roli Khanna; Lawrence Neal; Fuxin Li; Weng-Keen Wong (Artif. Intell., 2021)

How Do People Rank Multiple Mutant Agents? - Jonathan Dodge; Andrew Anderson 002; Matthew L. Olson; Rupika Dikkala; Margaret Burnett (IUI, 2022)

Deep Generative Multimedia Children's Literature. - Matthew L. Olson (CoRR, 2022)

GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations. - Tobias Huber; Maximilian Demmler; Silvan Mertes; Matthew L. Olson; Elisabeth André (AAMAS, 2023)

Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models. - Matthew L. Olson; Shusen Liu 001; Rushil Anirudh; Jayaraman J. Thiagarajan; Peer-Timo Bremer; Weng-Keen Wong (CVPR, 2023)

Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data. - Matthew L. Olson; Shusen Liu 001; Jayaraman J. Thiagarajan; Bogdan Kustowski; Weng-Keen Wong; Rushil Anirudh (CoRR, 2023)

Why do LLaVA Vision-Language Models Reply to Images in English? - Musashi Hinck; Carolin Holtermann; Matthew L. Olson; Florian Schneider 001; Sungduk Yu; Anahita Bhiwandiwalla; Anne Lauscher; Shao-Yen Tseng; Vasudev Lal (EMNLP (Findings), 2024)

LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models. - Gabriela Ben Melech Stan; Estelle Aflalo; Raanan Yehezkel Rohekar; Anahita Bhiwandiwalla; Shao-Yen Tseng; Matthew Lyle Olson; Yaniv Gurwicz; Chenfei Wu; Nan Duan; Vasudev Lal (XAI4CV, 2024)

AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making. - Shusen Liu 001; Haichao Miao; Zhimin Li; Matthew L. Olson; Valerio Pascucci; Peer-Timo Bremer (Comput. Graph. Forum, 2024)

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model. - Musashi Hinck; Matthew L. Olson; David Cobbley; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution. - Sungduk Yu; Brian L. White; Anahita Bhiwandiwalla; Musashi Hinck; Matthew Lyle Olson; Tung Nguyen; Vasudev Lal (CoRR, 2024)

Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations. - Neale Ratzlaff; Matthew Lyle Olson; Musashi Hinck; Shao-Yen Tseng; Vasudev Lal; Phillip Howard (CoRR, 2024)

Super-Resolution without High-Resolution Labels for Black Hole Simulations. - Thomas Helfer; Thomas D. P. Edwards; Jessica Dafflon; Kaze W. K. Wong; Matthew Lyle Olson (CoRR, 2024)

Debias your Large Multi-Modal Model at Test-Time with Non-Contrastive Visual Attribute Steering. - Neale Ratzlaff; Matthew Lyle Olson; Musashi Hinck; Estelle Aflalo; Shao-Yen Tseng; Vasudev Lal; Phillip Howard (CoRR, 2024)

Steering Large Language Models to Evaluate and Amplify Creativity. - Matthew Lyle Olson; Neale Ratzlaff; Musashi Hinck; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders. - Matthew Lyle Olson; Musashi Hinck; Neale Ratzlaff; Changbai Li; Phillip Howard; Vasudev Lal; Shao-Yen Tseng (CVPR Workshops, 2025)

Semantic Specialization in MoE Appears with Scale: A Study of DeepSeek R1 Expert Specialization. - Matthew Lyle Olson; Neale Ratzlaff; Musashi Hinck; Man Luo; Sungduk Yu; Chendi Xue; Vasudev Lal (CoRR, 2025)

Bayesian Social Deduction with Graph-Informed Language Models. - Shahab Rahimirad; Guven Gergerli; Lucia Romero; Angela Qian; Matthew Lyle Olson; Simon Stepputtis; Joseph Campbell (CoRR, 2025)

Democratizing Diplomacy: A Harness for Evaluating Any Large Language Model on Full-Press Diplomacy. - Alexander Duffy; Samuel J. Paech; Ishana Shastri; Elizabeth Karpinski; Baptiste Alloui-Cros; Tyler Marques; Matthew Lyle Olson (CoRR, 2025)