Matthew L. Olson

According to our database, Matthew L. Olson authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making.

Shusen Liu, Haichao Miao, Zhimin Li, Matthew L. Olson, Valerio Pascucci, Peer-Timo Bremer

CoRR, 2023

Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data.

Matthew L. Olson, Shusen Liu, Jayaraman J. Thiagarajan, Bogdan Kustowski, Weng-Keen Wong, Rushil Anirudh

CoRR, 2023

Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models.

Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations.

Tobias Huber, Maximilian Demmler, Silvan Mertes, Matthew L. Olson, Elisabeth André

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Deep Generative Multimedia Children's Literature.

Matthew L. Olson

CoRR, 2022

How Do People Rank Multiple Mutant Agents?

Jonathan Dodge, Andrew Anderson, Matthew L. Olson, Rupika Dikkala, Margaret Burnett

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

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

Contrastive Identification of Covariate Shift in Image Data.

Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng

Proceedings of the 2021 IEEE Visualization Conference, 2021

2020

Mental Models of Mere Mortals with Explanations of Reinforcement Learning.

Andrew Anderson, 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

2019

Counterfactual States for Atari Agents via Generative Deep Learning.

Matthew L. Olson, Lawrence Neal, Fuxin Li, Weng-Keen Wong

CoRR, 2019

2018

Reduce Before You Localize: Delta-Debugging and Spectrum-Based Fault Localization.

Arpit Christi, Matthew Lyle Olson, Mohammad Amin Alipour, Alex Groce

Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

Open Set Learning with Counterfactual Images.

Lawrence Neal, Matthew L. Olson, Xiaoli Z. Fern, Weng-Keen Wong, Fuxin Li

Proceedings of the Computer Vision - ECCV 2018, 2018