Angie W. Boggust

24 papers A* 3A 3Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language Models. CoRR Walid Bousselham, Angie W. Boggust, Hendrik Strobelt, Hilde Kuehne
2025	A*	`conf`	Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships. CHI Angie W. Boggust, Hyemin Bang, Hendrik Strobelt, Arvind Satyanarayan
2025	J	`jnl`	Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments. IEEE Trans. Vis. Comput. Graph. Angie W. Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman
2025	J	`jnl`	Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language. CoRR Angie W. Boggust, Donghao Ren, Yannick Assogba, Dominik Moritz, Arvind Satyanarayan, Fred Hohman
2024	J	`jnl`	Abstraction Alignment: Comparing Model and Human Conceptual Relationships. CoRR Angie W. Boggust, Hyemin Bang, Hendrik Strobelt, Arvind Satyanarayan
2024	J	`jnl`	Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments. CoRR Angie W. Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman
2024	—	`conf`	Explanation Alignment: Quantifying the Correctness of Model Reasoning at Scale. ECCV Workshops (21) Hyemin Bang, Angie W. Boggust, Arvind Satyanarayan
2024	J	`jnl`	LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity. CoRR Walid Bousselham, Angie W. Boggust, Sofian Chaybouti, Hendrik Strobelt, Hilde Kuehne
2023	—	`conf`	Saliency Cards: A Framework to Characterize and Compare Saliency Methods. FAccT Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan
2023	—	`conf`	VisText: A Benchmark for Semantically Rich Chart Captioning. ACL (1) Benny J. Tang, Angie W. Boggust, Arvind Satyanarayan
2023	J	`jnl`	VisText: A Benchmark for Semantically Rich Chart Captioning. CoRR Benny J. Tang, Angie W. Boggust, Arvind Satyanarayan
2023	J	`jnl`	What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews. CoRR Zoe De Simone, Angie W. Boggust, Arvind Satyanarayan, Ashia Wilson
2022	J	`jnl`	Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods. CoRR Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan
2022	A	`conf`	Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples. IUI Angie W. Boggust, Brandon Carter, Arvind Satyanarayan
2022	A*	`conf`	Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior. CHI Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt
2021	A	`conf`	AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
2021	A	`conf`	Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
2021	J	`jnl`	Cascaded Multilingual Audio-Visual Learning from Videos. CoRR Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
2021	A*	`conf`	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
2021	J	`jnl`	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Schmidt Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
2021	J	`jnl`	Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment. CoRR Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt
2020	J	`jnl`	AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. CoRR Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
2019	J	`jnl`	Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples. CoRR Angie W. Boggust, Brandon Carter, Arvind Satyanarayan
2019	—	`conf`	Grounding Spoken Words in Unlabeled Video. CVPR Workshops Angie W. Boggust, Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Schmidt Feris, Danny Gutfreund, Yang Zhang, Antonio Torralba, Michael Picheny, James R. Glass