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ORCIDAngie W. Boggust
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2020 – today
- 2026
[i14]Walid Bousselham, Angie W. Boggust, Hendrik Strobelt, Hilde Kuehne:
DEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language Models. CoRR abs/2603.06302 (2026)- [i13]Zoe De Simone, Angie W. Boggust, Fredo Durand, Ashia Wilson, Arvind Satyanarayan:
Creo: From One-Shot Image Generation to Progressive, Co-Creative Ideation. CoRR abs/2604.13956 (2026) - 2025
- [j1]Angie W. Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz
, Fred Hohman:
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments. IEEE Trans. Vis. Comput. Graph. 31(1): 809-819 (2025) - [c11]Angie W. Boggust, Hyemin Bang, Hendrik Strobelt, Arvind Satyanarayan:
Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships. CHI 2025: 417:1-417:20 - [c10]Walid Bousselham, Angie W. Boggust, Sofian Chaybouti, Hendrik Strobelt, Hilde Kuehne:
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity. ICCV 2025: 1-10 - [i12]Angie W. Boggust, Donghao Ren, Yannick Assogba, Dominik Moritz, Arvind Satyanarayan, Fred Hohman:
Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language. CoRR abs/2510.06378 (2025) - 2024
- [c9]Hyemin Bang, Angie W. Boggust, Arvind Satyanarayan:
Explanation Alignment: Quantifying the Correctness of Model Reasoning at Scale. ECCV Workshops (21) 2024: 288-315 - [i11]Walid Bousselham, Angie W. Boggust, Sofian Chaybouti, Hendrik Strobelt, Hilde Kuehne:
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity. CoRR abs/2404.03214 (2024) - [i10]Angie W. Boggust, Hyemin Bang, Hendrik Strobelt, Arvind Satyanarayan:
Abstraction Alignment: Comparing Model and Human Conceptual Relationships. CoRR abs/2407.12543 (2024) - [i9]Angie W. Boggust, Venkatesh Sivaraman, Yannick Assogba, Donghao Ren, Dominik Moritz, Fred Hohman:
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments. CoRR abs/2408.03274 (2024) - 2023
- [c8]Benny J. Tang, Angie W. Boggust, Arvind Satyanarayan:
VisText: A Benchmark for Semantically Rich Chart Captioning. ACL (1) 2023: 7268-7298 - [c7]Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan:
Saliency Cards: A Framework to Characterize and Compare Saliency Methods. FAccT 2023: 285-296 - [i8]Benny J. Tang, Angie W. Boggust, Arvind Satyanarayan:
VisText: A Benchmark for Semantically Rich Chart Captioning. CoRR abs/2307.05356 (2023) - [i7]Zoe De Simone, Angie W. Boggust, Arvind Satyanarayan, Ashia Wilson:
What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews. CoRR abs/2309.09944 (2023) - 2022
- [c6]Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt:
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior. CHI 2022: 10:1-10:17 - [c5]Angie W. Boggust, Brandon Carter, Arvind Satyanarayan:
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples. IUI 2022: 746-766 - [i6]Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan:
Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods. CoRR abs/2206.02958 (2022) - 2021
- [c4]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:
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV 2021: 7992-8001 - [c3]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:
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech 2021: 1584-1588 - [c2]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass:
Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech 2021: 3006-3010 - [i5]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:
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR abs/2104.12671 (2021) - [i4]Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt:
Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment. CoRR abs/2107.09234 (2021) - [i3]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass:
Cascaded Multilingual Audio-Visual Learning from Videos. CoRR abs/2111.04823 (2021) - 2020
- [i2]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:
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. CoRR abs/2006.09199 (2020)
2010 – 2019
- 2019
- [c1]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:
Grounding Spoken Words in Unlabeled Video. CVPR Workshops 2019: 29-32 - [i1]Angie W. Boggust, Brandon Carter, Arvind Satyanarayan:
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples. CoRR abs/1912.04853 (2019)
Coauthor Index
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