Benjamin Hoover

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Diffusion Model

Generative Model

Top Venues

Publications

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Polo Chau
Interactive Visual Learning for Stable Diffusion. CoRR (2024)
Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. CoRR (2023)
Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
Energy Transformer. NeurIPS (2023)
Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. CoRR (2023)
Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
Energy Transformer. CoRR (2023)
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM (2023)
Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. CHI (2023)
Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. ACL (1) (2023)
Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR (2023)
Angie Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior. CHI (2022)
Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. CoRR (2022)
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR (2022)
Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. CoRR (2022)
Zahra Ashktorab, Casey Dugan, James Johnson, Aabhas Sharma, Dustin Ramsey Torres, Ingrid Lange, Benjamin Hoover, Heiko Ludwig, Bryant Chen, Nathalie Baracaldo, Werner Geyer, Qian Pan
The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game. IUI (2021)
Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov
Can a Fruit Fly Learn Word Embeddings? CoRR (2021)
Eden Bensaid, Mauro Martino, Benjamin Hoover, Jacob Andreas, Hendrik Strobelt
FairyTailor: A Multimodal Generative Framework for Storytelling. CoRR (2021)
Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann
LMdiff: A Visual Diff Tool to Compare Language Models. CoRR (2021)
Hendrik Strobelt, Benjamin Hoover
Interactive Corpora Visualization for 60 Years of AI Research. NeurIPS (Competition and Demos) (2021)
Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann
LMdiff: A Visual Diff Tool to Compare Language Models. EMNLP (Demos) (2021)
Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov
Can a Fruit Fly Learn Word Embeddings? ICLR (2021)
Angie Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt
Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment. CoRR (2021)
Joseph Aylett-Bullock, Carolina Cuesta-Lázaro, Arnau Quera-Bofarull, Anjali Katta, Katherine Hoffmann Pham, Benjamin Hoover, Hendrik Strobelt, Rebeca Moreno Jimenez, Aidan Sedgewick, Egmond Samir Evers, David Kennedy, Sandra Harlass, Allen Gidraf Kahindo Maina, Ahmad Hussien, Miguel A. Luengo-Oroz
Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox's Bazar settlement. PLoS Comput. Biol. 17 (10) (2021)
Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models. ACL (demo) (2020)
Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. CoRR (2020)
Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. NeurIPS (2020)
Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models. CoRR (2019)