Benjamin Hoover

According to our database, Benjamin Hoover authored at least 27 papers between 2019 and 2025.

Collaborative distances:

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

2025

Modern Methods in Associative Memory.

Dmitry Krotov, Benjamin Hoover, Parikshit Ram, Bao Pham

CoRR, July, 2025

Dense Associative Memory with Epanechnikov Energy.

Benjamin Hoover, Zhaoyang Shi, Krishnakumar Balasubramanian, Dmitry Krotov, Parikshit Ram

CoRR, June, 2025

Small Models, Smarter Learning: The Power of Joint Task Training.

Csaba Both, Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Daniel Karl I. Weidele, Mauro Martino, Nima Dehmamy

CoRR, May, 2025

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features.

Alec Helbling, Tuna Han Salih Meral, Benjamin Hoover, Pinar Yanardag, Duen Horng Chau

CoRR, February, 2025

TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models.

Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang, Seongmin Lee, Benjamin Hoover, Duen Horng (Polo) Chau

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion.

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng (Polo) Chau

Proceedings of the IEEE Visualization and Visual Analytics, 2024

Dense Associative Memory Through the Lens of Random Features.

Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt, Parikshit Ram, Dmitry Krotov

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Interactive Visual Learning for Stable Diffusion.

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models.

Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush

IEEE Trans. Vis. Comput. Graph., 2023

Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories.

Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau

CoRR, 2023

Energy Transformer.

Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries.

Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness.

Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.

Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training.

Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau

CoRR, 2022

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior.

Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox's Bazar settlement.

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

PLoS Comput. Biol., 2021

FairyTailor: A Multimodal Generative Framework for Storytelling.

Eden Bensaid, Mauro Martino, Benjamin Hoover, Jacob Andreas, Hendrik Strobelt

CoRR, 2021

Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment.

Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt

CoRR, 2021

Interactive Corpora Visualization for 60 Years of AI Research.

Hendrik Strobelt, Benjamin Hoover

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game.

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

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Can a Fruit Fly Learn Word Embeddings?

Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov

Proceedings of the 9th International Conference on Learning Representations, 2021

LMdiff: A Visual Diff Tool to Compare Language Models.

Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

2020

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.

Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic

CoRR, 2020

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.

Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models.

Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models.

Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann

CoRR, 2019