Benjamin Hoover
10 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Grand Slam
π
Renaissance Researcher
(5)
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(51)
Top co-authors
Research topics
Deep Learning
(8)
Architectures
(6)
Artificial Intelligence
(5)
Core AI
(5)
Models
(5)
Computer Vision
(3)
Machine Learning
(3)
Natural Language Processing
(2)
Core Methods
(2)
Generation
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Keywords
generative model
(3)
image generation
(2)
interactive visualization
(2)
attention mechanism
(2)
associative memory
(2)
diffusion model
(2)
stable diffusion
(2)
prompt engineering
(1)
word sense disambiguation
(1)
graph anomaly detection
(1)
document classification
(1)
probability distribution
(1)
pattern storage
(1)
image completion
(1)
hopfield network
(1)
model interpretability
(1)
linear projection
(1)
contextual representation
(1)
energy function
(1)
text-to-image generation
(1)
Papers
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
ICML 2025
TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models
AAAI 2025
Dense Associative Memory Through the Lens of Random Features
NeurIPS 2024
Interactive Visual Learning for Stable Diffusion
IJCAI 2024
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
ACL 2023
Energy Transformer
NeurIPS 2023
Can a Fruit Fly Learn Word Embeddings?
ICLR 2021
LMdiff: A Visual Diff Tool to Compare Language Models
EMNLP 2021
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
NeurIPS 2020
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models
ACL 2020