Visualizing Convolutional Neural Network Protein-Ligand Scoring. - Joshua E. Hochuli; Alec Helbling; Tamar Skaist; Matthew Ragoza; David Ryan Koes (CoRR, 2018)

Oracle Guided Image Synthesis with Relative Queries. - Alec Helbling; Christopher John Rozell; Matthew R. O'Shaughnessy; Kion Fallah (CoRR, 2022)

PrefGen: Preference Guided Image Generation with Relative Attributes. - Alec Helbling; Christopher J. Rozell; Matthew R. O'Shaughnessy; Kion Fallah (CoRR, 2023)

ManimML: Communicating Machine Learning Architectures with Animation. - Alec Helbling; Duen Horng Chau (CoRR, 2023)

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. - Alec Helbling; Mansi Phute; Matthew Hull; Duen Horng Chau (CoRR, 2023)

ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuning. - Alec Helbling; Evan Montoya; Duen Horng Chau (CoRR, 2023)

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. - Mansi Phute; Alec Helbling; Matthew Hull; Shengyun Peng; Sebastian Szyller; Cory Cornelius; Duen Horng Chau (Tiny Papers @ ICLR, 2024)

Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models. - Justin Blalock; David Munechika; Harsha Karanth; Alec Helbling; Pratham Darrpan Mehta; Seongmin Lee 007; Duen Horng Chau (CoRR, 2024)

Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions. - Alec Helbling; Seongmin Lee 007; Polo Chau (CoRR, 2024)

ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing. - Alec Helbling; Seongmin Lee 007; Polo Chau (CoRR, 2024)

Non-Robust Features are Not Always Useful in One-Class Classification. - Matthew Lau; Haoran Wang; Alec Helbling; Matthew Hull; Shengyun Peng; Martin Andreoni; Willian T. Lunardi; Wenke Lee (CoRR, 2024)

Manifold Contrastive Learning with Variational Lie Group Operators. - Kion Fallah; Alec Helbling; Kyle A. Johnsen; Christopher John Rozell (Trans. Mach. Learn. Res., 2024)

LLM Attributor: Interactive Visual Attribution for LLM Generation. - Seongmin Lee 007; Zijie J. Wang; Aishwarya Chakravarthy; Alec Helbling; Shengyun Peng; Mansi Phute; Duen Horng (Polo) Chau; Minsuk Kahng (AAAI, 2025)

TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models. - Aeree Cho; Grace C. Kim; Alexander Karpekov; Alec Helbling; Zijie J. Wang; Seongmin Lee 007; Benjamin Hoover; Duen Horng (Polo) Chau (AAAI, 2025)

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features. - Alec Helbling; Tuna Han Salih Meral; Benjamin Hoover; Pinar Yanardag; Duen Horng Chau (CoRR, 2025)

Diffusion Explorer: Interactive Exploration of Diffusion Models. - Alec Helbling; Duen Horng Chau (CoRR, 2025)