Alec Helbling

According to our database, Alec Helbling authored at least 22 papers between 2018 and 2026.

Collaborative distances:

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

2026

Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRI.

Lama Moukheiber, Caleb M. Yeung, Haotian Xue, Alec Helbling, Zelin Zhao, Yongxin Chen

CoRR, April, 2026

LORE: Jointly Learning the Intrinsic Dimensionality and Relative Similarity Structure From Ordinal Data.

Vivek Anand, Alec Helbling, Mark A. Davenport, Gordon J. Berman, Sankaraleengam Alagapan, Christopher John Rozell

CoRR, February, 2026

Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation.

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

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

SafetyPairs: Isolating Safety Critical Image Features with Counterfactual Image Generation.

Alec Helbling, Shruti Palaskar, Kundan Krishna, Polo Chau, Leon A. Gatys, Joseph Yitan Cheng

CoRR, October, 2025

UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks.

Mansi Phute, Matthew Hull, Haoran Wang, Alec Helbling, Shengyun Peng, Willian T. Lunardi, Martin Andreoni, Wenke Lee, Duen Horng Chau

CoRR, October, 2025

Diffusion Explorer: Interactive Exploration of Diffusion Models.

Alec Helbling, Duen Horng Chau

CoRR, July, 2025

RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering.

Matthew Hull, Haoran Wang, Matthew Lau, Alec Helbling, Mansi Phute, Chao Zhang, Zsolt Kira, Willian T. Lunardi, Martin Andreoni, Wenke Lee, Duen Horng Chau

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features.

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

Proceedings of the Forty-second International Conference on Machine Learning, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

LLM Attributor: Interactive Visual Attribution for LLM Generation.

Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng (Polo) Chau, Minsuk Kahng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Manifold Contrastive Learning with Variational Lie Group Operators.

Kion Fallah, Alec Helbling, Kyle A. Johnsen, Christopher John Rozell

Trans. Mach. Learn. Res., 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

ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing.

Alec Helbling, Seongmin Lee, Polo Chau

CoRR, 2024

Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions.

Alec Helbling, Seongmin Lee, Polo Chau

CoRR, 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, Duen Horng Chau

CoRR, 2024

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

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

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.

Alec Helbling, Mansi Phute, Matthew Hull, Duen Horng Chau

CoRR, 2023

ManimML: Communicating Machine Learning Architectures with Animation.

Alec Helbling, Duen Horng Chau

CoRR, 2023

PrefGen: Preference Guided Image Generation with Relative Attributes.

Alec Helbling, Christopher J. Rozell, Matthew R. O'Shaughnessy, Kion Fallah

CoRR, 2023

2022

Oracle Guided Image Synthesis with Relative Queries.

Alec Helbling, Christopher John Rozell, Matthew R. O'Shaughnessy, Kion Fallah

CoRR, 2022

2018

Visualizing Convolutional Neural Network Protein-Ligand Scoring.

Joshua E. Hochuli, Alec Helbling, Tamar Skaist, Matthew Ragoza, David Ryan Koes

CoRR, 2018