| LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked A Helbling, M Phute, M Hull, DH Chau arXiv preprint arXiv:2308.07308, 2023 | 140* | 2023 |
| Visualizing Convolutional Neural Network Protein-ligand Scoring J Hochuli, A Helbling, T Skaist, M Ragoza, DR Koes Journal of Molecular Graphics and Modelling 84, 96-108, 2018 | 103 | 2018 |
| Transformer Explainer: Interactive Learning of Text-Generative Models A Cho, GC Kim, A Karpekov, A Helbling, ZJ Wang, S Lee, B Hoover, ... IEEE VIS 2024: Visualization & Visual Analytics, 2024 | 4 | 2024 |
| ManimML: Communicating Machine Learning Architectures with Animation A Helbling, DH Chau IEEE VIS 2023: Visualization & Visual Analytics, 2023 | 3 | 2023 |
| Manifold Contrastive Learning with Variational Lie Group Operators K Fallah, A Helbling, KA Johnsen, CJ Rozell Transactions on Machine Learning Research, 2024 | 2 | 2024 |
| ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuning A Helbling, E Montoya, DH Chau NeurIPS 2023, Workshop on Machine Learning for Creativity and Design, 2023 | 2 | 2023 |
| LLM Attributor: Interactive Visual Attribution for LLM Generation S Lee, ZJ Wang, A Chakravarthy, A Helbling, SY Peng, M Phute, ... IEEE VIS 2024: Visualization & Visual Analytics, 2024 | 1 | 2024 |
| ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features A Helbling, THS Meral, B Hoover, P Yanardag, DH Chau arXiv preprint arXiv:2502.04320, 2025 | | 2025 |
| User Preference Guided Content Generation from Paired Comparisons AF Helbling, K Fallah, M O'shaughnessy, CJ Rozell US Patent App. 18/623,675, 2024 | | 2024 |
| Non-Robust Features are Not Always Useful in One-Class Classification M Lau, H Wang, A Helbling, M Hul, SY Peng, M Andreoni, WT Lunardi, ... CVPR 2024, Workshop on Visual Anomaly and Novelty Detection, 2024 | | 2024 |
| ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing A Helbling, S Lee, P Chau CVPR 2024, Workshop on AI for Content Creation, 2024 | | 2024 |
| Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models J Blalock, D Munechika, H Karanth, A Helbling, P Mehta, S Lee, DH Chau CVPR 2024, Workshop on Virtual Try-on (Invited Talk), 2024 | | 2024 |
| PrefGen: Preference Guided Image Generation with Relative Attributes A Helbling, CJ Rozell, M O'Shaughnessy, K Fallah arXiv preprint arXiv:2304.00185, 2023 | | 2023 |
| Oracle Guided Image Synthesis with Relative Queries A Helbling, CJ Rozell, M O'Shaughnessy, K Fallah ICLR 2022, Workshop on Deep Generative Models for Highly Structured Data, 2022 | | 2022 |
Duen Horng ChauProfessor, Georgia Institute of Technologygatech.edu의 이메일 확인됨