| 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 | 95 | 2018 |
| 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 | 37 | 2023 |
| Manifold Contrastive Learning with Variational Lie Group Operators K Fallah, A Helbling, KA Johnsen, CJ Rozell Transactions on Machine Learning Research, 2024 | 1 | 2024 |
| ManimML: Communicating Machine Learning Architectures with Animation A Helbling, DH Chau IEEE VIS: Visualization & Visual Analytics, 2023 | 1 | 2023 |
| ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing A Helbling, S Lee, P Chau arXiv preprint arXiv:2404.04376, 2024 | | 2024 |
| LLM Attributor: Interactive Visual Attribution for LLM Generation S Lee, ZJ Wang, A Chakravarthy, A Helbling, SY Peng, M Phute, ... arXiv preprint arXiv:2404.01361, 2024 | | 2024 |
| Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions A Helbling, S Lee, P Chau arXiv preprint arXiv:2402.07925, 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 arXiv preprint arXiv:2402.01877, 2024 | | 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 | | 2023 |
| 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 Workshop on Deep Generative Models for Highly Structured Data, 2022 | | 2022 |
Duen Horng ChauAssociate Professor, Georgia Institute of TechnologyVerified email at gatech.edu
