Alec Helbling
Cited by
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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
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
Manifold Contrastive Learning with Variational Lie Group Operators
K Fallah, A Helbling, KA Johnsen, CJ Rozell
Transactions on Machine Learning Research, 2024
ManimML: Communicating Machine Learning Architectures with Animation
A Helbling, DH Chau
IEEE VIS: Visualization & Visual Analytics, 2023
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
A Helbling, S Lee, P Chau
CVPR 2024, Workshop on AI4CC, 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
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
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
PrefGen: Preference Guided Image Generation with Relative Attributes
A Helbling, CJ Rozell, M O'Shaughnessy, K Fallah
arXiv preprint arXiv:2304.00185, 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
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