Alec Helbling

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Rotational Invariant

Convolutional Neural Network

Diffusion Models

Top Venues

Tiny Papers @ ICLR

Trans. Mach. Learn. Res.

Publications

Kion Fallah, Alec Helbling, Kyle A. Johnsen, Christopher John Rozell
Manifold Contrastive Learning with Variational Lie Group Operators. Trans. Mach. Learn. Res. 2024 (2024)
Alec Helbling, Seongmin Lee, Polo Chau
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing. CoRR (2024)
Matthew Lau, Haoran Wang, Alec Helbling, Matthew Hull, Shengyun Peng, Martin Andreoni, Willian T. Lunardi, Wenke Lee
Non-Robust Features are Not Always Useful in One-Class Classification. CoRR (2024)
Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng Chau, Minsuk Kahng
LLM Attributor: Interactive Visual Attribution for LLM Generation. CoRR (2024)
Justin Blalock, David Munechika, Harsha Karanth, Alec Helbling, Pratham Darrpan Mehta, Seongmin Lee, Duen Horng Chau
Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models. CoRR (2024)
Mansi Phute, Alec Helbling, Matthew Hull, Shengyun Peng, Sebastian Szyller, Cory Cornelius, Duen Horng Chau
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. Tiny Papers @ ICLR (2024)
Alec Helbling, Seongmin Lee, Polo Chau
Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions. CoRR (2024)
Alec Helbling, Christopher J. Rozell, Matthew R. O'Shaughnessy, Kion Fallah
PrefGen: Preference Guided Image Generation with Relative Attributes. CoRR (2023)
Kion Fallah, Alec Helbling, Kyle A. Johnsen, Christopher J. Rozell
Manifold Contrastive Learning with Variational Lie Group Operators. CoRR (2023)
Alec Helbling, Duen Horng Chau
ManimML: Communicating Machine Learning Architectures with Animation. CoRR (2023)
Alec Helbling, Mansi Phute, Matthew Hull, Duen Horng Chau
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. CoRR (2023)
Alec Helbling, Evan Montoya, Duen Horng Chau
ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuning. CoRR (2023)
Alec Helbling, Christopher John Rozell, Matthew R. O'Shaughnessy, Kion Fallah
Oracle Guided Image Synthesis with Relative Queries. CoRR (2022)
Joshua E. Hochuli, Alec Helbling, Tamar Skaist, Matthew Ragoza, David Ryan Koes
Visualizing Convolutional Neural Network Protein-Ligand Scoring. CoRR (2018)