Arnas Uselis
- Papers
- 9
Cite
Notes
Only stored in your browser.
9papers
Authored papers
9Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models
arXiv 2026
MEME: Multi-entity & Evolving Memory Evaluation
arXiv 2026
Sparse Autoencoders enable Robust and Interpretable Fine-tuning of CLIP models
arXiv 2026
When Do Diffusion Models learn to Generate Multiple Objects?
arXiv 2026
Half-Truths Break Similarity-Based Retrieval
arXiv 2026
Diffusion Classifiers Understand Compositionality, but Conditions Apply
arXiv 2025
On the rankability of visual embeddings
arXiv 2025
CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally
arXiv 2025
Does Data Scaling Lead to Visual Compositional Generalization?
arXiv 2025
Affiliations
No known affiliations.
Frequent co-authors
10from 9 papers