2 papers
cs.IR2026
From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval
Lorenzo Moriondo, Ilias Azizi
High-dimensional vector spaces, particularly embedding spaces with dense semantic structure, are often interpreted primarily leveraging solely geometric relationships. In this work…
cs.IR2025
Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search
Ilias Azizi, Karima Echihab, Themis Palpanas +1
Vector data is prevalent across business and scientific applications, and its popularity is growing with the proliferation of learned embeddings. Vector data collections often reac…