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cs.DS2026
Attention via Black-Box Vector Search
Stepan Zharkov, Krish Singal, Ashwin Padaki +1
Sparse attention mechanisms estimate attention over tokens using a small subset of keys. Many existing approaches use maximum inner product search (MIPS) to retrieve the heavie…
cs.DS2026
Learning Partition Trees for Nearest Neighbor Search
Sanjeev Khanna, Ashwin Padaki, Erik Waingarten
We study nearest neighbor search from the perspective of data-driven algorithm design: given a dataset of size and sample access to a query distributio…
cs.DS2026
Prune, Don't Rebuild: Efficiently Tuning -Reachable Graphs for Nearest Neighbor Search
Tian Zhang, Ashwin Padaki, Jiaming Liang +2
Vector similarity search is an essential primitive in modern AI and ML applications. Most vector databases adopt graph-based approximate nearest neighbor (ANN) search algorithms, s…