2 papers
cs.LG2026
How Far Do Simple Transformations Translate Across Text Embedding Models?
Sid Ali Hamideche, Louis Adrien Dufrene, Quentin Lampin +1
We investigate whether simple transformations can translate representations across heterogeneous text embedding models. Understanding how independently trained models organize sema…
cs.LG2026
Learning Compression Rules for Network Traffic
Quentin Lampin, Éloi Sainte-Beuve, Louis-Adrien Dufrène +2
We study the problem of learning compact rule-based compressors for structured network traffic. Each packet is a record of header fields that are highly redundant within a flow, an…