6 citations · 6 across the 7 of their papers we have counts for
4 papers · 1 filter
A Tilted Bowl Is Not a Slippery Slope: Compressing Looped Models
Steven Kolawole, Pearse Jim, Opegbemi M. Busoye +2
Looped models reason by applying the same block of weights many times, so compressing that block saves memory traffic on every loop. Compressed looped models, however, often collap…
EpiKV: Epiphany-Aware KV Cache Eviction Without the Attention Matrix
Steven Kolawole, Virginia Smith
Reasoning models can generate chains of thought tens of thousands of tokens long, making the key--value (KV) cache that holds them a major bottleneck for inference throughput. Exis…
What Survives When You Compress a Recursive Reasoner for the Edge?
Pearse Jim, Steven Kolawole, Opegbemi Matthias Busoye +2
Recursive reasoning models solve hard structured tasks with a few million parameters by iterating a latent state, but deploying them on edge hardware means compressing them -- and…
PrivacyBench: Privacy Isn't Free in Hybrid Privacy-Preserving Vision Systems
Nnaemeka Obiefuna, Samuel Oyeneye, Similoluwa Odunaiya +2
Privacy preserving machine learning deployments in sensitive deep learning applications; from medical imaging to autonomous systems; increasingly require combining multiple techniq…