4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CL2025
Natural Fingerprints of Large Language Models
Teppei Suzuki, Ryokan Ri, Sho Takase
Recent studies have shown that the outputs from large language models (LLMs) can often reveal the identity of their source model. While this is a natural consequence of LLMs modeli…
cs.CV2024★ 4 cited
Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning
Teppei Suzuki
In this work, we present Fed3DGS, a scalable 3D reconstruction framework based on 3D Gaussian splatting (3DGS) with federated learning. Existing city-scale reconstruction methods t…
cs.CV2023
Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields
Teppei Suzuki
We envision a system to continuously build and maintain a map based on earth-scale neural radiance fields (NeRF) using data collected from vehicles and drones in a lifelong learnin…