3 papers
cs.LG2026
On the Geometry of Multimodal Saturation: Riemannian VICReg
Nessim Ben Abbes, Duc Han Le, Sabri Mtibaa +1
In self-supervised learning, a third modality should improve, or at least preserve, performance. Across nine image-text-tabular datasets, we show that it instead harms performance:…
cs.CV2026
TORINO: Token Reduction via Interpretable Concept Overlap in Vision-Language Models
Riccardo Renzulli, Gabriele Spadaro, Shruthi Gowda +2
Vision-Language Models (VLMs) have demonstrated impressive capabilities across different tasks, but their computational cost is dominated by the large number of visual tokens fed t…
cs.AR2025
An FPGA Compiler for On-the-Fly Adaptive CNN Deployment and Reconfiguration
Alaa Mazouz, Duc Han Le, Van-Tam Nguyen
We introduce ForgeMorph, a full-stack compiler for adaptive CNN deployment on FPGAs, combining design-time optimization with runtime reconfigurability. At compile time, the NeuroFo…