26 papers
Plug-and-play endoscopic OCT enabled by a fully fiber-integrated 3D-printed probe
Yihan Wang, Ruilin You, Jiabin Chen +5
Endoscopic optical coherence tomography (OCT) brings depth-resolved imaging into small lumens and confined spaces, but each probe must be assembled from spliced, cleaved, and align…
Feature-Aware (Hyper)graph Generation via Next-Scale Prediction
Dorian Gailhard, Enzo Tartaglione, Lirida Naviner +1
Graph generative models perform well on small-scale structured data but struggle to scale to large, complex structures. Hierarchical approaches improve scalability but often ignore…
HYGENE: A Diffusion-based Hypergraph Generation Method
Dorian Gailhard, Enzo Tartaglione, Lirida Naviner +1
Hypergraphs are powerful mathematical structures that can model complex, high-order relationships in various domains, including social networks, bioinformatics, and recommender sys…
Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models
Ivan Luiz De Moura Matos, Abdel Djalil Sad Saoud, Ekaterina Iakovleva +2
The issue of algorithmic biases in deep learning has led to the development of various debiasing techniques, many of which perform complex training procedures or dataset manipulati…
Nix and Fix: Targeting 1000x Compression of 3D Gaussian Splatting with Diffusion Models
Cem Eteke, Enzo Tartaglione
3D Gaussian Splatting (3DGS) revolutionized novel view rendering. Instead of inferring from dense spatial points, as implicit representations do, 3DGS uses sparse Gaussians. This e…
I-INR: Iterative Implicit Neural Representations
Ali Haider, Muhammad Salman Ali, Maryam Qamar +5
Implicit Neural Representations (INRs) have revolutionized signal processing and computer vision by modeling signals as continuous, differentiable functions parameterized by neural…