10 citations
- Seoul National UniversityKR48 papers
- Princeton UniversityUS45 papers
- Rice UniversityUS45 papers
- Yonsei UniversityKR45 papers
- California Institute of TechnologyUS44 papers
- Fermi National Accelerator LaboratoryUS44 papers
- Massachusetts Institute of TechnologyUS44 papers
- National Taiwan UniversityTW44 papers
- University of MalayaMY44 papers
- University of Naples Federico IIIT44 papers
- University of TriesteIT44 papers
- Cornell UniversityUS43 papers
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
CAdam: Context-Adaptive Moment Estimation for 3D Gaussian Densification in Generative Distillation
SeungJeh Chung, Geonho Park, Misong Kim +1
Adaptive densification is the engine of 3D Gaussian Splatting (3DGS). However, when transposed to the optimization-based Generative Distillation paradigm, this reconstruction-nativ…
cs.LG2026
Predicting Euler Characteristics and Constructing Topological Structure Using Machine Learning Techniques
Gyunghun Yu, Seong Min Park, Han Gyu Yoon +4
This study proposes a novel approach to extract topological properties, specifically the Euler characteristic, from input images using neural networks without relying on large pre-…
cs.LG2026
Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
Anjali K. Kapoor, Anton Alyakin, Jin Vivian Lee +8
Accurate prediction of functional outcomes after acute ischemic stroke can inform clinical decision-making and resource allocation. Prior work on modified Rankin Scale (mRS) predic…