2 papers
cs.CV2025
Uncertainty modeling for fine-tuned implicit functions
Anna Susmelj, Mael Macuglia, Nataša Tagasovska +4
Implicit functions such as Neural Radiance Fields (NeRFs), occupancy networks, and signed distance functions (SDFs) have become pivotal in computer vision for reconstructing detail…
cs.LG2024
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
NataÅ¡a Tagasovska, Vladimir GligorijeviÄ, Kyunghyun Cho +1
Across scientific domains, generating new models or optimizing existing ones while meeting specific criteria is crucial. Traditional machine learning frameworks for guided design u…