3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Robust Neural Processes for Noisy Data
Chen Shapira, Dan Rosenbaum
Models that adapt their predictions based on some given contexts, also known as in-context learning, have become ubiquitous in recent years. We propose to study the behavior of suc…
cs.CV2023★ 3 cited
SeaThru-NeRF: Neural Radiance Fields in Scattering Media
Deborah Levy, Amit Peleg, Naama Pearl +4
Research on neural radiance fields (NeRFs) for novel view generation is exploding with new models and extensions. However, a question that remains unanswered is what happens in und…
cs.LG2023★ 1 cited
Spatial Functa: Scaling Functa to ImageNet Classification and Generation
Matthias Bauer, Emilien Dupont, Andy Brock +3
Neural fields, also known as implicit neural representations, have emerged as a powerful means to represent complex signals of various modalities. Based on this Dupont et al. (2022…