2 papers
cs.LG2025
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks
Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka +3
Modern Hopfield networks (MHNs) have recently gained significant attention in the field of artificial intelligence because they can store and retrieve a large set of patterns with…
cs.CV2024
GUMBEL-NERF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields
Yusuke Sekikawa, Chingwei Hsu, Satoshi Ikehata +2
We propose Gumbel-NeRF, a mixture-of-expert (MoE) neural radiance fields (NeRF) model with a hindsight expert selection mechanism for synthesizing novel views of unseen objects. Pr…