most citedEvaluating probabilistic and data-driven inference models for fiber-coupled NV-diamond temperature sensors

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cs.LG2026

Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces

Jeanie Schreiber, Tyrus Berry, Zeeshan Ahmed

Principal Component Analysis or PCA-like properties (orthogonality, variance ranking) are seldom realized in deep autoencoder architectures. In this work, we present ODIN (Orthogon…