2 papers
cs.LG2026
Stop Probing, Start Coding: Why Linear Probes and Sparse Autoencoders Fail at Compositional Generalisation
Vitória Barin Pacela, Shruti Joshi, Isabela Camacho +2
The linear representation hypothesis states that neural network activations encode high-level concepts as linear mixtures. However, under superposition, this encoding is a projecti…
cs.LG2025
Operationalizing Quantized Disentanglement
Vitoria Barin-Pacela, Kartik Ahuja, Simon Lacoste-Julien +1
Recent theoretical work established the unsupervised identifiability of quantized factors under any diffeomorphism. The theory assumes that quantization thresholds correspond to ax…