3 papers
cs.LG2026
Quantum latent distributions in deep generative models
Omar Bacarreza, Thorin Farnsworth, Alexander Makarovskiy +6
Many successful families of generative models leverage a low-dimensional latent distribution that is mapped to a data distribution. Though simple latent distributions are often use…
cs.AI2026
Supervised sparse auto-encoders for interpretable and compositional representations
Ouns El Harzli, Hugo Wallner, Yoonsoo Nam +1
Sparse auto-encoders (SAEs) have re-emerged as a prominent method for mechanistic interpretability, yet they face two significant challenges: the non-smoothness of the penalt…
quant-ph2024
Exact gradients for linear optics with single photons
Giorgio Facelli, David D. Roberts, Hugo Wallner +3
Though parameter shift rules have drastically improved gradient estimation methods for several types of quantum circuits, leading to improved performance in downstream tasks, so fa…