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Sebastian Palacio

2 accepted papers

2025

Unlocking Dataset Distillation with Diffusion Models

NeurIPS 2025spotlight

Dataset distillation seeks to condense datasets into smaller but highly representative synthetic samples. While diffusion models now lead all generative benchmarks, current distillation methods avoid them and rely instead on GANs or autoencoders, or, at best, sampling from a fixed diffusion prior.…

Cited by 0SourcecodeScholar
2018

What Do Deep Networks Like to See?

CVPR 2018poster

We propose a novel way to measure and understand convolutional neural networks by quantifying the amount of input signal they let in. To do this, an autoencoder (AE) was fine-tuned on gradients from a pre-trained classifier with fixed parameters. We compared the reconstructed samples from AEs that w…