Miles Martinez

2 accepted papers

2026

Dynamic Compression Flows for Neuroscience Data

Ganchao Wei, Daniela de Albuquerque, Miles Martinez, Shiyang Pan, John Pearson

ICML 2026poster

While neuroscience experiments have repeatedly demonstrated the involvement of large populations of neurons in even simple behaviors, these studies have just as often reported that the collective dynamics of neural activity are approximately low-dimensional. As a result, methods for identifying low-…

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2026

Quasi-Monte Carlo Methods Enable Extremely Low-Dimensional Deep Generative Models

Miles Martinez, Alex H Williams

ICLR 2026poster

This paper introduces *quasi-Monte Carlo latent variable models* (QLVMs): a class of deep generative models that are specialized for finding extremely low-dimensional and interpretable embeddings of high-dimensional datasets. Unlike standard approaches, which rely on a learned encoder and variationa…

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