Intent-aligned AI systems deplete human agency: the need for agency foundations research in AI safety

no code implementations • 30 May 2023 • Catalin Mitelut, Ben Smith, Peter Vamplew

The rapid advancement of artificial intelligence (AI) systems suggests that artificial general intelligence (AGI) systems may soon arrive.

Spike Sorting using the Neural Clustering Process

1 code implementation • NeurIPS Workshop Neuro_AI 2019 • Yueqi Wang, Ari Pakman, Catalin Mitelut, JinHyung Lee, Liam Paninski

We present a novel approach to spike sorting for high-density multielectrode probes using the Neural Clustering Process (NCP), a recently introduced neural architecture that performs scalable amortized approximate Bayesian inference for efficient probabilistic clustering.

Bayesian Inference Clustering +1

Neural Clustering Processes

5 code implementations • ICML 2020 • Ari Pakman, Yueqi Wang, Catalin Mitelut, JinHyung Lee, Liam Paninski

Probabilistic clustering models (or equivalently, mixture models) are basic building blocks in countless statistical models and involve latent random variables over discrete spaces.

Bayesian Inference Clustering +1