Thomas A Langlois — accepted AI-conference papers

2023

Analyzing Diffusion as Serial Reproduction

Raja Marjieh, Ilia Sucholutsky, Thomas A Langlois, Nori Jacoby, Thomas L. Griffiths

ICML 2023poster

Diffusion models are a class of generative models that learn to synthesize samples by inverting a diffusion process that gradually maps data into noise. While these models have enjoyed great success recently, a full theoretical understanding of their observed properties is still lacking, in particul…

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2021

Passive attention in artificial neural networks predicts human visual selectivity

Thomas A Langlois, Haicheng Charles Zhao, Erin Grant, Ishita Dasgupta, Thomas L. Griffiths, Nori Jacoby

NeurIPS 2021oral

Developments in machine learning interpretability techniques over the past decade have provided new tools to observe the image regions that are most informative for classification and localization in artificial neural networks (ANNs). Are the same regions similarly informative to human observers? Us…

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