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Raphaël Lopez Kaufman

2 accepted papers

2020

Stabilizing Transformers for Reinforcement Learning

ICML 2020poster

Owing to their ability to both effectively integrate information over long time horizons and scale to massive amounts of data, self-attention architectures have recently shown breakthrough success in natural language processing (NLP). Harnessing the transformer’s ability to process long time horizon…

2019

Multi-Object Representation Learning with Iterative Variational Inference

ICML 2019oral

Human perception is structured around objects which form the basis for our higher-level cognition and impressive systematic generalization abilities. Yet most work on representation learning focuses on feature learning without even considering multiple objects, or treats segmentation as an (often su…