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06/09/2023
Value function estimation using conditional diffusion models for control
A fairly reliable trend in deep reinforcement learning is that the perfo...
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06/15/2021
Predicting Unreliable Predictions by Shattering a Neural Network
Piecewise linear neural networks can be split into subfunctions, each wi...
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06/09/2021
Pretraining Representations for Data-Efficient Reinforcement Learning
Data efficiency is a key challenge for deep reinforcement learning. We a...
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10/20/2020
Cross-Modal Information Maximization for Medical Imaging: CMIM
In hospitals, data are siloed to specific information systems that make ...
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12/20/2019
Locality and compositionality in zero-shot learning
In this work we study locality and compositionality in the context of le...
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11/24/2018
Keep Drawing It: Iterative language-based image generation and editing
Conditional text-to-image generation approaches commonly focus on genera...
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12/12/2017
