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06/26/2023
BatchGFN: Generative Flow Networks for Batch Active Learning
We introduce BatchGFN – a novel approach for pool-based active learning ...
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06/24/2023
Minigrid Miniworld: Modular Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
We present the Minigrid and Miniworld libraries which provide a suite of...
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05/24/2023
torchgfn: A PyTorch GFlowNet library
The increasing popularity of generative flow networks (GFlowNets or GFNs...
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01/30/2023
A theory of continuous generative flow networks
Generative flow networks (GFlowNets) are amortized variational inference...
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10/24/2022
GFlowOut: Dropout with Generative Flow Networks
Bayesian Inference offers principled tools to tackle many critical probl...
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10/02/2022
GFlowNets and variational inference
This paper builds bridges between two families of probabilistic algorith...
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11/17/2021
GFlowNet Foundations
Generative Flow Networks (GFlowNets) have been introduced as a method to...
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02/16/2021
DEUP: Direct Epistemic Uncertainty Prediction
Epistemic uncertainty is the part of out-of-sample prediction error due ...
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08/14/2020
Mastering Rate based Curriculum Learning
Recent automatic curriculum learning algorithms, and in particular Teach...
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10/18/2018