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05/25/2023
Parallel Sampling of Diffusion Models
Diffusion models are powerful generative models but suffer from slow sam...
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02/07/2023
Long Horizon Temperature Scaling
Temperature scaling is a popular technique for tuning the sharpness of a...
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05/26/2022
Training and Inference on Any-Order Autoregressive Models the Right Way
Conditional inference on arbitrary subsets of variables is a core proble...
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02/02/2022
Imitation Learning by Estimating Expertise of Demonstrators
Many existing imitation learning datasets are collected from multiple de...
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01/05/2022
Conditional Imitation Learning for Multi-Agent Games
While advances in multi-agent learning have enabled the training of incr...
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12/13/2021
PantheonRL: A MARL Library for Dynamic Training Interactions
We present PantheonRL, a multiagent reinforcement learning software pack...
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12/02/2021
HyperSPNs: Compact and Expressive Probabilistic Circuits
Probabilistic circuits (PCs) are a family of generative models which all...
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10/05/2021
Influencing Towards Stable Multi-Agent Interactions
Learning in multi-agent environments is difficult due to the non-station...
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04/07/2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
Humans can quickly adapt to new partners in collaborative tasks (e.g. pl...
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10/22/2020
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
Inference in discrete graphical models with variational methods is diffi...
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07/03/2020
On Symbolically Encoding the Behavior of Random Forests
Recent work has shown that the input-output behavior of some machine lea...
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04/05/2020
On Tractable Representations of Binary Neural Networks
We consider the compilation of a binary neural network's decision functi...
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06/01/2019
Smoothing Structured Decomposable Circuits
We study the task of smoothing a circuit, i.e., ensuring that all childr...
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05/09/2018