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08/14/2023
Bayesian Flow Networks
This paper introduces Bayesian Flow Networks (BFNs), a new class of gene...
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03/21/2023
Universal Smoothed Score Functions for Generative Modeling
We consider the problem of generative modeling based on smoothing an unk...
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02/24/2023
EvoTorch: Scalable Evolutionary Computation in Python
Evolutionary computation is an important component within various fields...
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05/13/2022
Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets
Upside-Down Reinforcement Learning (UDRL) is an approach for solving RL ...
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02/23/2022
Learning Relative Return Policies With Upside-Down Reinforcement Learning
Lately, there has been a resurgence of interest in using supervised lear...
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12/18/2021
Multimeasurement Generative Models
We formally map the problem of sampling from an unknown distribution wit...
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07/19/2021
Reward-Weighted Regression Converges to a Global Optimum
Reward-Weighted Regression (RWR) belongs to a family of widely known ite...
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08/05/2020
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution
Distribution-based search algorithms are an effective approach for evolu...
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12/05/2019
Training Agents using Upside-Down Reinforcement Learning
Traditional Reinforcement Learning (RL) algorithms either predict reward...
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02/07/2019
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
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10/23/2017
Fully Context-Aware Video Prediction
This paper proposes a new neural network design for unsupervised learnin...
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07/12/2016
Recurrent Highway Networks
Many sequential processing tasks require complex nonlinear transition fu...
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11/19/2015
Binding via Reconstruction Clustering
Disentangled distributed representations of data are desirable for machi...
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07/22/2015
Training Very Deep Networks
Theoretical and empirical evidence indicates that the depth of neural ne...
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05/03/2015
Highway Networks
There is plenty of theoretical and empirical evidence that depth of neur...
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03/13/2015
LSTM: A Search Space Odyssey
Several variants of the Long Short-Term Memory (LSTM) architecture for r...
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10/05/2014
Understanding Locally Competitive Networks
Recently proposed neural network activation functions such as rectified ...
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10/31/2012