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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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01/28/2021
Automatic design of novel potential 3CL^pro and PL^pro inhibitors
With the goal of designing novel inhibitors for SARS-CoV-1 and SARS-CoV-...
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11/15/2019
Safe Interactive Model-Based Learning
Control applications present hard operational constraints. A violation o...
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10/29/2018
Model-Based Active Exploration
Efficient exploration is an unsolved problem in Reinforcement Learning. ...
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04/19/2018
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
This paper introduces "Non-Autonomous Input-Output Stable Network" (NAIS...
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10/05/2014
Understanding Locally Competitive Networks
Recently proposed neural network activation functions such as rectified ...
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07/11/2014
Deep Networks with Internal Selective Attention through Feedback Connections
Traditional convolutional neural networks (CNN) are stationary and feedf...
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02/14/2014
A Clockwork RNN
Sequence prediction and classification are ubiquitous and challenging pr...
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12/28/2012
A Frequency-Domain Encoding for Neuroevolution
Neuroevolution has yet to scale up to complex reinforcement learning tas...
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06/18/2012
On the Size of the Online Kernel Sparsification Dictionary
We analyze the size of the dictionary constructed from online kernel spa...
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12/31/2011
T-Learning
Traditional Reinforcement Learning (RL) has focused on problems involvin...
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06/10/2011
A Linear Time Natural Evolution Strategy for Non-Separable Functions
We present a novel Natural Evolution Strategy (NES) variant, the Rank-On...
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03/29/2011
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
To maximize its success, an AGI typically needs to explore its initially...
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03/07/2006
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot
We address the problem of autonomously learning controllers for vision-c...
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12/15/2005