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12/13/2021
Role of Human-AI Interaction in Selective Prediction
Recent work has shown the potential benefit of selective prediction syst...
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11/17/2021
Acquisition of Chess Knowledge in AlphaZero
What is learned by sophisticated neural network agents such as AlphaZero...
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09/09/2020
Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess
It is non-trivial to design engaging and balanced sets of game rules. Mo...
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07/20/2019
Unsupervised Separation of Dynamics from Pixels
We present an approach to learn the dynamics of multiple objects from im...
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12/18/2018
A Factorial Mixture Prior for Compositional Deep Generative Models
We assume that a high-dimensional datum, like an image, is a composition...
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10/28/2018
An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models
This technical report presents pseudo-code for a Riemannian manifold Ham...
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11/21/2017
Recurrent Relational Networks for Complex Relational Reasoning
Humans possess an ability to abstractly reason about objects and their i...
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10/16/2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
This paper takes a step towards temporal reasoning in a dynamically chan...
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08/15/2016
The Bayesian Low-Rank Determinantal Point Process Mixture Model
Determinantal point processes (DPPs) are an elegant model for encoding p...
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05/24/2016
Sequential Neural Models with Stochastic Layers
How can we efficiently propagate uncertainty in a latent state represent...
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04/07/2016
An Adaptive Resample-Move Algorithm for Estimating Normalizing Constants
The estimation of normalizing constants is a fundamental step in probabi...
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02/17/2016
Low-Rank Factorization of Determinantal Point Processes for Recommendation
Determinantal point processes (DPPs) have garnered attention as an elega...
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09/26/2013
One-class Collaborative Filtering with Random Graphs: Annotated Version
The bane of one-class collaborative filtering is interpreting and modell...
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01/12/2013
