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04/12/2023
DiscoGen: Learning to Discover Gene Regulatory Networks
Accurately inferring Gene Regulatory Networks (GRNs) is a critical and c...
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03/17/2022
Symmetry-Based Representations for Artificial and Biological General Intelligence
Biological intelligence is remarkable in its ability to produce complex ...
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01/28/2022
From data to functa: Your data point is a function and you should treat it like one
It is common practice in deep learning to represent a measurement of the...
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07/02/2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Inducing causal relationships from observations is a classic problem in ...
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12/03/2020
Integrable Nonparametric Flows
We introduce a method for reconstructing an infinitesimal normalizing fl...
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12/05/2018
Towards a Definition of Disentangled Representations
How can intelligent agents solve a diverse set of tasks in a data-effici...
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03/28/2018
Unsupervised Predictive Memory in a Goal-Directed Agent
Animals execute goal-directed behaviours despite the limited range and s...
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02/08/2018
Learning and Querying Fast Generative Models for Reinforcement Learning
A key challenge in model-based reinforcement learning (RL) is to synthes...
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10/27/2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Deep autoregressive models have shown state-of-the-art performance in de...
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12/01/2016
Interaction Networks for Learning about Objects, Relations and Physics
Reasoning about objects, relations, and physics is central to human inte...
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11/07/2016
Normalizing Flows on Riemannian Manifolds
We consider the problem of density estimation on Riemannian manifolds. D...
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11/19/2015