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12/06/2021
Simulation Intelligence: Towards a New Generation of Scientific Methods
The original "Seven Motifs" set forth a roadmap of essential methods for...
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10/05/2021
Unifying AI Algorithms with Probabilistic Programming using Implicitly Defined Representations
We introduce Scruff, a new framework for developing AI systems using pro...
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05/15/2017
Learning Probabilistic Programs Using Backpropagation
Probabilistic modeling enables combining domain knowledge with learning ...
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04/27/2017
Artificial Intelligence Based Malware Analysis
Artificial intelligence methods have often been applied to perform speci...
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06/10/2016
Structured Factored Inference: A Framework for Automated Reasoning in Probabilistic Programming Languages
Reasoning on large and complex real-world models is a computationally di...
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09/11/2015
Lazy Factored Inference for Functional Probabilistic Programming
Probabilistic programming provides the means to represent and reason abo...
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07/11/2014
Decision-Making with Complex Data Structures using Probabilistic Programming
Existing decision-theoretic reasoning frameworks such as decision networ...
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01/15/2014
Networks of Influence Diagrams: A Formalism for Representing Agents' Beliefs and Decision-Making Processes
This paper presents Networks of Influence Diagrams (NID), a compact, nat...
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02/06/2013
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference a...
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01/23/2013
SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation
In previous work, we pointed out the limitations of standard Bayesian ne...
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01/10/2013
Sufficiency, Separability and Temporal Probabilistic Models
Suppose we are given the conditional probability of one variable given s...
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12/12/2012
Factored Particles for Scalable Monitoring
Exact monitoring in dynamic Bayesian networks is intractable, so approxi...
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10/19/2012
Loopy Belief Propagation as a Basis for Communication in Sensor Networks
Sensor networks are an exciting new kind of computer system. Consisting ...
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07/04/2012
Asynchronous Dynamic Bayesian Networks
Systems such as sensor networks and teams of autonomous robots consist o...
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06/27/2012
Approximate Separability for Weak Interaction in Dynamic Systems
One approach to monitoring a dynamic system relies on decomposition of t...
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06/13/2012
Learning and Solving Many-Player Games through a Cluster-Based Representation
In addressing the challenge of exponential scaling with the number of ag...
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06/13/2012
Identifying reasoning patterns in games
We present an algorithm that identifies the reasoning patterns of agents...
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05/11/2012
Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence (2011)
This is the Proceedings of the Twenty-Seventh Conference on Uncertainty ...
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05/09/2012
Temporal Action-Graph Games: A New Representation for Dynamic Games
In this paper we introduce temporal action graph games (TAGGs), a novel ...
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03/15/2012
