Search Results for author:
Found 9 papers, 0 papers with code
Simulation Intelligence: Towards a New Generation of Scientific Methods
We present the "Nine Motifs of Simulation Intelligence", a roadmap for the development and integration of the essential algorithms necessary for a merger of scientific computing, scientific simulation, and artificial intelligence.
Unifying AI Algorithms with Probabilistic Programming using Implicitly Defined Representations
These representations are defined implicitly using a set of standardized operations that can be performed on them.
Learning Probabilistic Programs Using Backpropagation
Probabilistic modeling enables combining domain knowledge with learning from data, thereby supporting learning from fewer training instances than purely data-driven methods.
Artificial Intelligence Based Malware Analysis
Artificial intelligence methods have often been applied to perform specific functions or tasks in the cyber-defense realm.
Structured Factored Inference: A Framework for Automated Reasoning in Probabilistic Programming Languages
Reasoning on large and complex real-world models is a computationally difficult task, yet one that is required for effective use of many AI applications.
Lazy Factored Inference for Functional Probabilistic Programming
In this paper, we present a new inference framework, lazy factored inference (LFI), that enables factored algorithms to be used for models with infinitely many variables.
Decision-Making with Complex Data Structures using Probabilistic Programming
Existing decision-theoretic reasoning frameworks such as decision networks use simple data structures and processes.
Networks of Influence Diagrams: A Formalism for Representing Agents' Beliefs and Decision-Making Processes
This paper presents Networks of Influence Diagrams (NID), a compact, natural and highly expressive language for reasoning about agents beliefs and decision-making processes.
Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence (2011)
This is the Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, which was held in Barcelona, Spain, July 14 - 17 2011.
