495 citations · 1.1k across the 22 of their papers we have counts for
22 papers
Simulation Intelligence: Towards a New Generation of Scientific Methods
Alexander Lavin, David Krakauer, Hector Zenil +21
The original "Seven Motifs" set forth a roadmap of essential methods for the field of scientific computing, where a motif is an algorithmic method that captures a pattern of comput…
Unifying AI Algorithms with Probabilistic Programming using Implicitly Defined Representations
Avi Pfeffer, Michael Harradon, Joseph Campolongo +1
We introduce Scruff, a new framework for developing AI systems using probabilistic programming. Scruff enables a variety of representations to be included, such as code with stocha…
Learning Probabilistic Programs Using Backpropagation
Avi Pfeffer
Probabilistic modeling enables combining domain knowledge with learning from data, thereby supporting learning from fewer training instances than purely data-driven methods. Howeve…
Artificial Intelligence Based Malware Analysis
Avi Pfeffer, Brian Ruttenberg, Lee Kellogg +12
Artificial intelligence methods have often been applied to perform specific functions or tasks in the cyber-defense realm. However, as adversary methods become more complex and dif…
Structured Factored Inference: A Framework for Automated Reasoning in Probabilistic Programming Languages
Avi Pfeffer, Brian Ruttenberg, William Kretschmer
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. A plethora of inference al…
Probabilistic Programming for Malware Analysis
Brian Ruttenberg, Lee Kellogg, Avi Pfeffer
Constructing lineages of malware is an important cyber-defense task. Performing this task is difficult, however, due to the amount of malware data and obfuscation techniques by the…