2 citations · 5 across the 4 of their papers we have counts for
6 papers
Envelopes and Waves: Safe Multivehicle Collision Avoidance for Horizontal Non-deterministic Turns
Yanni Kouskoulas, T. J. Machado, Daniel Genin +3
We present an approach to analyzing the safety of asynchronous, independent, non-deterministic, turn-to-bearing horizontal maneuvers for two vehicles. Future turn rates, final bear…
Incorrect by Construction: Fine Tuning Neural Networks for Guaranteed Performance on Finite Sets of Examples
Ivan Papusha, Rosa Wu, Joshua Brulé +3
There is great interest in using formal methods to guarantee the reliability of deep neural networks. However, these techniques may also be used to implant carefully selected input…
Whittemore: An embedded domain specific language for causal programming
Joshua Brulé
This paper introduces Whittemore, a language for causal programming. Causal programming is based on the theory of structural causal models and consists of two primary operations: i…
Causal programming: inference with structural causal models as finding instances of a relation
Joshua Brulé
This paper proposes a causal inference relation and causal programming as general frameworks for causal inference with structural causal models. A tuple, $\langle M, I, Q, F \rangl…
A causation coefficient and taxonomy of correlation/causation relationships
Joshua Brulé
This paper introduces a causation coefficient which is defined in terms of probabilistic causal models. This coefficient is suggested as the natural causal analogue of the Pearson…
Evolving Shepherding Behavior with Genetic Programming Algorithms
Joshua Brulé, Kevin Engel, Nick Fung +1
We apply genetic programming techniques to the `shepherding' problem, in which a group of one type of animal (sheep dogs) attempts to control the movements of a second group of ani…