1 citations · 1 across the 4 of their papers we have counts for
4 papers
A hitchhiker's guide to Poisson gradient estimation
Michael Ibrahim, Hanqi Zhao, Eli Sennesh +5
Poisson-distributed latent variable models are widely used in computational neuroscience, but differentiating through discrete stochastic samples remains challenging. Two approache…
An Affective-Taxis Hypothesis for Alignment and Interpretability
Eli Sennesh, Maxwell Ramstead
AI alignment is a field of research that aims to develop methods to ensure that agents always behave in a manner aligned with (i.e. consistently with) the goals and values of their…
Computing with Categories in Machine Learning
Eli Sennesh, Tom Xu, Yoshihiro Maruyama
Category theory has been successfully applied in various domains of science, shedding light on universal principles unifying diverse phenomena and thereby enabling knowledge transf…
A Probabilistic Generative Model of Free Categories
Eli Sennesh, Tom Xu, Yoshihiro Maruyama
Applied category theory has recently developed libraries for computing with morphisms in interesting categories, while machine learning has developed ways of learning programs in i…