Structured gotos are (Slightly) harmful. - Eli Sennesh; Yossi Gil (SAC, 2016)

Composing Modeling and Inference Operations with Probabilistic Program Combinators. - Eli Sennesh; Adam Scibior; Hao Wu 020; Jan-Willem van de Meent (CoRR, 2018)

Neural Topographic Factor Analysis for fMRI Data. - Eli Sennesh; Zulqarnain Khan; Jennifer G. Dy; Ajay B. Satpute; J. Benjamin Hutchinson; Jan-Willem van de Meent (CoRR, 2019)

Cue-Pin-Select, a Secure Mental Password Manager. - Enka Blanchard; Ted Selker; Levi Gabasova; Eli Sennesh (COMPSAC, 2020)

Amortized Population Gibbs Samplers with Neural Sufficient Statistics. - Hao Wu 020; Heiko Zimmermann; Eli Sennesh; Tuan Anh Le 001; Jan-Willem van de Meent (ICML, 2020)

Neural Topographic Factor Analysis for fMRI Data. - Eli Sennesh; Zulqarnain Khan; Yiyu Wang; J. Benjamin Hutchinson; Ajay B. Satpute; Jennifer G. Dy; Jan-Willem van de Meent (NeurIPS, 2020)

Deep Markov Spatio-Temporal Factorization. - Amirreza Farnoosh; Behnaz Rezaei; Eli Zachary Sennesh; Zulqarnain Khan; Jennifer G. Dy; Ajay B. Satpute; J. Benjamin Hutchinson; Jan-Willem van de Meent; Sarah Ostadabbas (CoRR, 2020)

Learning a Deep Generative Model like a Program: the Free Category Prior. - Eli Sennesh (CoRR, 2020)

Learning proposals for probabilistic programs with inference combinators. - Sam Stites; Heiko Zimmermann; Hao Wu 020; Eli Sennesh; Jan-Willem van de Meent (UAI, 2021)

Deriving Time-Averaged Active Inference from Control Principles. - Eli Sennesh; Jordan Theriault; Jan-Willem van de Meent; Lisa Feldman Barrett; Karen S. Quigley (IWAI, 2022)

A Probabilistic Generative Model of Free Categories. - Eli Sennesh; Tom Xu; Yoshihiro Maruyama (CoRR, 2022)

A Computational Neural Model for Mapping Degenerate Neural Architectures. - Zulqarnain Khan; Yiyu Wang; Eli Sennesh; Jennifer G. Dy; Sarah Ostadabbas; Jan-Willem van de Meent; J. Benjamin Hutchinson; Ajay B. Satpute (Neuroinformatics, 2022)

Computing with Categories in Machine Learning. - Eli Sennesh; Tom Xu; Yoshihiro Maruyama (AGI, 2023)

String Diagrams with Factorized Densities. - Eli Sennesh; Jan-Willem van de Meent (ACT, 2023)

Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm. - Eli Sennesh; Hao Wu; Tommaso Salvatori (NeurIPS, 2024)

An Affective-Taxis Hypothesis for Alignment and Interpretability. - Eli Sennesh; Maxwell Ramstead (AGI (2), 2025)