Eli Sennesh

22 papers A* 3A 1B 1Misc 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hitchhiker's Guide to Poisson Gradient Estimation.
CoRR
Michael Ibrahim, Hanqi Zhao, Eli Sennesh, Zhi Li, Anqi Wu, Jacob L. Yates, Chengrui Li, Hadi Vafaii
2025 — conf
An Affective-Taxis Hypothesis for Alignment and Interpretability.
AGI (2)
Eli Sennesh, Maxwell Ramstead
2025 J jnl
An Affective-Taxis Hypothesis for Alignment and Interpretability.
CoRR
Eli Sennesh, Maxwell Ramstead
2024 A* conf
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm.
NeurIPS
Eli Sennesh, Hao Wu, Tommaso Salvatori
2024 J jnl
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm.
CoRR
Eli Sennesh, Hao Wu, Tommaso Salvatori
2023 — conf
Computing with Categories in Machine Learning.
AGI
Eli Sennesh, Tom Xu, Yoshihiro Maruyama
2023 J jnl
Computing with Categories in Machine Learning.
CoRR
Eli Sennesh, Tom Xu, Yoshihiro Maruyama
2023 — conf
String Diagrams with Factorized Densities.
ACT
Eli Sennesh, Jan-Willem van de Meent
2022 J jnl
A Computational Neural Model for Mapping Degenerate Neural Architectures.
Neuroinformatics
Zulqarnain Khan, Yiyu Wang, Eli Sennesh, Jennifer G. Dy, Sarah Ostadabbas, Jan-Willem van de Meent, J. Benjamin Hutchinson, Ajay B. Satpute
2022 J jnl
A Probabilistic Generative Model of Free Categories.
CoRR
Eli Sennesh, Tom Xu, Yoshihiro Maruyama
2022 — conf
Deriving Time-Averaged Active Inference from Control Principles.
IWAI
Eli Sennesh, Jordan Theriault, Jan-Willem van de Meent, Lisa Feldman Barrett, Karen S. Quigley
2022 J jnl
Deriving time-averaged active inference from control principles.
CoRR
Eli Sennesh, Jordan Theriault, Jan-Willem van de Meent, Lisa Feldman Barrett, Karen S. Quigley
2021 J jnl
Learning Proposals for Probabilistic Programs with Inference Combinators.
CoRR
Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent
2021 A conf
Learning proposals for probabilistic programs with inference combinators.
UAI
Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent
2020 A* conf
Amortized Population Gibbs Samplers with Neural Sufficient Statistics.
ICML
Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent
2020 B conf
Cue-Pin-Select, a Secure Mental Password Manager.
COMPSAC
Enka Blanchard, Ted Selker, Levi Gabasova, Eli Sennesh
2020 J jnl
Learning a Deep Generative Model like a Program: the Free Category Prior.
CoRR
Eli Sennesh
2020 A* conf
Neural Topographic Factor Analysis for fMRI Data.
NeurIPS
Eli Sennesh, Zulqarnain Khan, Yiyu Wang, J. Benjamin Hutchinson, Ajay B. Satpute, Jennifer G. Dy, Jan-Willem van de Meent
2019 J jnl
Amortized Population Gibbs Samplers with Neural Sufficient Statistics.
CoRR
Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent
2019 J jnl
Neural Topographic Factor Analysis for fMRI Data.
CoRR
Eli Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent
2018 J jnl
Composing Modeling and Inference Operations with Probabilistic Program Combinators.
CoRR
Eli Sennesh, Adam Scibior, Hao Wu, Jan-Willem van de Meent
2016 Misc conf
Structured gotos are (Slightly) harmful.
SAC
Eli Sennesh, Yossi Gil