Eli Sennesh - RankMe

22 papers A* 3A 1B 1Misc 1Journal 12Unranked 4

Year	Rank	Type	Title / 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