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Eli Sennesh
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2020 – today
- 2024
- [i10]Eli Sennesh, Hao Wu, Tommaso Salvatori:
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm. CoRR abs/2408.05834 (2024) - 2023
- [c8]Eli Sennesh, Tom Xu, Yoshihiro Maruyama:
Computing with Categories in Machine Learning. AGI 2023: 244-254 - [c7]Eli Sennesh, Jan-Willem van de Meent:
String Diagrams with Factorized Densities. ACT 2023: 260-278 - [i9]Eli Sennesh, Tom Xu, Yoshihiro Maruyama:
Computing with Categories in Machine Learning. CoRR abs/2303.04156 (2023) - 2022
- [j1]Zulqarnain Khan
, Yiyu Wang
A Computational Neural Model for Mapping Degenerate Neural Architectures. Neuroinformatics 20(4): 965-979 (2022) - [c6]Eli Sennesh
Deriving Time-Averaged Active Inference from Control Principles. IWAI 2022: 355-370 - [i8]Eli Sennesh, Tom Xu, Yoshihiro Maruyama:
A Probabilistic Generative Model of Free Categories. CoRR abs/2205.04545 (2022) - [i7]Eli Sennesh, Jordan Theriault, Jan-Willem van de Meent, Lisa Feldman Barrett, Karen S. Quigley:
Deriving time-averaged active inference from control principles. CoRR abs/2208.10601 (2022) - 2021
- [c5]Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh
Learning proposals for probabilistic programs with inference combinators. UAI 2021: 1056-1066 - [i6]Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent:
Learning Proposals for Probabilistic Programs with Inference Combinators. CoRR abs/2103.00668 (2021) - 2020
- [c4]Enka Blanchard, Ted Selker, Levi Gabasova, Eli Sennesh:
Cue-Pin-Select, a Secure Mental Password Manager. COMPSAC 2020: 418-428 - [c3]Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent:
Amortized Population Gibbs Samplers with Neural Sufficient Statistics. ICML 2020: 10421-10431 - [c2]Eli Sennesh, Zulqarnain Khan, Yiyu Wang, J. Benjamin Hutchinson, Ajay B. Satpute, Jennifer G. Dy, Jan-Willem van de Meent:
Neural Topographic Factor Analysis for fMRI Data. NeurIPS 2020 - [i5]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:
Deep Markov Spatio-Temporal Factorization. CoRR abs/2003.09779 (2020) - [i4]Eli Sennesh:
Learning a Deep Generative Model like a Program: the Free Category Prior. CoRR abs/2011.11063 (2020)
2010 – 2019
- 2019
- [i3]Eli Sennesh, Zulqarnain Khan, Jennifer G. Dy, Ajay B. Satpute, J. Benjamin Hutchinson, Jan-Willem van de Meent:
Neural Topographic Factor Analysis for fMRI Data. CoRR abs/1906.08901 (2019) - [i2]Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent:
Amortized Population Gibbs Samplers with Neural Sufficient Statistics. CoRR abs/1911.01382 (2019) - 2018
- [i1]Eli Sennesh, Adam Scibior, Hao Wu, Jan-Willem van de Meent:
Composing Modeling and Inference Operations with Probabilistic Program Combinators. CoRR abs/1811.05965 (2018) - 2016
- [c1]Eli Sennesh, Yossi Gil:
Structured gotos are (Slightly) harmful. SAC 2016: 1784-1789
Coauthor Index
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last updated on 2024-09-30 00:06 CEST by the dblp team
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