A Hardware Perspective to Evaluating Probabilistic Circuits

Jelin Leslin; Antti Hyttinen; Karthekeyan Periasamy; Lingyun Yao; Martin Trapp; Martin Andraud

A Hardware Perspective to Evaluating Probabilistic Circuits

Jelin Leslin^*
, Antti Hyttinen
, Karthekeyan Periasamy
, Lingyun Yao
, Martin Trapp
, Martin Andraud

^*Corresponding author for this work

University of Helsinki

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Original language	English
Title of host publication	Proceedings of Machine Learning Research
Publisher	JMLR
Pages	349-360
Number of pages	12
Publication status	Published - 2022
MoE publication type	A4 Conference publication
Event	International Conference on Probabilistic Graphical Models - Almeria, Spain, Almeria, Spain Duration: 5 Oct 2022 → 7 Oct 2022 Conference number: 11 https://www2.ual.es/pgm2022/

Publication series

Name	Proceedings of Machine Learning Research
ISSN (Electronic)	2640-3498

Conference

Conference	International Conference on Probabilistic Graphical Models
Abbreviated title	PGM
Country/Territory	Spain
City	Almeria
Period	05/10/2022 → 07/10/2022
Internet address	https://www2.ual.es/pgm2022/

Access to Document

https://proceedings.mlr.press/v186/leslin22a.html

Trapp Martin: Exploiting Probabilistic Circuits for Stochastic Processes and Deep Learning
Trapp, M. (Principal investigator)
01/09/2022 → 31/08/2025
Project: RCF Postdoctoral Researcher
WHISTLE: When integrated systems gain life experience: towards self-learning circuits with resource-efficient embedded artificial intelligence
Andraud, M. (Principal investigator), Adam, K. (Project Member), Zhong, X. (Project Member), Yao, L. (Project Member), Leslin, J. (Project Member), Bhowmick, S. (Project Member) & Periasamy, K. (Project Member)
01/09/2020 → 31/08/2024
Project: RCF Academy Project

Science-IT
Hakala, M. (Manager)
School of Science
Facility/equipment: Facility

Cite this

@inproceedings{9a6c17d6fc8343e5afdaabbe88f73915,

title = "A Hardware Perspective to Evaluating Probabilistic Circuits",

author = "Jelin Leslin and Antti Hyttinen and Karthekeyan Periasamy and Lingyun Yao and Martin Trapp and Martin Andraud",

year = "2022",

language = "English",

series = "Proceedings of Machine Learning Research",

publisher = "JMLR",

pages = "349--360",

booktitle = "Proceedings of Machine Learning Research",

address = "United States",

note = "International Conference on Probabilistic Graphical Models, PGM ; Conference date: 05-10-2022 Through 07-10-2022",

url = "https://www2.ual.es/pgm2022/",

}

Leslin, J, Hyttinen, A, Periasamy, K, Yao, L, Trapp, M & Andraud, M 2022, A Hardware Perspective to Evaluating Probabilistic Circuits. in Proceedings of Machine Learning Research. Proceedings of Machine Learning Research, JMLR, pp. 349-360, International Conference on Probabilistic Graphical Models, Almeria, Spain, 05/10/2022. <https://proceedings.mlr.press/v186/leslin22a.html>

TY - GEN

T1 - A Hardware Perspective to Evaluating Probabilistic Circuits

AU - Leslin, Jelin

AU - Hyttinen, Antti

AU - Periasamy, Karthekeyan

AU - Yao, Lingyun

AU - Trapp, Martin

AU - Andraud, Martin

N1 - Conference code: 11

PY - 2022

Y1 - 2022

M3 - Conference article in proceedings

T3 - Proceedings of Machine Learning Research

SP - 349

EP - 360

BT - Proceedings of Machine Learning Research

PB - JMLR

T2 - International Conference on Probabilistic Graphical Models

Y2 - 5 October 2022 through 7 October 2022

ER -

A Hardware Perspective to Evaluating Probabilistic Circuits

Publication series

Conference

Access to Document

Projects

Trapp Martin: Exploiting Probabilistic Circuits for Stochastic Processes and Deep Learning

WHISTLE: When integrated systems gain life experience: towards self-learning circuits with resource-efficient embedded artificial intelligence

Equipment

Science-IT

Cite this