POPL 2023
Sun 15 - Sat 21 January 2023 Boston, Massachusetts, United States
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        • - Introduction to the tensor-programs framework, a PL approach that helps analyse theoretical properties of deep learning.
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POPL 2023 (series) / PEPM 2023 (series) / PEPM 2023 /

Program Committee PEPM

Nada Amin

Nada Amin

Harvard University

United States

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Adam D. Barwell

Imperial College London, UK

Nicolas Biri

Nicolas Biri

Input Output Global (IOG)

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David Castro-Perez

University of Kent

United Kingdom

Cristina David

Cristina David

University of Bristol

United Kingdom

Atsushi Igarashi

Atsushi Igarashi

Kyoto University

Japan

Yukiyoshi Kameyama

Yukiyoshi Kameyama

University of Tsukuba

Japan

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Geoffrey Mainland

Drexel University

United States

Hila Peleg

Hila Peleg

Technion

Israel

Casper Bach

Casper Bach

Delft University of Technology

Netherlands

Sukyoung Ryu

Sukyoung Ryu

KAIST

South Korea

Sven-Bodo Scholz

Sven-Bodo Scholz

Radboud University

Netherlands

Ilya Sergey

Ilya Sergey

National University of Singapore

Singapore

Satnam Singh

Satnam Singh

Groq

United States

Elena Zucca

Elena Zucca

University of Genoa

Italy

xThu 29 May 10:30

POPL 2023

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Tracks

POPL
Session Previews
Artifact Evaluation
Diversity, Equity and Inclusion
Student Research Competition
Student Volunteers
TutorialFest
Workshops and Co-located Events

Co-hosted Conferences

CPP 2023
VMCAI 2023

Workshops

CoqPL 2023
LAFI 2023
PEPM 2023
PLMW @ POPL 2023
PriSC 2023
ProLaLa 2023

Co-hosted Symposia

PADL 2023

Attending

Venue: Boston Park Plaza
Supporting POPL
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Information for Students
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