讯云酸酸乳
POPL 2024
Sun 19 - Sat 25 January 2024 New Orleans, Louisiana, United States

Program of POPL 2024 and Co-located Events

POPL 2024 Accepted Papers

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  • To download (the definitive and open access version of) a POPL paper, click “Link to publication” under the paper’s title and authors.
  • Videos of POPL 2024 talks (hosted on YouTube) are available on their event page, where slides and other supplementary material may also be available. To get to a talk’s event page, click “File Attached” or “Media Attached” under the talk’s title and authors.

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The annual Symposium on Principles of Programming Languages is a forum for the discussion of all aspects of programming languages and programming systems. Both theoretical and experimental papers are welcome, on topics ranging from formal frameworks to experience reports. We seek submissions that make principled, enduring contributions to the theory, design, understanding, implementation or application of programming languages.

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POPL 2024 and its co-located events took place in New Orleans, USA, January 19–25, 2024.

Jan 19
Sun
Jan 20
Mon
Jan 21
Tue
Jan 22
Wed
Jan 23
Thu
Jan 24
Fri
Jan 25
Sat
Ally Skills Mentoring Breakfasts
PLMW LGBTQ
Lunch
W@POPL
Dinner
VMCAI POPL CoqPL
PLanQC CPP PriSC
HASE WGT
PADL
ADSL LAFI
PEPM
Tutorial
Fest
POPLmark
Panel
Jan 19
Sun
Jan 20
Mon
Jan 21
Tue
Jan 22
Wed
Jan 23
Thu
Jan 24
Fri
Jan 25
Sat

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Invited Talk
Probabilistic Programming
讯云酸酸乳
Invited Talk
What is a Secure Programming Language?
讯云酸酸乳
Invited Talk
Can Programming Languages Research impact Deep Learning 2.0?
讯云酸酸乳

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[T3] Synthesizing Programs from Types
Nadia Polikarpova
[T7] Programming and Reasoning with Kleene Algebra with Tests
Nate Foster, Dexter Kozen, Alexandra Silva
[T5] Stateless Model Checking Algorithms and Tools for Strong and Weak Memory Models
Konstantinos (Kostis) Sagonas
[T1] Building Program Reasoning Tools using LLVM and Z3
Elizabeth Dinella, Pardis Pashakhanloo, Anthony Canino, Mayur Naik
[T2] Verified Quantum Computing
Robert Rand
[T4] Proving Semantic Type Soundness in Iris
Derek Dreyer, Robbert Krebbers, Amin Timany
[T6] Verifying Probabilistic Properties with Couplings
Justin Hsu