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- Alexandra Silva 0001
Cornell University, Ithaca, NY, USA
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Publication search results
found 205 matches
- 2024
- Aniello Murano, Alexandra Silva:
32nd EACSL Annual Conference on Computer Science Logic, CSL 2024, February 19-23, 2024, Naples, Italy. LIPIcs 288, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2024, ISBN 978-3-95977-310-2 [contents] - Tao Gu, Jialu Bao, Justin Hsu, Alexandra Silva, Fabio Zanasi:
A Categorical Approach to DIBI Models. CoRR abs/2401.05842 (2024) - 2023
- Emily Ruppel, Sihang Liu, Elba Garza, Sukyoung Ryu, Alexandra Silva, Talia Ringer:
Long-Term Mentoring for Computer Science Researchers. Commun. ACM 66(5): 33-35 (2023) - Mark Moeller, Thomas Wiener, Alaia Solko-Breslin, Caleb Koch, Nate Foster, Alexandra Silva:
Automata Learning with an Incomplete Teacher (Artifact). Dagstuhl Artifacts Ser. 9(2): 21:1-21:3 (2023) - Noam Zilberstein, Derek Dreyer, Alexandra Silva:
Outcome Logic: A Unifying Foundation for Correctness and Incorrectness Reasoning. Proc. ACM Program. Lang. 7(OOPSLA1): 522-550 (2023) - Stefan Zetzsche, Alexandra Silva, Matteo Sammartino:
Generators and Bases for Monadic Closures. CALCO 2023: 11:1-11:19 - Mark Moeller, Thomas Wiener, Alaia Solko-Breslin, Caleb Koch, Nate Foster, Alexandra Silva:
Automata Learning with an Incomplete Teacher. ECOOP 2023: 21:1-21:30 - Todd Schmid, Tobias Kappé, Alexandra Silva:
A Complete Inference System for Skip-free Guarded Kleene Algebra with Tests. ESOP 2023: 309-336 - Wojciech Rozowski, Tobias Kappé, Dexter Kozen, Todd Schmid, Alexandra Silva:
Probabilistic Guarded KAT Modulo Bisimilarity: Completeness and Complexity. ICALP 2023: 136:1-136:20 - Fredrik Dahlqvist, Alexandra Silva, William Smith:
Deterministic stream-sampling for probabilistic programming: semantics and verification. LICS 2023: 1-13 - Erik Voogd, Einar Broch Johnsen, Alexandra Silva, Zachary J. Susag, Andrzej Wasowski:
Symbolic Semantics for Probabilistic Programs. QEST 2023: 329-345 - Dexter Kozen, Alexandra Silva, Erik Voogd:
Joint Distributions in Probabilistic Semantics. MFPS 2023 - Tiago Ferreira, Léo Henry, Raquel Fernandes da Silva, Alexandra Silva:
Conflict-Aware Active Automata Learning. GandALF 2023: 150-167 - Dexter Kozen, Alexandra Silva:
Multisets and Distributions. CoRR abs/2301.10812 (2023) - Todd Schmid, Tobias Kappé, Alexandra Silva:
A Complete Inference System for Skip-free Guarded Kleene Algebra with Tests. CoRR abs/2301.11301 (2023) - Noam Zilberstein, Derek Dreyer, Alexandra Silva:
Outcome Logic: A Unifying Foundation for Correctness and Incorrectness Reasoning. CoRR abs/2303.03111 (2023) - Keri D'Angelo, Alexandra Silva, Gerco van Heerdt, Leon Witzman:
A Coalgebraic Approach to Reducing Finitary Automata. CoRR abs/2303.14916 (2023) - Fredrik Dahlqvist, Alexandra Silva, William Smith:
Deterministic stream-sampling for probabilistic programming: semantics and verification. CoRR abs/2304.13504 (2023) - Wojciech Rozowski, Tobias Kappé, Dexter Kozen, Todd Schmid, Alexandra Silva:
Probabilistic Guarded KAT Modulo Bisimilarity: Completeness and Complexity. CoRR abs/2305.01755 (2023) - Noam Zilberstein, Angelina Saliling, Alexandra Silva:
Outcome Separation Logic: Local Reasoning for Correctness and Incorrectness with Computational Effects. CoRR abs/2305.04842 (2023) - Erik Voogd, Einar Broch Johnsen, Alexandra Silva, Zachary J. Susag, Andrzej Wasowski:
Symbolic Semantics for Probabilistic Programs (extended version). CoRR abs/2307.09951 (2023) - Tiago Ferreira, Léo Henry, Raquel Fernandes da Silva, Alexandra Silva:
Conflict-Aware Active Automata Learning. CoRR abs/2308.14781 (2023) - Wojciech Rozowski, Alexandra Silva:
A Completeness Theorem for Probabilistic Regular Expressions. CoRR abs/2310.08779 (2023) - 2022
- Mark Bickford, Dexter Kozen, Alexandra Silva:
Formalizing Moessner's theorem and generalizations in Nuprl. J. Log. Algebraic Methods Program. 124: 100713 (2022) - Tiago Ferreira, Gerco van Heerdt, Alexandra Silva:
Tree-Based Adaptive Model Learning. A Journey from Process Algebra via Timed Automata to Model Learning 2022: 164-179 - Gerco van Heerdt, Tobias Kappé, Jurriaan Rot, Matteo Sammartino, Alexandra Silva:
A Categorical Framework for Learning Generalised Tree Automata. CMCS 2022: 67-87 - Jana Wagemaker, Nate Foster, Tobias Kappé, Dexter Kozen, Jurriaan Rot, Alexandra Silva:
Concurrent NetKAT - Modeling and analyzing stateful, concurrent networks. ESOP 2022: 575-602 - Todd Schmid, Wojciech Rozowski, Alexandra Silva, Jurriaan Rot:
Processes Parametrised by an Algebraic Theory. ICALP 2022: 132:1-132:20 - Stefan Zetzsche, Alexandra Silva, Matteo Sammartino:
Guarded Kleene Algebra with Tests: Automata Learning. MFPS 2022 - Stefan Szeider, Robert Ganian, Alexandra Silva:
47th International Symposium on Mathematical Foundations of Computer Science, MFCS 2022, August 22-26, 2022, Vienna, Austria. LIPIcs 241, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2022, ISBN 978-3-95977-256-3 [contents]
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