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2020 – today
- 2024
[c12]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt
, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CAV (2) 2024: 249-264- [i14]Matthew L. Daggitt, Wen Kokke, Robert Atkey, Natalia Slusarz, Luca Arnaboldi, Ekaterina Komendantskaya:
Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs. CoRR abs/2401.06379 (2024) - [i13]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CoRR abs/2401.14461 (2024) - [i12]Matthew L. Daggitt, Wen Kokke, Robert Atkey:
Efficient compilation of expressive problem space specifications to neural network solvers. CoRR abs/2402.01353 (2024) - [i11]Robert Atkey, Wen Kokke:
A Semantic Proof of Generalised Cut Elimination for Deep Inference. CoRR abs/2404.06233 (2024) - 2023
- [j6]Simon Fowler, Wen Kokke, Ornela Dardha, Sam Lindley, J. Garrett Morris:
Separating Sessions Smoothly. Log. Methods Comput. Sci. 19(3) (2023) - [j5]Wen Kokke, Ornela Dardha:
Prioritise the Best Variation. Log. Methods Comput. Sci. 19(4) (2023) - [c11]Matthew L. Daggitt, Wen Kokke, Ekaterina Komendantskaya, Robert Atkey, Luca Arnaboldi, Natalia Slusarz, Marco Casadio, Ben Coke, Jeonghyeon Lee:
The Vehicle Tutorial: Neural Network Verification with Vehicle. FoMLAS@CAV 2023: 1-5 - [c10]Matthew L. Daggitt, Robert Atkey, Wen Kokke, Ekaterina Komendantskaya, Luca Arnaboldi:
Compiling Higher-Order Specifications to SMT Solvers: How to Deal with Rejection Constructively. CPP 2023: 102-120 - 2022
- [c9]Marco Casadio, Ekaterina Komendantskaya, Matthew L. Daggitt, Wen Kokke, Guy Katz, Guy Amir, Idan Refaeli:
Neural Network Robustness as a Verification Property: A Principled Case Study. CAV (1) 2022: 219-231 - [i10]Matthew L. Daggitt, Wen Kokke, Robert Atkey, Luca Arnaboldi, Ekaterina Komendantskaya:
Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers. CoRR abs/2202.05207 (2022) - [i9]Marco Casadio, Ekaterina Komendantskaya, Verena Rieser, Matthew L. Daggitt, Daniel Kienitz, Luca Arnaboldi, Wen Kokke:
Why Robust Natural Language Understanding is a Challenge. CoRR abs/2206.14575 (2022) - 2021
- [c8]Simon Fowler, Wen Kokke, Ornela Dardha, Sam Lindley, J. Garrett Morris:
Separating Sessions Smoothly. CONCUR 2021: 36:1-36:18 - [c7]Wen Kokke, Ornela Dardha:
Prioritise the Best Variation. FORTE 2021: 100-119 - [c6]Wen Kokke, Ornela Dardha:
Deadlock-free session types in linear Haskell. Haskell 2021: 1-13 - [i8]Wen Kokke, Ornela Dardha:
Prioritise the Best Variation. CoRR abs/2103.14466 (2021) - [i7]Wen Kokke, Ornela Dardha:
Deadlock-Free Session Types in Linear Haskell. CoRR abs/2103.14481 (2021) - [i6]Marco Casadio, Matthew L. Daggitt, Ekaterina Komendantskaya, Wen Kokke, Daniel Kienitz, Rob Stewart:
Property-driven Training: All You (N)Ever Wanted to Know About. CoRR abs/2104.01396 (2021) - [i5]Simon Fowler, Wen Kokke, Ornela Dardha, Sam Lindley, J. Garrett Morris:
Separating Sessions Smoothly. CoRR abs/2105.08996 (2021) - 2020
- [j4]Wen Kokke, J. Garrett Morris, Philip Wadler:
Towards Races in Linear Logic. Log. Methods Comput. Sci. 16(4) (2020) - [j3]Robert Griesemer, Raymond Hu, Wen Kokke, Julien Lange, Ian Lance Taylor, Bernardo Toninho, Philip Wadler, Nobuko Yoshida:
Featherweight go. Proc. ACM Program. Lang. 4(OOPSLA): 149:1-149:29 (2020) - [j2]Wen Kokke, Jeremy G. Siek, Philip Wadler:
Programming language foundations in Agda. Sci. Comput. Program. 194: 102440 (2020) - [c5]Wen Kokke, Ekaterina Komendantskaya, Daniel Kienitz, Robert Atkey, David Aspinall:
Neural Networks, Secure by Construction - An Exploration of Refinement Types. APLAS 2020: 67-85 - [c4]Ekaterina Komendantskaya, Wen Kokke, Daniel Kienitz:
Continuous Verification of Machine Learning: a Declarative Programming Approach. PPDP 2020: 1:1-1:3 - [i4]Robert Griesemer, Raymond Hu, Wen Kokke, Julien Lange, Ian Lance Taylor, Bernardo Toninho, Philip Wadler, Nobuko Yoshida:
Featherweight Go. CoRR abs/2005.11710 (2020)
2010 – 2019
- 2019
- [j1]Wen Kokke, Fabrizio Montesi, Marco Peressotti:
Better late than never: a fully-abstract semantics for classical processes. Proc. ACM Program. Lang. 3(POPL): 24:1-24:29 (2019) - [c3]Wen Kokke, J. Garrett Morris, Philip Wadler:
Towards Races in Linear Logic. COORDINATION 2019: 37-53 - [c2]Wen Kokke:
Rusty Variation: Deadlock-free Sessions with Failure in Rust. ICE 2019: 48-60 - [i3]Wen Kokke, J. Garrett Morris, Philip Wadler:
Towards Races in Linear Logic. CoRR abs/1909.13376 (2019) - 2018
- [c1]Wen Kokke, Fabrizio Montesi, Marco Peressotti:
Taking Linear Logic Apart. Linearity-TLLA@FLoC 2018: 90-103 - [i2]Wen Kokke, Fabrizio Montesi, Marco Peressotti:
Better Late Than Never: A Fully Abstract Semantics for Classical Processes. CoRR abs/1811.02209 (2018) - 2017
- [i1]Wen Kokke:
Formalising Type-Logical Grammars in Agda. CoRR abs/1709.00728 (2017)
Coauthor Index
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