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ORCIDIonela G. Mocanu
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- affiliation: University of Edinburgh, UK
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Journal Articles
- 2023
[j3]Ionela G. Mocanu, Vaishak Belle:
Knowledge representation and acquisition in the era of large language models: Reflections on learning to reason via PAC-Semantics. Nat. Lang. Process. J. 5: 100036 (2023)- [j2]Ionela G. Mocanu
, Vaishak Belle, Brendan Juba:
Learnability with PAC Semantics for Multi-agent Beliefs. Theory Pract. Log. Program. 23(4): 730-747 (2023) - 2022
- [j1]Ionela Georgiana Mocanu, Zhenxu Yang, Vaishak Belle:
Breaking CAPTCHA with Capsule Networks. Neural Networks 154: 246-254 (2022)
Conference and Workshop Papers
- 2023
- [c5]Ionela G. Mocanu, Vaishak Belle, Brendan Juba:
Learnability with PAC Semantics for Multi-agent Beliefs. AAMAS 2023: 2604-2606 - 2021
- [c4]Alexander Philipp Rader, Ionela G. Mocanu, Vaishak Belle, Brendan Juba:
Learning Implicitly with Noisy Data in Linear Arithmetic. IJCAI 2021: 1410-1417 - [c3]Ionela G. Mocanu:
On the Learnability of Knowledge in Multi-Agent Logics. IJCAI 2021: 4907-4908 - [c2]Zhongli Filippo Hu, Tsvi Kuflik, Ionela Georgiana Mocanu, Shabnam Najafian, Avital Shulner-Tal:
Recent Studies of XAI - Review. UMAP (Adjunct Publication) 2021: 421-431 - 2020
- [c1]Ionela G. Mocanu, Vaishak Belle, Brendan Juba:
Polynomial-Time Implicit Learnability in SMT. ECAI 2020: 1152-1158
Informal and Other Publications
- 2023
- [i2]Ionela G. Mocanu, Vaishak Belle, Brendan Juba:
Learnability with PAC Semantics for Multi-agent Beliefs. CoRR abs/2306.05490 (2023) - 2020
- [i1]Alexander Philipp Rader, Ionela G. Mocanu, Vaishak Belle, Brendan Juba:
Learning Implicitly with Noisy Data in Linear Arithmetic. CoRR abs/2010.12619 (2020)
Coauthor Index
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