Research output per year
Research output per year
Personal profile
Research Interests
Explainable AI, scalable probabilistic inference and learning, probabilistic programming, statistical relational learning, commonsence reasoning, automated planning, and unifying logic and probability more generally.
Qualifications
2012, PhD, RWTH Aachen University.
2008, MS, University of Trento.
2008, MS, RWTH Aachen University.
Biography
Vaishak Belle is a Chancellor's Fellow at the University of Edinburgh. He is affiliated with the School of Informatics and CISA. He was previously at KU Leuven (Belgium), University of Toronto (Canada), Aachen University of Technology (Germany) and University of Trento (Italy).
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An algebraic framework for hierarchical probabilistic abstraction
Upreti, N. & Belle, V., 20 Aug 2024, (Accepted/In press) Proceedings of the 4th International Joint Conference on Learning and Reasoning. Springer, p. 1-17 17 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Language-agnostic semantics for implicit learning as reasoning: Extended abstract
Belle, V., 20 Aug 2024, (Accepted/In press) Proceedings of the 4th International Joint Conference on Learning and Reasoning. Springer, p. 1-10 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
MisCC: Misinformation detection on counterfactual claims
Li, X., Belle, V. & Ross, B., 20 Aug 2024, (Accepted/In press) Proceedings of the 4th International Joint Conference on Learning and Reasoning. Springer, p. 1-15 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Reasoning about neural network perception in the situation calculus
Belle, V. & Liu, D., 20 Aug 2024, (Accepted/In press) Proceedings of the 4th International Joint Conference on Learning and Reasoning. Springer, p. 1-9 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Can large language models put 2 and 2 together? Probing for entailed arithmetical relationships
Panas, D., Seth, S. & Belle, V., 7 Jun 2024, (Accepted/In press) Proceedings of the 18th International Conference for Neurosymbolic Learning and Reasoning. (Proceedings of the International Conference for Neurosymbolic Learning and Reasoning).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile
Activities
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18th Edition of the European Conference on Logics in Artificial Intelligence
Vaishak Belle (Keynote/plenary speaker)
21 Sept 2023Activity: Participating in or organising an event types › Participation in conference
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Artificial Intelligence (Journal)
Vaishak Belle (Editor), Thomas Bolander (Editor), Andreas Herzig (Editor) & Bernhard Nebel (Editor)
21 Dec 2022Activity: Publication peer-review and editorial work types › Editorial activity
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AIUK 2022
Drew Hemment (Speaker), Matjaz Vidmar (Speaker), Dagmara Panas (Speaker), Ines Camara Leret (Speaker), Lex Fefegha (Speaker), Eliza Easton (Speaker), Vaishak Belle (Speaker), Adam Harvey (Speaker), Miriam Walsh (Contributor), David Sarimento (Contributor), Keili Koppel (Contributor), Sarah Mackinnon (Contributor) & Julie Ann Fooshee (Contributor)
23 Mar 2022Activity: Participating in or organising an event types › Public Engagement – Public lecture/debate/seminar
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Experiential AI: Entanglements – Fair, Moral and Transparent AI
Drew Hemment (Speaker), Dave Murray-Rust (Speaker), Larissa Pschetz (Speaker) & Vaishak Belle (Speaker)
8 Sept 2019Activity: Academic talk or presentation types › Invited talk
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Talk: Experiential AI
Drew Hemment (Speaker), Dave Murray-Rust (Speaker), Larissa Pschetz (Speaker) & Vaishak Belle (Speaker)
19 May 2019Activity: Academic talk or presentation types › Invited talk
Prizes
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Best Paper Award
Li, Xue (Recipient), Belle, Vaishak (Recipient) & Ross, Bjorn (Recipient), 22 Sept 2024
Prize: Prize (including medals and awards)
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Enabling a Responsible AI Ecosystem
Vallor, S., Belle, V., Bhuta, N., Hood, B., Luger, E., Luger, E. & Sethi, N.
Arts and Humanities Research Council
14/11/22 → 12/05/25
Project: Research
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Efficient Inference and Learning in Probabilistic Logical Models: Open-World Modelling and Neurosymbolic AI
20/01/25 → 19/01/28
Project: Research
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The New Real ¿ Trust and acceptance in networked, online experiences to enable and support post-COVID19 recovery
1/01/21 → 31/10/22
Project: Research