Vaishak Belle

Orcid: 0000-0001-5573-8465

Affiliations:
  • University of Edinburgh, UK


According to our database1, Vaishak Belle authored at least 117 papers between 2008 and 2024.

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Bibliography

2024
Principled diverse counterfactuals in multilinear models.
Mach. Learn., 2024

2023
Learnability with PAC Semantics for Multi-agent Beliefs.
Theory Pract. Log. Program., July, 2023

Toward A Logical Theory Of Fairness and Bias.
Theory Pract. Log. Program., July, 2023

Knowledge representation and acquisition for ethical AI: challenges and opportunities.
Ethics Inf. Technol., March, 2023

Epistemic planning: Perspectives on the special issue.
Artif. Intell., March, 2023

Boolean Connectives and Deep Learning: Three Interpretations.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Deep Inductive Logic Programming meets Reinforcement Learning.
Proceedings of the Proceedings 39th International Conference on Logic Programming, 2023

Statistical relational learning and neuro-symbolic AI: what does first-order logic offer?
CoRR, 2023

Agency and legibility for artists through Experiential AI.
CoRR, 2023

Experiential AI: A transdisciplinary framework for legibility and agency in AI.
CoRR, 2023

Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration.
CoRR, 2023

Challenges in Explaining Brain Tumor Detection.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

Synthesising Recursive Functions for First-Order Model Counting: Challenges, Progress, and Conjectures.
Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, 2023

Concerning Measures in a First-order Logic with Actions and Meta-beliefs.
Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, 2023

Excursions in First-Order Logic and Probability: Infinitely Many Random Variables, Continuous Distributions, Recursive Programs and Beyond.
Proceedings of the Logics in Artificial Intelligence - 18th European Conference, 2023

Model Transparency: Why Do We Care?
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Logic + Reinforcement Learning + Deep Learning: A Survey.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Transparency in Sum-Product Network Decompilation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Verifying Belief-Based Programs via Symbolic Dynamic Programming.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Abstracting Noisy Robot Programs.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

A Logic of Only-Believing over Arbitrary Probability Distributions.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

A Web-based Tool for Detecting Argument Validity and Novelty.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Neuro-Symbolic AI + Agent Systems: A First Reflection on Trends, Opportunities and Challenges.
Proceedings of the Autonomous Agents and Multiagent Systems. Best and Visionary Papers - AAMAS 2023 Workshops, London, UK, May 29, 2023

Actions, Continuous Distributions and Meta-Beliefs.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Breaking CAPTCHA with Capsule Networks.
Neural Networks, 2022

Intention Recognition With ProbLog.
Frontiers Artif. Intell., 2022

Signal Perceptron: On the Identifiability of Boolean Function Spaces and Beyond.
Frontiers Artif. Intell., 2022

Using Abstraction for Interpretable Robot Programs in Stochastic Domains.
CoRR, 2022

Explainability in Machine Learning: a Pedagogical Perspective.
CoRR, 2022

Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities.
CoRR, 2022

Efficient multi-agent epistemic planning: Teaching planners about nested belief.
Artif. Intell., 2022

Analyzing generalized planning under nondeterminism.
Artif. Intell., 2022

Tractable Probabilistic Models for Ethical AI.
Proceedings of the Graph-Based Representation and Reasoning, 2022

KEViN: A Knowledge Enhanced Validity and Novelty Classifier for Arguments.
Proceedings of the 9th Workshop on Argument Mining, 2022

MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Logic Meets Learning: From Aristotle to Neural Networks.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

One down, 699 to go: or, synthesising compositional desugarings.
Proc. ACM Program. Lang., 2021

Fairness in machine learning with tractable models.
Knowl. Based Syst., 2021

Closed-Form Results for Prior Constraints in Sum-Product Networks.
Frontiers Artif. Intell., 2021

Principles and Practice of Explainable Machine Learning.
Frontiers Big Data, 2021

Probabilistic Tractable Models in Mixed Discrete-Continuous Domains.
Data Intell., 2021

Learning tractable probabilistic models for moral responsibility and blame.
Data Min. Knowl. Discov., 2021

Lifted reasoning meets weighted model integration.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Weighted model counting with conditional weights for Bayesian networks.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Weighted Model Counting Without Parameter Variables.
Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2021, 2021

Intent Recognition in Smart Homes with ProbLog.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Learning Implicitly with Noisy Data in Linear Arithmetic.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Abstracting probabilistic models: Relations, constraints and beyond.
Knowl. Based Syst., 2020

A correctness result for synthesizing plans with loops in stochastic domains.
Int. J. Approx. Reason., 2020

Semiring programming: A semantic framework for generalized sum product problems.
Int. J. Approx. Reason., 2020

On Constraint Definability in Tractable Probabilistic Models.
CoRR, 2020

Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations.
CoRR, 2020

SMT + ILP.
CoRR, 2020

Regression and progression in stochastic domains.
Artif. Intell., 2020

Logic, Probability and Action: A Situation Calculus Perspective.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Symbolic Logic Meets Machine Learning: A Brief Survey in Infinite Domains.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Scaling up Probabilistic Inference in Linear and Non-linear Hybrid Domains by Leveraging Knowledge Compilation.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Polynomial-Time Implicit Learnability in SMT.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Logical Interpretations of Autoencoders.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Generating Random Logic Programs Using Constraint Programming.
Proceedings of the Principles and Practice of Constraint Programming, 2020

Learning Credal Sum-Product Networks.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019
The Quest for Interpretable and Responsible Artificial Intelligence.
CoRR, 2019

Learning Tractable Probabilistic Models in Open Worlds.
CoRR, 2019

Experiential AI.
AI Matters, 2019

Implicitly learning to reason in first-order logic.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Probabilistic Logic Programs over Continuous Data.
Proceedings of the Inductive Logic Programming - 29th International Conference, 2019

2018
Deep Tractable Probabilistic Models for Moral Responsibility.
CoRR, 2018

Abstracting Probabilistic Relational Models.
CoRR, 2018

Learning Probabilistic Logic Programs in Continuous Domains.
CoRR, 2018

Tractable Querying and Learning in Hybrid Domains via Sum-Product Networks.
CoRR, 2018

Reasoning about discrete and continuous noisy sensors and effectors in dynamical systems.
Artif. Intell., 2018

Efficient Symbolic Integration for Probabilistic Inference.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

On Plans With Loops and Noise.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Probabilistic Planning by Probabilistic Programming.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Planning in hybrid relational MDPs.
Mach. Learn., 2017

Weighted Model Counting With Function Symbols.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Solving Probability Problems in Natural Language.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Reasoning about Probabilities in Unbounded First-Order Dynamical Domains.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Logic meets Probability: Towards Explainable AI Systems for Uncertain Worlds.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

The Symbolic Interior Point Method.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Open-Universe Weighted Model Counting: Extended Abstract.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Open-Universe Weighted Model Counting.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Logical Theory of Localization.
Stud Logica, 2016

Semiring Programming: A Framework for Search, Inference and Learning.
CoRR, 2016

Foundations for Generalized Planning in Unbounded Stochastic Domains.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

Hashing-Based Approximate Probabilistic Inference in Hybrid Domains: An Abridged Report.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A First-Order Logic of Probability and Only Knowing in Unbounded Domains.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Component Caching in Hybrid Domains with Piecewise Polynomial Densities.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Satisfiability and Model Counting in Open Universes.
Proceedings of the Beyond NP, 2016

2015
Robot location estimation in the situation calculus.
J. Appl. Log., 2015

Semantical considerations on multiagent only knowing.
Artif. Intell., 2015

Hashing-Based Approximate Probabilistic Inference in Hybrid Domains.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Probabilistic Inference in Hybrid Domains by Weighted Model Integration.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

ALLEGRO: Belief-Based Programming in Stochastic Dynamical Domains.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Only Knowing Meets Common Knowledge.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-Agent Only Knowing on Planet Kripke.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Planning Over Multi-Agent Epistemic States: A Classical Planning Approach.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Review of programming with higher-order logic by Dale Miller and Gopalan Nadathur.
SIGACT News, 2014

Multiagent Only Knowing in Dynamic Systems.
J. Artif. Intell. Res., 2014

On the projection problem in active knowledge bases with incomplete information.
AI Matters, 2014

On the Progression of Knowledge in Multiagent Systems.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

How to Progress Beliefs in Continuous Domains.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Non-Deterministic Planning With Conditional Effects.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

A Logical Theory of Robot Localization.
Proceedings of the 2014 AAAI Spring Symposia, 2014

Computing Contingent Plans via Fully Observable Non-Deterministic Planning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

PREGO: An Action Language for Belief-Based Cognitive Robotics in Continuous Domains.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Reasoning about Probabilities in Dynamic Systems using Goal Regression.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Reasoning about Continuous Uncertainty in the Situation Calculus.
Proceedings of the IJCAI 2013, 2013

2012
On the projection problem in active knowledge bases with incomplete information.
PhD thesis, 2012

2011
Review of from zero to infinity: what makes numbers interesting by Constance Reid.
SIGACT News, 2011

On Progression and Query Evaluation in First-Order Knowledge Bases with Function Symbols.
Proceedings of the IJCAI 2011, 2011

A Semantical Account of Progression in the Presence of Uncertainty.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Multi-Agent Only-Knowing Revisited.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Twelfth International Conference, 2010

Multi-Agent Only-Knowing Revisited.
Proceedings of the Joint Workshop of the German Research Training Groups in Computer Science, 2010

Reasoning about Imperfect Information Games in the Epistemic Situation Calculus.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2008
Randomized trees for real-time one-step face detection and recognition.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


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