Artificial Intelligence

Papers
(The median citation count of Artificial Intelligence is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors119
Polynomial combined first-order rewritings for linear and guarded existential rules116
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach113
Editorial Board102
Mitigating robust overfitting via self-residual-calibration regularization96
Editorial Board72
Primarily about primaries67
Drawing a map of elections66
Iterative voting with partial preferences65
Knowledge-driven profile dynamics63
Transfer learning for collaborative recommendation with biased and unbiased data62
A computational model of Ostrom's Institutional Analysis and Development framework61
No free lunch theorem for privacy-preserving LLM inference59
Manipulation and peer mechanisms: A survey57
Defense coordination in security games: Equilibrium analysis and mechanism design54
Learning MAX-SAT from contextual examples for combinatorial optimisation51
Weighted EF1 allocations for indivisible chores49
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control48
Epistemic planning: Perspectives on the special issue38
Estimating possible causal effects with latent variables via adjustment and novel rule orientation37
Hyper-heuristics for personnel scheduling domains36
Multi-objective reinforcement learning for provably incentivising alignment with value systems34
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error32
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes30
An α-regret analysis of adversarial bilateral trade28
The distortion of distributed metric social choice28
Accurate parameter estimation for safety-critical systems with unmodeled dynamics28
The complexity landscape of claim-augmented argumentation frameworks27
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems27
Editorial Board26
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic 25
Introduction to open-world AI25
Settling the score: Portioning with cardinal preferences24
CBS-Budget (CBSB): A complete and bounded suboptimal search for multi-agent path finding23
Approximate weighted model integration on DNF structures22
From statistical relational to neurosymbolic artificial intelligence: A survey22
Editorial Board22
Editorial Board22
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]21
Learning optimal contracts with small action spaces21
Certified reinforcement learning with logic guidance20
Spectral clustering with robust self-learning constraints20
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction20
Temporal inductive path neural network for temporal knowledge graph reasoning18
Contra2: A one-step active learning method for imbalanced graphs18
Editorial Board18
Editorial Board17
Editorial Board17
Acquiring and modeling abstract commonsense knowledge via conceptualization17
Lifted action models learning from partial traces16
Atlas of AI – Book review16
Is it possible to find the single nearest neighbor of a query in high dimensions?16
Editorial Board16
Unsupervised sentence selection for creating a representative corpus in Turkish: An active learning approach15
Integrating symbolic reasoning into neural generative models for design generation14
Sequential model-based diagnosis by systematic search14
Multi-excitation projective simulation with a many-body physics-inspired inductive bias14
On the disjunctive rational closure of a conditional knowledge base14
Exploratory machine learning with unknown unknowns14
A multi-graph representation for event extraction14
Approximating problems in abstract argumentation with graph convolutional networks13
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function13
Logical separability of labeled data examples under ontologies13
Editorial Board13
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games13
Gradient-based mixed planning with symbolic and numeric action parameters13
Editorial Board12
An abstract and structured account of dialectical argument strength12
Abstracting situation calculus action theories12
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting12
The notion of Abstraction in Ontology-based Data Management12
Environment promoted invariant information learning for graph out-of-distribution generalization12
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search12
Pandora's box problem with time constraints12
Syntactic ASP forgetting with forks12
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness12
Emotional conversation generation with heterogeneous graph neural network11
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning11
Argus: Programming with communication protocols in a belief-desire-intention architecture11
One mind, many tongues: A deep dive into language-agnostic knowledge neurons in large language models11
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability11
Reward-respecting subtasks for model-based reinforcement learning11
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]11
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning11
Editorial Board11
Multi-view graph convolutional networks with attention mechanism11
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach11
Privacy-preserving graph convolution network for federated item recommendation11
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency11
On the design of truthful mechanisms for the capacitated facility location problem with two and more facilities10
Maximum Likelihood Evidential Reasoning10
Reinforcement learning in convergently non-stationary environments: Feudal hierarchies and learned representations10
The influence of dimensions on the complexity of computing decision trees10
Fine-tuning transformers: Vocabulary transfer10
DEED: DEep Evidential Doctor10
Optimizing the computation of overriding in DL<10
Adversarial analysis of similarity-based sign prediction10
On measuring inconsistency in graph databases with regular path constraints10
Editorial Board10
Investigating the properties of neural network representations in reinforcement learning9
Saliency-aware regularized graph neural network9
Taking into account “who said what” in abstract argumentation: Complexity results9
A polynomial reduction of forks into logic programs9
Matching papers and reviewers at large conferences9
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach9
The complexity of optimizing atomic congestion9
Learning a fast 3D spectral approach to object segmentation and tracking over space and time9
(Re)Conceptualizing trustworthy AI: A foundation for change9
Search-engine-augmented dialogue response generation with cheaply supervised query production9
Many-objective problems where crossover is provably essential9
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs9
Truthful aggregation of budget proposals with proportionality guarantees8
Budget-feasible mechanisms for proportionally selecting agents from groups8
Integrating multi-armed bandit with local search for MaxSAT8
Evolving interpretable decision trees for reinforcement learning8
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization8
Natural language watermarking via paraphraser-based lexical substitution8
Improved metric distortion via threshold approvals8
Reward (Mis)design for autonomous driving8
A tetrachotomy of ontology-mediated queries with a covering axiom8
On the computation of mixed strategies for security games with general defending requirements8
Generative models for grid-based and image-based pathfinding8
Adversarially robust unsupervised domain adaptation8
Knowledge-based strategies for multi-agent teams playing against Nature8
Relaxed core stability in hedonic games7
Bisimulation between base argumentation and premise-conclusion argumentation7
AI-driven transcriptome profile-guided hit molecule generation7
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents7
Data-informed knowledge and strategies7
Neural knowledge graph reasoning with relational digraph7
Editorial Board7
Entropy estimation via uniformization7
Editorial Board7
An offline risk-aware policy selection method for Bayesian Markov decision processes7
LAD2025, A constraint-based solver for the subgraph isomorphism problem7
Multi resource allocation with partial preferences7
Privacy preserving solution of DCOPs by mediation7
Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming6
Theoretical insights into CycleGAN: Analyzing approximation and estimation errors in unpaired data generation6
A general framework for preferences in answer set programming6
Class fairness in online matching6
Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning6
Domain-independent dynamic programming6
Editorial Board6
Active legibility in multiagent reinforcement learning6
OBDDs, SDDs, and circuits of bounded width: Completeness matters6
A neurosymbolic cognitive architecture framework for handling novelties in open worlds6
Addressing maximization bias in reinforcement learning with two-sample testing6
Bridging theory and practice in bidirectional heuristic search with front-to-end consistent heuristics6
A differentiable first-order rule learner for inductive logic programming6
Sound and complete causal identification with latent variables given local background knowledge6
Adaptive large-neighbourhood search for optimisation in answer-set programming6
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning6
Are the BERT family zero-shot learners? A study on their potential and limitations6
Local-MIP: Efficient local search for mixed integer programming6
Opinion dynamics with median aggregation6
Neural large neighborhood search for routing problems5
Editorial Board5
Minimax off-policy evaluation and learning with subgaussian and differentiable importance weighting5
A note on incorrect inferences in non-binary qualitative probabilistic networks5
Advanced algorithms for abstract dialectical frameworks based on complexity analysis of subclasses and SAT solving5
Characterising harmful data sources when constructing multi-fidelity surrogate models5
Editorial Board5
DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction5
A crossword solving system based on Monte Carlo tree search5
Editorial Board5
Logic Explained Networks5
Choice logics and their computational properties5
Editorial Board5
Federated neural nonparametric point processes5
Analyzing generalized planning under nondeterminism5
VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction5
Syntactic reasoning with conditional probabilities in deductive argumentation5
Inhomogeneous deep Q-network for time sensitive applications5
Editorial Board5
Lifted inference with tree axioms5
IID prophet inequality with a single data point5
Negotiation strategies for agents with ordinal preferences: Theoretical analysis and human study5
A theory of synaptic neural balance: From local to global order5
Balancing the Spread of Two Opinions in Sparse Social Networks5
Towards well-generalizing meta-learning via adversarial task augmentation5
EMOA*: A framework for search-based multi-objective path planning5
On Pareto optimality in social distance games5
A conflict-directed approach to chance-constrained mixed logical linear programming5
Factored-reward bandits with intermediate observations: Regret minimization and best arm identification4
TEAMSTER: Model-based reinforcement learning for ad hoc teamwork4
Reasoning about causality in games4
ICCMA 2023: 5th International Competition on Computational Models of Argumentation4
Situated conditional reasoning4
Editorial Board4
Q-Learning-based model predictive variable impedance control for physical human-robot collaboration4
Strategyproof Allocation Mechanisms with Endowments and M-convex Distributional Constraints4
Editorial Board4
NT-FAN: A simple yet effective noise-tolerant few-shot adaptation network4
Explainable AI and stakes in medicine: A user study4
Hybrid planning for challenging construction problems: An Answer Set Programming approach4
Pre-training and diagnosing knowledge base completion models4
A domain-independent agent architecture for adaptive operation in evolving open worlds4
Risk-averse policy optimization via risk-neutral policy optimization4
GUBS criterion: Arbitrary trade-offs between cost and probability-to-goal in stochastic planning based on Expected Utility Theory4
Simple and efficient bi-objective search algorithms via fast dominance checks4
Editorial Board4
Learning semi-parametric tree models from mixed data4
AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction4
A stochastic process approach for multi-agent path finding with non-asymptotic performance guarantees4
A simple yet effective self-debiasing framework for transformer models4
Efficient constraint generation for stochastic shortest path problems4
Learngene: Inheritable “genes” in intelligent agents4
Deep optimal transport for domain adaptation on SPD manifolds4
Editorial Board4
Counterfactuals as modal conditionals, and their probability4
A false sense of security4
How to find a good explanation for clustering?4
Strategyproof Mechanism for Two-Sided Matching with Resource Allocation3
Social behavior as a key to learning-based multi-agent pathfinding dilemmas3
Conflict-tolerant and conflict-free multi-agent meeting3
Width-based search for multi agent privacy-preserving planning3
Controlled query evaluation in description logics through consistent query answering3
Approximately EFX allocations for indivisible chores3
Editorial Board3
TTVAE: Transformer-based generative modeling for tabular data generation3
Learning infinite-word automata with loop-index queries3
ASP and subset minimality: Enumeration, cautious reasoning and MUSes3
Probabilistically robust counterfactual explanations under model changes3
Finding the optimal exploration-exploitation trade-off online through Bayesian risk estimation and minimization3
Fair and efficient allocation with few agent types, few item types, or small value levels3
Certifiably robust interpretation via Rényi differential privacy3
Explain it as simple as possible, but no simpler – Explanation via model simplification for addressing inferential gap3
Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events3
Improved maximin guarantees for subadditive and fractionally subadditive fair allocation problem3
Axiomatic characterization of PageRank3
Interpreting capsule networks for image classification by routing path visualization3
Probabilistic reach-avoid for Bayesian neural networks3
Automated streamliner portfolios for constraint satisfaction problems3
PathLAD+: Towards effective exact methods for subgraph isomorphism problem3
Solving Projected Model Counting by Utilizing Treewidth and its Limits3
Task-guided IRL in POMDPs that scales3
Revision operators with compact representations3
Iterative genetic improvement: Scaling stochastic program synthesis3
Editorial Board3
Arc-consistency with linear programming reduced costs (applied to stable set in chordal graphs)3
An anytime algorithm for constrained stochastic shortest path problems with deterministic policies3
Sample-based bounds for coherent risk measures: Applications to policy synthesis and verification3
Explainable acceptance in probabilistic and incomplete abstract argumentation frameworks3
An extended view on lifting Gaussian Bayesian networks3
Editorial Board2
Online learning of energy consumption for navigation of electric vehicles2
The distortion of distributed facility location2
Parameterized complexity of envy-free resource allocation in social networks2
Chimeric U-Net – Modifying the standard U-Net towards explainability2
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