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 2022-05-01 to 2026-05-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors234
Editorial Board118
Primarily about primaries112
Drawing a map of elections111
A computational model of Ostrom's Institutional Analysis and Development framework100
Polynomial combined first-order rewritings for linear and guarded existential rules93
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach69
Editorial Board66
Mitigating robust overfitting via self-residual-calibration regularization65
Iterative voting with partial preferences65
Transfer learning for collaborative recommendation with biased and unbiased data61
Knowledge-driven profile dynamics60
The distortion of distributed metric social choice58
No free lunch theorem for privacy-preserving LLM inference56
An α-regret analysis of adversarial bilateral trade54
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control49
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error48
Epistemic planning: Perspectives on the special issue48
Estimating possible causal effects with latent variables via adjustment and novel rule orientation46
Weighted EF1 allocations for indivisible chores37
Learning MAX-SAT from contextual examples for combinatorial optimisation35
Manipulation and peer mechanisms: A survey34
Defense coordination in security games: Equilibrium analysis and mechanism design34
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes32
Accurate parameter estimation for safety-critical systems with unmodeled dynamics28
Hyper-heuristics for personnel scheduling domains28
Multi-objective reinforcement learning for provably incentivising alignment with value systems27
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems27
Editorial Board26
The complexity landscape of claim-augmented argumentation frameworks26
Editorial Board25
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic 25
Editorial Board24
Editorial Board22
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]22
Learning optimal contracts with small action spaces21
Contra2: A one-step active learning method for imbalanced graphs21
Approximate weighted model integration on DNF structures21
Spectral clustering with robust self-learning constraints21
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction20
Introduction to open-world AI19
Temporal inductive path neural network for temporal knowledge graph reasoning19
Settling the score: Portioning with cardinal preferences19
Certified reinforcement learning with logic guidance19
CBS-Budget (CBSB): A complete and bounded suboptimal search for multi-agent path finding18
From statistical relational to neurosymbolic artificial intelligence: A survey18
Editorial Board17
Editorial Board17
Is it possible to find the single nearest neighbor of a query in high dimensions?16
Atlas of AI – Book review16
Unsupervised sentence selection for creating a representative corpus in Turkish: An active learning approach16
Editorial Board16
A multi-graph representation for event extraction15
Acquiring and modeling abstract commonsense knowledge via conceptualization15
Multi-excitation projective simulation with a many-body physics-inspired inductive bias14
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function14
On the disjunctive rational closure of a conditional knowledge base14
Lifted action models learning from partial traces14
Approximating problems in abstract argumentation with graph convolutional networks14
Sequential model-based diagnosis by systematic search13
Logical separability of labeled data examples under ontologies13
Editorial Board13
Integrating symbolic reasoning into neural generative models for design generation13
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games13
Exploratory machine learning with unknown unknowns13
Gradient-based mixed planning with symbolic and numeric action parameters13
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search12
Syntactic ASP forgetting with forks12
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting12
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness12
Pandora's box problem with time constraints12
Editorial Board12
An abstract and structured account of dialectical argument strength12
The notion of Abstraction in Ontology-based Data Management11
Editorial Board11
Emotional conversation generation with heterogeneous graph neural network11
One mind, many tongues: A deep dive into language-agnostic knowledge neurons in large language models11
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach11
Abstracting situation calculus action theories11
Argus: Programming with communication protocols in a belief-desire-intention architecture11
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning11
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning11
Multi-view graph convolutional networks with attention mechanism11
Reward-respecting subtasks for model-based reinforcement learning11
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]11
Privacy-preserving graph convolution network for federated item recommendation11
From Monotonic Graph Neural Networks to Datalog and Back: Expressive Power and Practical Applications10
On measuring inconsistency in graph databases with regular path constraints10
Optimizing the computation of overriding in DL<10
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability10
Matching papers and reviewers at large conferences10
The influence of dimensions on the complexity of computing decision trees10
On the design of truthful mechanisms for the capacitated facility location problem with two and more facilities10
Editorial Board10
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency10
Adversarial analysis of similarity-based sign prediction10
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach9
Fine-tuning transformers: Vocabulary transfer9
DEED: DEep Evidential Doctor9
Generative models for grid-based and image-based pathfinding9
(Re)Conceptualizing trustworthy AI: A foundation for change9
Reinforcement learning in convergently non-stationary environments: Feudal hierarchies and learned representations9
Many-objective problems where crossover is provably essential9
On the computation of mixed strategies for security games with general defending requirements9
Maximum Likelihood Evidential Reasoning9
Investigating the properties of neural network representations in reinforcement learning9
Reward (Mis)design for autonomous driving9
Natural language watermarking via paraphraser-based lexical substitution8
A polynomial reduction of forks into logic programs8
Learning a fast 3D spectral approach to object segmentation and tracking over space and time8
Truthful aggregation of budget proposals with proportionality guarantees8
Taking into account “who said what” in abstract argumentation: Complexity results8
Integrating multi-armed bandit with local search for MaxSAT8
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization8
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs8
Improved metric distortion via threshold approvals8
Evolving interpretable decision trees for reinforcement learning8
Saliency-aware regularized graph neural network8
The complexity of optimizing atomic congestion8
Budget-feasible mechanisms for proportionally selecting agents from groups8
Adversarially robust unsupervised domain adaptation8
Search-engine-augmented dialogue response generation with cheaply supervised query production8
A tetrachotomy of ontology-mediated queries with a covering axiom8
An offline risk-aware policy selection method for Bayesian Markov decision processes7
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents7
Entropy estimation via uniformization7
Knowledge-based strategies for multi-agent teams playing against Nature7
Privacy preserving solution of DCOPs by mediation7
Editorial Board7
Bisimulation between base argumentation and premise-conclusion argumentation7
Editorial Board7
AI-driven transcriptome profile-guided hit molecule generation7
Multi resource allocation with partial preferences7
LAD2025, A constraint-based solver for the subgraph isomorphism problem7
A general framework for preferences in answer set programming6
A neurosymbolic cognitive architecture framework for handling novelties in open worlds6
Data-informed knowledge and strategies6
Editorial Board6
Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning6
Domain-independent dynamic programming6
Active legibility in multiagent reinforcement learning6
OBDDs, SDDs, and circuits of bounded width: Completeness matters6
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning6
Sound and complete causal identification with latent variables given local background knowledge6
A theory of synaptic neural balance: From local to global order6
Local-MIP: Efficient local search for mixed integer programming6
Are the BERT family zero-shot learners? A study on their potential and limitations6
Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming6
Relaxed core stability in hedonic games6
Adaptive large-neighbourhood search for optimisation in answer-set programming6
A differentiable first-order rule learner for inductive logic programming6
Addressing maximization bias in reinforcement learning with two-sample testing6
Bridging theory and practice in bidirectional heuristic search with front-to-end consistent heuristics6
Class fairness in online matching6
On Pareto optimality in social distance games5
Editorial Board5
Strategyproof Allocation Mechanisms with Endowments and M-convex Distributional Constraints5
Negotiation strategies for agents with ordinal preferences: Theoretical analysis and human study5
Editorial Board5
Editorial Board5
A note on incorrect inferences in non-binary qualitative probabilistic networks5
Towards well-generalizing meta-learning via adversarial task augmentation5
EMOA*: A framework for search-based multi-objective path planning5
Inhomogeneous deep Q-network for time sensitive applications5
Syntactic reasoning with conditional probabilities in deductive argumentation5
Editorial Board5
VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction5
Analyzing generalized planning under nondeterminism5
Neural large neighborhood search for routing problems5
Characterising harmful data sources when constructing multi-fidelity surrogate models5
Choice logics and their computational properties5
A conflict-directed approach to chance-constrained mixed logical linear programming5
Lifted inference with tree axioms5
A crossword solving system based on Monte Carlo tree search5
Logic Explained Networks5
Federated neural nonparametric point processes5
Minimax off-policy evaluation and learning with subgaussian and differentiable importance weighting5
Advanced algorithms for abstract dialectical frameworks based on complexity analysis of subclasses and SAT solving5
IID prophet inequality with a single data point5
Editorial Board5
Approximate Multi-Objective Search5
Editorial Board5
Editorial Board4
Probabilistic reach-avoid for Bayesian neural networks4
Reasoning about causality in games4
Hybrid planning for challenging construction problems: An Answer Set Programming approach4
Learning infinite-word automata with loop-index queries4
Deep optimal transport for domain adaptation on SPD manifolds4
Efficient constraint generation for stochastic shortest path problems4
Editorial Board4
Q-Learning-based model predictive variable impedance control for physical human-robot collaboration4
Learngene: Inheritable “genes” in intelligent agents4
Auction Design with Ex Post ROI Constraints4
Learning semi-parametric tree models from mixed data4
TEAMSTER: Model-based reinforcement learning for ad hoc teamwork4
A stochastic process approach for multi-agent path finding with non-asymptotic performance guarantees4
Editorial Board4
GUBS criterion: Arbitrary trade-offs between cost and probability-to-goal in stochastic planning based on Expected Utility Theory4
DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction4
Risk-averse policy optimization via risk-neutral policy optimization4
NT-FAN: A simple yet effective noise-tolerant few-shot adaptation network4
Pre-training and diagnosing knowledge base completion models4
How to find a good explanation for clustering?4
A false sense of security4
A domain-independent agent architecture for adaptive operation in evolving open worlds4
Situated conditional reasoning4
ICCMA 2023: 5th International Competition on Computational Models of Argumentation4
Simple and efficient bi-objective search algorithms via fast dominance checks4
Counterfactuals as modal conditionals, and their probability4
Explainable AI and stakes in medicine: A user study3
ASP and subset minimality: Enumeration, cautious reasoning and MUSes3
An extended view on lifting Gaussian Bayesian networks3
Solving Projected Model Counting by Utilizing Treewidth and its Limits3
Task-guided IRL in POMDPs that scales3
Iterative genetic improvement: Scaling stochastic program synthesis3
PathLAD+: Towards effective exact methods for subgraph isomorphism problem3
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
AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction3
TTVAE: Transformer-based generative modeling for tabular data generation3
Approximately EFX allocations for indivisible chores3
Explain it as simple as possible, but no simpler – Explanation via model simplification for addressing inferential gap3
Revision operators with compact representations3
Probabilistically robust counterfactual explanations under model changes3
Social behavior as a key to learning-based multi-agent pathfinding dilemmas3
Axiomatic characterization of PageRank3
Conflict-tolerant and conflict-free multi-agent meeting3
Editorial Board3
Improved maximin guarantees for subadditive and fractionally subadditive fair allocation problem3
A simple yet effective self-debiasing framework for transformer models3
Factored-reward bandits with intermediate observations: Regret minimization and best arm identification3
Sample-based bounds for coherent risk measures: Applications to policy synthesis and verification3
Strategyproof Mechanism for Two-Sided Matching with Resource Allocation3
Width-based search for multi agent privacy-preserving planning3
Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events3
Fair and efficient allocation with few agent types, few item types, or small value levels3
Controlled query evaluation in description logics through consistent query answering3
Automated streamliner portfolios for constraint satisfaction problems3
Editorial Board3
Interpreting capsule networks for image classification by routing path visualization3
Explainable acceptance in probabilistic and incomplete abstract argumentation frameworks3
Recursive reasoning-based training-time adversarial machine learning2
Centralized training with hybrid execution in multi-agent reinforcement learning via predictive observation imputation2
Online learning of energy consumption for navigation of electric vehicles2
Editorial Board2
Multi-objective meta-learning2
Parameterized complexity of envy-free resource allocation in social networks2
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees2
Editorial Board2
The distortion of distributed facility location2
0.0818190574646