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会议文集


文集名AAAI Technical Tracks (Philosophy and Ethics of AI; Planning, Routing, and Scheduling; Reasoning under Uncertainty; Search and Optimization)
会议名39th AAAI Conference on Artificial Intelligence (AAAI-25), 37th Conference on Innovative Applications of Artificial Intelligence (IAAI-25), 15th Symposium on Educational Advances in Artificial Intelligence (EAAI-25)
中译名《第三十九届AAAI人工智能会议，第三十七届人工智能创新应用会议，第十五届人工智能教育进展讨论会，卷25-2》
机构Association for the Advancement of Artificial Intelligence (AAAI)
会议日期25 February - 4 March 2025
会议地点Philadelphia, Pennsylvania, USA
出版年2025
馆藏号358222


题名作者出版年
Learning More Expressive General Policies for Classical Planning DomainsSimon Stahlberg; Blai Bonet; Hector Geffner2025
Inapproximability of Optimal Multi-Agent Pathfinding ProblemsXing Tan; Alban Grastien2025
Temporal Task and Motion Planning with Metric Time for Multiple Object NavigationElisa Tosello; Alessandro Valentini; Andrea Micheli2025
Augmenting Online Algorithms for Knapsack Problem with Total Weight InformationBinghan Wu; Wei Bao; Bing Bing Zhou2025
RATT: A Thought Structure for Coherent and Correct LLM ReasoningJinghan Zhang; Xiting Wang; Weijieying Ren; Lu Jiang; Dongjie Wang; Kunpeng Liu2025
Improved Approximation Algorithms for Clustered TSP and Subgroup PlanningJingyang Zhao; Mingyu Xiao; Junqiang Peng; Ziliang Xiong2025
A Matching-Based Algorithm for the Traveling Tournament ProblemJingyang Zhao; Mingyu Xiao2025
Formal Quality Measures for Predictors in Markov Decision ProcessesChistel Baier; Sascha Kluppelholz; Jakob Piribauer; Robin Ziemek2025
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized ExperimentsTaehun Cha; Donghun Lee2025
Toward Falsifying Causal Graphs Using a Permutation-Based TestElias Eulig; Atalanti A. Mastakouri; Patrick Blobaum; Michaela Hardt; Dominik Janzing2025
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent ConfoundingSimon Ferreira; Charles K. Assaad2025
Mitigating Pervasive Modality Absence Through Multimodal Generalization and RefinementWuliang Huang; Yiqiang Chen; Xinlong Jiang; Chenlong Gao; Teng Zhang; Qian Chen; Yifan Wang2025
Locally Convex Global Loss Network for Decision-Focused LearningHaeun Jeon; Hyunglip Bae; Minsu Park; Chanyeong Kim; Woo Chang Kim2025
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional IndependenciesHyunchai Jeong; Adiba Ejaz; Jin Tian; Elias Bareinboim2025
Mediation Analysis for Probabilities of CausationYuta Kawakami; Jin Tian2025
Flow Factorization for Efficient Generative Flow NetworksJiashun Liu; Chunhui Li; Cheng-Hao Liu; Dianbo Liu; Qingpeng Cai; Ling Pan2025
Counterfactual Identification Under Monotonicity ConstraintsAurghya Maiti; Drago Plecko; Elias Bareinboim2025
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal EffectsHisayoshi Nanmo; Manabu Kuroki2025
Gradient-Based Nonlinear Rehearsal Learning with Multivariate AlterationsTian Qin; Tian-Zuo Wang; Zhi-Hua Zhou2025
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited DataJiaqi Yang; Enming Liang; Zicheng Su; Zhichao Zou; Peng Zhen; Jiecheng Guo; Wanjing Ma; Kun An2025
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