International Joint Conference on Artificial Intelligence 2023: all accepted papers
- Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search (Extended Abstract) ↗Daniel Strawser, Brian Charles Williams
- Multi-Agent Advisor Q-Learning (Extended Abstract) ↗Sriram Ganapathi Subramanian, Matthew Edmund Taylor, Kate S. Larson et al.
- NeoMaPy: A Framework for Computing MAP Inference on Temporal Knowledge Graphs ↗Víctor David, Raphaël Fournier-S’niehotta, Nicolas Travers
- Neural Capacitated Clustering ↗Jonas K. Falkner, Lars Schmidt-Thieme
- On Adaptivity and Safety in Sequential Decision Making ↗Sapana Chaudhary
- On Tackling Explanation Redundancy in Decision Trees (Extended Abstract) ↗Yacine Izza, Alexey Ignatiev, João P. Marques-Silva
- On a Voter Model with Context-Dependent Opinion Adoption ↗Luca Becchetti, Vincenzo Bonifaci A, Emilio Cruciani et al.
- Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract) ↗Virginie Do, Sam Corbett‐Davies, Jamal Atif C et al.
- Optimal Decision Trees For Interpretable Clustering with Constraints ↗Pouya Shati, Eldan Cohen, Sheila A. McIlraith
- Optimizing the Computation of Overriding in DLN (Extended Abstract) ↗Piero A. Bonatti, Iliana Petrova, Luigi Sauro
- Ordinal Maximin Share Approximation for Goods (Extended Abstract) ↗Hadi Hosseini, Andrew Searns, Erel Segal-Halevi
- Predictive Modelling of Human Reasoning Using AGM Belief Revision ↗Clayton Kevin Baker
- Privacy-Preserving End-to-End Spoken Language Understanding ↗Yinggui Wang, Wei Huang, Le Yang
- Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives ↗Lening Li, Hazhar Rahmani, Jie Fu
- Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models ↗Debarun Bhattacharjya, Oktie Hassanzadeh, Ronny Luss et al.
- Proofs and Certificates for Max-SAT (Extended Abstract) ↗Matthieu Py, Mohamed Sami Cherif, Djamal Habet
- Quantifying Consistency and Information Loss for Causal Abstraction Learning ↗Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
- Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers ↗Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu
- Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract) ↗Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck
- Relative Inconsistency Measures for Indefinite Databases with Denial Constraints ↗Francesco Parisi, John Grant
- Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract) ↗Vojtěch Kovařík, Martin S. Schmid, NEIL R. BURCH et al.
- Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities ↗Zhikang Fan, Weiran Shen
- SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract) ↗Radu Ciucanu, Pascal Lafourcade, Gaël Marcadet et al.
- SAT Encodings for Pseudo-Boolean Constraints Together With At-Most-One Constraints (Extended Abstract) ↗Miquel Bofill, Jordi Coll, Peter W. Nightingale et al.
- Scalable Optimal Margin Distribution Machine ↗Yilin Wang, Nan Cao, Teng Zhang et al.
- Scaling Goal-based Exploration via Pruning Proto-goals ↗Akhil Bagaria, Tom Schaul
- Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training ↗Dung Nguyen, Hung Lê, Kien Do et al.
- Solving Quantum-Inspired Perfect Matching Problems via Tutte-Theorem-Based Hybrid Boolean Constraints ↗Moshe Y. Vardi, Zhiwei Zhang
- Sources and Information Reliability Measures ↗Quentin Elsaesser
- Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗ ↗Yao Zhang, Xiuzhen Zhang, Dengji Zhao
- Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting ↗Gaoang Wang, Mingli Song
- Temporal Datalog with Existential Quantification ↗Matthias Lanzinger, Markus Nissl, Emanuel Sallinger et al.
- Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration ↗Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi et al.
- The Economics of Machine Learning ↗Haifeng Xu
- Topological Planning with Post-unique and Unary Actions ↗Guillaume Prévost, Stéphane Cardon, Tristan Cazenave et al.
- Translating Images into Maps (Extended Abstract) ↗Avishkar Saha, Oscar Méndez, Chris Russell et al.
- Treewidth-Aware Complexity for Evaluating Epistemic Logic Programs ↗Jorge Fandinno, Markus Hecher
- Understanding the Night-Sky? Developing AI-Enabled System for Exploring Night-Light Usage Patterns ↗Jakob Hederich, Shreya Ghosh, Zeyu He et al.
- Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract) ↗Zheng Zhang, Liang Zhao
- Unsupervised and Few-Shot Parsing from Pretrained Language Models (Extended Abstract) ↗Zhiyuan Zeng, Deyi Xiong
- Using Liquid Democracy For Attention-Aware Social Choice ↗Shiri Alouf-Heffetz
- VideoMaster: A Multimodal Micro Game Video Recreator ↗Yipeng Yu, Xiao Chen, Hui Zhan
- XFormer: Fast and Accurate Monocular 3D Body Capture ↗Lihui Qian, Xintong Han, Faqiang Wang et al.
- iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning ↗Zuchao Li, Xingyi Guo, Letian Peng et al.
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