Papers
660 papers found
Random Tensor Theory for Tensor Decomposition
Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau
Split Moves for Monte-Carlo Tree Search
Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik et al.
FairFoody: Bringing In Fairness in Food Delivery
Anjali Gupta, Rahul Yadav, Ashish Nair et al.
RankDNN: Learning to Rank for Few-Shot Learning
Qianyu Guo, Gong Haotong, Xujun Wei et al.
Local Path Integration for Attribution
Peiyu Yang, Naveed Akhtar, Zeyi Wen et al.
Learning Pessimism for Reinforcement Learning
Edoardo Cetin, Oya Celiktutan
Planning for Learning Object Properties
Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia et al.
Counterfactuals for the Future
Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich
Foundation Model for Material Science
Seiji Takeda, Akihiro Kishimoto, Lisa Hamada et al.
Food Information Engineering: A Systematic Literature Review
Azanzi Jiomekong
Better Environments for Better AI
Sarah Keren
Dense Projection for Anomaly Detection
Dazhi Fu, Zhao Zhang, Jicong Fan
Submodel Enumeration for CTL Is Hard
Nicolas Fröhlich, Arne Meier
Is a Large Language Model a Good Annotator for Event Extraction?
Ruirui Chen, Chengwei Qin, Weifeng Jiang et al.
Generative Model for Decision Trees
Riccardo Guidotti, Anna Monreale, Mattia Setzu et al.
GenAL: Generative Agent for Adaptive Learning
Rui Lv, Qi Liu, Weibo Gao et al.
Diffusion Models for Attribution
Xiongren Chen, Jiuyong Li, Jixue Liu et al.
EF2X Exists for Four Agents
Arash Ashuri, Vasilis Gkatzelis, Alkmini Sgouritsa
Dimension Reduction for Symbolic Regression
Paul Kahlmeyer, Markus Fischer, Joachim Giesen
p-Mean Regret for Stochastic Bandits
Anand Krishna, Philips George John, Adarsh Barik et al.
Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense
Zhenbo Shi, Xiaoman Liu, Yuxuan Zhang et al.
Incentives for Early Arrival
Dengji Zhao
Diffusion Models for Robotics
Jessica E. Liang
Agentic AI for Digital Twin
Alexander Timms, Abigail Langbridge, Antonis Antonopoulos et al.