Papers
LUCID: Learning-Enabled Uncertainty-Aware Certification of Stochastic Dynamical Systems
Ernesto Casablanca, Oliver Schön, Paolo Zuliani et al.
LUDO: Low-Latency Understanding of Deformable Objects Using Point Cloud Occupancy Functions (Abstract Reprint)
Pit Henrich, Franziska Mathis-Ullrich, Paul Maria Scheikl
LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence
Chunyao Lu, Tianyu Zhang, Xinglong Liang et al.
LungNoduleAgent: A Collaborative Multi-Agent System for Precision Diagnosis of Lung Nodules
Cheng Yang, Hui Jin, Xinlei Yu et al.
LWGANet: Addressing Spatial and Channel Redundancy in Remote Sensing Visual Tasks with Light-Weight Grouped Attention
Wei Lu, Xue Yang, Si-Bao Chen
M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting
Yaohui Huang, Runmin Zou, Yun Wang et al.
M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference
Chuxiong Sun, Peng He, Qirui Ji et al.
M²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
Chuan He, Yongchao Liu, Qiang Li et al.
M3ashy: Multi-Modal Material Synthesis via Hyperdiffusion
Chenliang Zhou, Zheyuan Hu, Alejandro Sztrajman et al.
M3SR: Multi-Scale Multi-Perceptual Mamba for Efficient Spectral Reconstruction
Yuze Zhang, Lingjie Li, Qiuzhen Lin et al.
M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting
Shuning Jia, Baijun Song, Canming Ye et al.
M3UCD: A Multi-task Multimodal Metaphor Understanding Challenge Dataset for LLMs
Tianlong Zheng, Yating Yang, Rui Dong et al.
Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
Ando Shah, Rajveer Singh, Akram Zaytar et al.
Machine Learning Models Assisting the Development of Antibody Therapeutics and Vaccines – an Emerging Trend
Felipe Leno da Silva, Mikel Landajuela, Edwin A. Saada et al.
Machine Pareidolia: Protecting Facial Image with Emotional Editing
Binh M. Le, Simon S. Woo
MACoT: Synthesizing Chains of Thought for Small Models via Multi-Agent Collaboration
Guokai Tang, Feng Zhao
MacPrompt: Maraconic-Guided Jailbreak Against Text-to-Image Models
Xi Ye, Yiwen Liu, Lina Wang et al.
MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation
Junping Liu, Mingchao Yu, Xinrong Hu et al.
MACS: Multi-source Audio-to-image Generation with Contextual Significance and Semantic Alignment
Hao Zhou, Xiaobao Guo, Yuzhe Zhu et al.
MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering
Zhifei Li, Yiran Wang, Chenyi Xiong et al.
MAFA: A Multi-Agent Framework for Enterprise-Scale Annotation with Configurable Task Adaptation
Mahmood Hegazy, Aaron Rodrigues, Azzam Naeem
MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents
Yun Xing, Nhat Chung, Jie Zhang et al.
MAGIC: Multi-Agent Argumentation and Grammar Integrated Critiquer
Joaquín Jordán, Xavier Yin, Melissa Fabros et al.
MagicPaint: Operate Anything for Image Inpainting with Diffusion Model
Qinhong Yang, Dongdong Chen, Qi Chu et al.
MAGIC VFM-Meta-Learning Adaptation for Ground Interaction Control with Visual Foundation Models (Abstract Reprint)
Elena-Sorina Lupu, Fengze Xie, James Preiss et al.