Papers
8,127 papers found
PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems
Han Wan, Rui Zhang, Qi Wang et al.
Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders
Hui Liu, Shiye Tian, Xuejun Liu
Physical Adversarial Camouflage Through Gradient Calibration and Regularization
Jiawei Liang, Siyuan Liang, Jianjie Huang et al.
Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction
Jiaqi Zheng, Qing Ling, Yerong Feng
Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis
Satyavrat Wagle, Akshay Malhotra, Shahab Hamidi-Rad et al.
Picturized and Recited with Dialects: A Multimodal Chinese Representation Framework for Sentiment Analysis of Classical Chinese Poetry
Xiaocong Du, Haoyu Pei, Haipeng Zhang
Pixel-wise Divide and Conquer for Federated Vessel Segmentation
Tian Chen, Wenke Huang, Zhihao Wang et al.
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning
Weiran Guo, Guanjun Liu, Ziyuan Zhou et al.
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
Yaohua Zha, Tao Dai, Hang Guo et al.
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers
Binxiao Huang, Ngai Wong
POLO: An LLM-Powered Project-Level Code Performance Optimization Framework
Jiameng Bai, Ruoyi Xu, Sai Wu et al.
Polynomial-Time Relational Probabilistic Inference in Open Universes
Luise Ge, Brendan Juba, Kris Nilsson
POMP: Pathology-omics Multimodal Pre-training Framework for Cancer Survival Prediction
Suixue Wang, Shilin Zhang, Huiyuan Lai et al.
Precarity and Solidarity: Preliminary Results on a Study of Queer and Disabled Fiction Writers’ Experiences with Generative AI
Carolyn Lamb, Daniel G. Brown, Maura R. Grossman
Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment
Wenbo Xu, Li Zhang, Liu Liu et al.
Predicting Spectral Information for Self-Supervised Signal Classification
Yi Xu, Shuang Wang, Hantong Xing et al.
Preference-based Deep Reinforcement Learning for Historical Route Estimation
Boshen Pan, Yaoxin Wu, Zhiguang Cao et al.
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation
Marianne Defresne, Jayanta Mandi, Tias Guns
Preference Identification by Interaction Overlap for Bundle Recommendation
Fei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing et al.
Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning
Minghao Li, Rui Wang, Ming Sun et al.
Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency
Fan Li, Tiancheng Zhang, Yifang Yin et al.
Privacy Preserving Solution of DCOPs by Local Search
Shmuel Goldklang, Tal Grinshpoun, Tamir Tassa
Proactive Data-driven Scheduling of Business Processes
Francesca Meneghello, Arik Senderovich, Massimiliano Ronzani et al.
Probabilistic Analysis of Stable Matching in Large Markets with Siblings
Zhaohong Sun, Tomohiko Yokoyama, Makoto Yokoo
Probabilistic Multimodal Learning with von Mises-Fisher Distributions
Peng Hu, Yang Qin, Yuanbiao Gou et al.