Papers
11,015 papers found
Neural Fluid Simulation on Geometric Surfaces
Haoxiang Wang, Tao Yu, Hui Qiao et al.
Neural Functions for Learning Periodic Signal
Woojin Cho, Minju Jo, Kookjin Lee et al.
Neural Interactive Proofs
Lewis Hammond, Sam Adam-Day
Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction
Zilin Fang, David Hsu, Gim Hee Lee
Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
Jinbiao Chen, Jiahai Wang, Zhiguang Cao et al.
Neural networks on Symmetric Spaces of Noncompact Type
Xuan Son Nguyen, Shuo Yang, Aymeric Histace
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
Anh Tong, Thanh Nguyen-Tang, Dongeun Lee et al.
Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks
Runpeng Yu, Xinchao Wang
NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields
Hanqiao Ye, Yuzhou Liu, Yangdong Liu et al.
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
Jannis Chemseddine, Christian Wald, Richard Duong et al.
Neural Spacetimes for DAG Representation Learning
Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, Marc T. Law et al.
Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL
Cevahir Koprulu, Franck Djeumou, ufuk topcu
Neural Wave Equation for Irregularly Sampled Sequence Data
Arkaprava Majumdar, M Anand Krishna, P. K. Srijith
NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions
Tue Minh Cao, Nhat Hoang-Xuan, Hieu Pham et al.
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
Weibang Jiang, Yansen Wang, Bao-liang Lu et al.
Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models
Xiongye Xiao, Heng Ping, Chenyu Zhou et al.
Neuron based Personality Trait Induction in Large Language Models
Jia Deng, Tianyi Tang, Yanbin Yin et al.
Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning
Wei Wu, Can Liao, zizhen Deng et al.
Neuroplastic Expansion in Deep Reinforcement Learning
Jiashun Liu, Johan Samir Obando Ceron, Aaron Courville et al.
New Algorithms for the Learning-Augmented k-means Problem
Junyu Huang, Qilong Feng, Ziyun Huang et al.
Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
Elad Romanov, Fangzhao Zhang, Mert Pilanci
NextBestPath: Efficient 3D Mapping of Unseen Environments
Shiyao Li, Antoine Guedon, Clémentin Boittiaux et al.
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
Zhiyuan Liu, Yanchen Luo, Han Huang et al.
NExUME: Adaptive Training and Inference for DNNs under Intermittent Power Environments
Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson et al.
N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning
Liping Wang, Xujia Li, Jingshu Peng et al.