Papers
ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model
Qixin Wang, Chaoqiong Fan, Tianyuan Jia et al.
Nearly Equitable Allocations beyond Additivity and Monotonicity
Siddharth Barman, Umang Bhaskar, Yeshwant Pandit et al.
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers
Yuhao Yi, Ronghui You, Hong Liu et al.
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
Sihwa Park, Seongjun Kim, Doeyoung Kwon et al.
Negative Pre-aware for Noisy Cross-Modal Matching
Xu Zhang, Hao Li, Mang Ye
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution
Yexing Song, Meilin Wang, Zhijing Yang et al.
Neighborhood-Enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-Range Outdoor Scenes
Jingyi Zhang, Qihong Mao, Guosheng Hu et al.
NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack
Wenxiang Jiang, Hanwei Zhang, Xi Wang et al.
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
Junge Zhang, Feihu Zhang, Shaochen Kuang et al.
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
Linsheng Chen, Guangrun Wang, Liuchun Yuan et al.
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
Bo Xiong, Mojtaba Nayyeri, Linhao Luo et al.
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
Abbavaram Gowtham Reddy, Vineeth N Balasubramanian
NeSyFOLD: A Framework for Interpretable Image Classification
Parth Padalkar, Huaduo Wang, Gopal Gupta
Neural Amortized Inference for Nested Multi-Agent Reasoning
Kunal Jha, Tuan Anh Le, Chuanyang Jin et al.
Neural Bookmarks: Information Retrieval with Deep Learning and EEG Data
Glenn Bruns, Michael Haidar
Neural Causal Abstractions
Kevin Xia, Elias Bareinboim
Neural Closure Certificates
Alireza Nadali, Vishnu Murali, Ashutosh Trivedi et al.
Neural Embeddings for kNN Search in Biological Sequence
Zhihao Chang, Linzhu Yu, Yanchao Xu et al.
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
Xiaolong Fan, Maoguo Gong, Yue Wu et al.
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
Di Wu, Yuling Jiao, Li Shen et al.
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
Neural Oscillators for Generalization of Physics-Informed Machine Learning
Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky et al.
Neural Physical Simulation with Multi-Resolution Hash Grid Encoding
Haoxiang Wang, Tao Yu, Tianwei Yang et al.
Neural Reasoning about Agents’ Goals, Preferences, and Actions
Matteo Bortoletto, Lei Shi, Andreas Bulling
Neural Time-Reversed Generalized Riccati Equation
Alessandro Betti, Michele Casoni, Marco Gori et al.