All Papers
34,598 papers found • Page 596 of 692
Conference
Neural Optimal Transport with General Cost Functionals
Arip Asadulaev, Alexander Korotin, Vage Egiazarian et al.
Neural Ordinary Differential Equations for Modeling Epidemic Spreading
Michalis Vazirgiannis, Chrysoula Kosma, George Panagopoulos et al.
Neural Oscillators for Generalization of Physics-Informed Machine Learning
Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky et al.
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
Devikalyan Das, Christopher Wewer, Raza Yunus et al.
Neural Physical Simulation with Multi-Resolution Hash Grid Encoding
Haoxiang Wang, Tao Yu, Tianwei Yang et al.
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
Philipp Schröppel, Christopher Wewer, Jan Lenssen et al.
Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending
Delong Wu, Hao Zhu, Qi Zhang et al.
Neural Polynomial Gabor Fields for Macro Motion Analysis
Chen Geng, Koven Yu, Sida Peng et al.
Neural Processing of Tri-Plane Hybrid Neural Fields
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini et al.
Neural Rate Control for Learned Video Compression
yiwei zhang, Guo Lu, Yunuo Chen et al.
Neural Reasoning about Agents’ Goals, Preferences, and Actions
Matteo Bortoletto, Lei Shi, Andreas Bulling
Neural Redshift: Random Networks are not Random Functions
Damien Teney, Armand Nicolicioiu, Valentin Hartmann et al.
Neural Refinement for Absolute Pose Regression with Feature Synthesis
Shuai Chen, Yash Bhalgat, Xinghui Li et al.
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes
wei mao, Richard Hartley, Mathieu Salzmann et al.
Neural Sign Actors: A Diffusion Model for 3D Sign Language Production from Text
Vasileios Baltatzis, Rolandos Alexandros Potamias, Evangelos Ververas et al.
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Haitz Sáez de Ocáriz Borde, Anastasis Kratsios
Neural Spectral Decomposition for Dataset Distillation
Yang Shaolei, Shen Cheng, Mingbo Hong et al.
Neural Spectral Methods: Self-supervised learning in the spectral domain
Yiheng Du, Nithin Chalapathi, Aditi Krishnapriyan
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
Artur Toshev, Jonas Erbesdobler, Nikolaus Adams et al.
Neural Spline Fields for Burst Image Fusion and Layer Separation
Ilya Chugunov, David Shustin, Ruyu Yan et al.
Neural structure learning with stochastic differential equations
Benjie Wang, Joel Jennings, Wenbo Gong
Neural Super-Resolution for Real-time Rendering with Radiance Demodulation
Jia Li, Ziling Chen, Xiaolong Wu et al.
Neural Surface Detection for Unsigned Distance Fields
Federico Stella, Nicolas Talabot, Hieu Le et al.
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li, Yixin Zhu, Yitao Liang et al.
Neural Tangent Kernels for Axis-Aligned Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama
Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks
Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro
Neural Time
Reversed Generalized Riccati Equation
Neural Underwater Scene Representation
Yunkai Tang, Chengxuan Zhu, Renjie Wan et al.
Neural Video Compression with Feature Modulation
Jiahao Li, Bin Li, Yan Lu
Neural Visibility Field for Uncertainty-Driven Active Mapping
Shangjie Xue, Jesse Dill, Pranay Mathur et al.
Neural Volumetric World Models for Autonomous Driving
Zanming Huang, Jimuyang Zhang, Eshed Ohn-Bar
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks
Wenxi Wang, Yang Hu, Mohit Tiwari et al.
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
Hyuna Cho, Jaeyoon Sim, Guorong Wu et al.
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Tom Fischer, Pascal Peter, Joachim Weickert et al.
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
Antonis Antoniades, Yiyi Yu, Joe Canzano et al.
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta et al.
Neuromorphic Event Signal-Driven Network for Video De-raining
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
Yibing Liu, Chris Xing TIAN, Haoliang Li et al.
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
William Ljungbergh, Adam Tonderski, Joakim Johnander et al.
Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
Jicong Fan, Rui Chen, Zhao Zhang et al.
NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation
Jingyang Huo, Yikai Wang, Yanwei Fu et al.
Neurosymbolic Grounding for Compositional World Models
Atharva Sehgal, Arya Grayeli, Jennifer Sun et al.
Neuro-Symbolic Temporal Point Processes
Yang Yang, Chao Yang, Boyang Li et al.
Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
Mohannad Elhamod, Anuj Karpatne
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
Gen Li, Lu Yin, Jie Ji et al.
NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation
Ruikai Cui, Weizhe Liu, Weixuan Sun et al.
NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
Han Huang, Yulun Wu, Junsheng Zhou et al.
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
Ido Amos, Jonathan Berant, Ankit Gupta
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
Jorg Bornschein, Alexandre Galashov, Ross Hemsley et al.
New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering
Sanjoy Dasgupta, Eduardo Laber