Papers
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees
Ruikun Zhou, Thanin Quartz, Hans De Sterck et al.
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence
Sunghwan Hong, Jisu Nam, Seokju Cho et al.
Neural Network Architecture Beyond Width and Depth
Shijun Zhang, Zuowei Shen, Haizhao Yang
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse, Thomas Rood, Yoram Bachrach et al.
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
Nikolaos Karalias, Joshua W. Robinson, Andreas Loukas et al.
Neural Shape Deformation Priors
Jiapeng Tang, Lev Markhasin, Bi Wang et al.
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar, Francesco Di Giovanni, Benjamin Chamberlain et al.
Neural Stochastic Control
Jingdong Zhang, Qunxi Zhu, Wei LIN
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics
Cristopher Salvi, Maud Lemercier, Andris Gerasimovics
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
Hongrui Cai, Wanquan Feng, Xuetao Feng et al.
Neural-Symbolic Entangled Framework for Complex Query Answering
Zezhong Xu, Wen Zhang, Peng Ye et al.
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs
Ming Jin, Yuan-Fang Li, Shirui Pan
Neural Topological Ordering for Computation Graphs
Mukul Gagrani, Corrado Rainone, Yang Yang et al.
Neural Transmitted Radiance Fields
Chengxuan Zhu, Renjie Wan, Boxin Shi
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
Jiaqi Gu, Zhengqi Gao, Chenghao Feng et al.
Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao et al.
NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis
Jun Zeng, Mingyang Kou, Hailong Yao
Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints
Halley Young, Maxwell Du, Osbert Bastani
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound
Arushi Gupta, Nikunj Saunshi, Dingli Yu et al.
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
Gautam Kamath, Argyris Mouzakis, Vikrant Singhal
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang et al.
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
Qitian Wu, Wentao Zhao, Zenan Li et al.
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
Rylan Schaeffer, Mikail Khona, Ila Fiete
Noise Attention Learning: Enhancing Noise Robustness by Gradient Scaling
Yangdi Lu, Yang Bo, Wenbo He
NOMAD: Nonlinear Manifold Decoders for Operator Learning
Jacob Seidman, Georgios Kissas, Paris Perdikaris et al.