Papers
11,955 papers found
GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING
Dingyuan Shi, Yongxin Tong, Zimu Zhou et al.
Graph Generation with $K^2$-trees
Yunhui Jang, Dongwoo Kim, Sungsoo Ahn
Graphical Multioutput Gaussian Process with Attention
Yijue Dai, Wenzhong Yan, Feng Yin
Graph Lottery Ticket Automated
Guibin Zhang, Kun Wang, Wei Huang et al.
Graph Metanetworks for Processing Diverse Neural Architectures
Derek Lim, Haggai Maron, Marc T. Law et al.
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
Miltiadis Kofinas, Boris Knyazev, Yan Zhang et al.
Graph Parsing Networks
Yunchong Song, Siyuan Huang, Xinbing Wang et al.
GraphPulse: Topological representations for temporal graph property prediction
Kiarash Shamsi, Farimah Poursafaei, Shenyang Huang et al.
Graph Transformers on EHRs: Better Representation Improves Downstream Performance
Raphael Poulain, Rahmatollah Beheshti
GRiT: A Generative Region-to-text Transformer for Object Understanding
Jialian Wu, Jianfeng Wang, Zhengyuan Yang et al.
GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth
Aurélien Cecille, Stefan Duffner, Franck Davoine et al.
Grokking as a First Order Phase Transition in Two Layer Networks
Noa Rubin, Inbar Seroussi, Zohar Ringel
Grokking as the transition from lazy to rich training dynamics
Tanishq Kumar, Blake Bordelon, Samuel J. Gershman et al.
Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding
Noam Itzhak Levi, Alon Beck, Yohai Bar-Sinai
GROOT: Learning to Follow Instructions by Watching Gameplay Videos
Shaofei Cai, Bowei Zhang, Zihao Wang et al.
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
Hyeonho Jeong, Jong Chul Ye
Grounded Object-Centric Learning
Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro et al.
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations
Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao et al.
Grounding Multimodal Large Language Models to the World
Zhiliang Peng, Wenhui Wang, Li Dong et al.
Group Preference Optimization: Few-Shot Alignment of Large Language Models
Siyan Zhao, John Dang, Aditya Grover
GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views
Yaniv Wolf, Amit Bracha, Ron Kimmel
GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction
Yuxuan Mu, Xinxin Zuo, Chuan Guo et al.
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
Takeru Miyato, Bernhard Jaeger, Max Welling et al.
GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation
Guikun Xu, Yongquan Jiang, PengChuan Lei et al.
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
Renbo Tu, Colin White, Jean Kossaifi et al.