Papers
Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints
Mohammad Reza Rahmani, Mohammad Hossein Yassaee, Mohammad Ali Maddah-Ali et al.
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
Yuwei Fu, Haichao Zhang, Di Wu et al.
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting
Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong et al.
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Jiawei Zhao, Zhenyu Zhang, Beidi Chen et al.
Gambling-Based Confidence Sequences for Bounded Random Vectors
Jongha Jon Ryu, Gregory W. Wornell
Gated Linear Attention Transformers with Hardware-Efficient Training
Songlin Yang, Bailin Wang, Yikang Shen et al.
GATE: How to Keep Out Intrusive Neighbors
Nimrah Mustafa, Rebekka Burkholz
Gaussian Plane-Wave Neural Operator for Electron Density Estimation
Seongsu Kim, Sungsoo Ahn
GaussianPro: 3D Gaussian Splatting with Progressive Propagation
Kai Cheng, Xiaoxiao Long, Kaizhi Yang et al.
Gaussian Processes on Cellular Complexes
Mathieu Alain, So Takao, Brooks Paige et al.
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
Ding Jia, Jianyuan Guo, Kai Han et al.
GenCO: Generating Diverse Designs with Combinatorial Constraints
Aaron M Ferber, Arman Zharmagambetov, Taoan Huang et al.
Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning
Xiangzhe Kong, Wenbing Huang, Yang Liu
Generalization Analysis for Multi-Label Learning
Yifan Zhang, Min-Ling Zhang
Generalization Analysis of Deep Non-linear Matrix Completion
Antoine Ledent, Rodrigo Alves
Generalization Analysis of Stochastic Weight Averaging with General Sampling
Peng Wang, Li Shen, Zerui Tao et al.
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Lijia Yu, Shuang Liu, Yibo Miao et al.
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis
Daniel Csillag, Claudio Jose Struchiner, Guilherme Tegoni Goedert
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation
Benjamin Dupuis, Umut Simsekli
Generalization Error of Graph Neural Networks in the Mean-field Regime
Gholamali Aminian, Yixuan He, Gesine Reinert et al.
Generalization in Kernel Regression Under Realistic Assumptions
Daniel Barzilai, Ohad Shamir
Generalization to New Sequential Decision Making Tasks with In-Context Learning
Sharath Chandra Raparthy, Eric Hambro, Robert Kirk et al.
Generalized Neural Collapse for a Large Number of Classes
Jiachen Jiang, Jinxin Zhou, Peng Wang et al.
Generalized Preference Optimization: A Unified Approach to Offline Alignment
Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng et al.
Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes
Daniil Vankov, Angelia Nedich, Lalitha Sankar