2025 Spotlight Papers
890 papers found • Page 7 of 18
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
Shuai Liu, Quanmin Liang, Zefeng Li et al.
Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
Tao Wang, Mengyu Li, Geduo Zeng et al.
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
Guibin Zhang, Yanwei Yue, Xiangguo Sun et al.
GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation
Yi Dong, Yuxi Wang, Xianhui Lin et al.
Generalizable Insights for Graph Transformers in Theory and Practice
Timo Stoll, Luis Müller, Christopher Morris
Generalizable Reasoning through Compositional Energy Minimization
Alexandru Oarga, Yilun Du
Generalized Random Forests Using Fixed-Point Trees
David Fleischer, David A Stephens, Archer Yang
Generalized Top-k Mallows Model for Ranked Choices
Shahrzad Haddadan, Sara Ahmadian
Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks
Heasung Kim, Taekyun Lee, Hyeji Kim et al.
Generative Trajectory Stitching through Diffusion Composition
Yunhao Luo, Utkarsh Mishra, Yilun Du et al.
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution
Fengxiang Wang, Mingshuo Chen, Yueying Li et al.
Geometric Hyena Networks for Large-scale Equivariant Learning
Artem Moskalev, Mangal Prakash, Junjie Xu et al.
Geometric Representation Condition Improves Equivariant Molecule Generation
Zian Li, Cai Zhou, Xiyuan Wang et al.
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Ben Schiffer, Mark Sellke
GeoRemover: Removing Objects and Their Causal Visual Artifacts
Zixin Zhu, Haoxiang Li, Xuelu Feng et al.
GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction
Jiahe Li, Jiawei Zhang, Youmin Zhang et al.
GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
Jiachen Lu, Hailan Shanbhag, Haitham Al Hassanieh
GMAIL: Generative Modality Alignment for generated Image Learning
Shentong Mo, Sukmin Yun
G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
Guibin Zhang, Muxin Fu, Kun Wang et al.
Go With the Flow: Fast Diffusion for Gaussian Mixture Models
George Rapakoulias, Ali Reza Pedram, Fengjiao Liu et al.
Gradient Variance Reveals Failure Modes in Flow-Based Generative Models
Teodora Reu, Sixtine Dromigny, Michael Bronstein et al.
Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
Yuheng Zhao, Yu-Hu Yan, Kfir Y. Levy et al.
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim et al.
Graph Adaptive Autoregressive Moving Average Models
Moshe Eliasof, Alessio Gravina, Andrea Ceni et al.
Graph Diffusion for Robust Multi-Agent Coordination
Xianghua Zeng, Hang Su, Zhengyi Wang et al.
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments
Enjun Du, Xunkai Li, Tian Jin et al.
Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry
Masanari Kimura
Great Models Think Alike and this Undermines AI Oversight
Shashwat Goel, Joschka Strüber, Ilze Amanda Auzina et al.
GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis
Kang Yang, Gaofeng Dong, Sijie Ji et al.
Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions
Dionysis Arvanitakis, Vaidehi Srinivas, Aravindan Vijayaraghavan
GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms
Noah Krever, Jakub Cerny, Moise Blanchard et al.
Gymnasium: A Standard Interface for Reinforcement Learning Environments
Mark Towers, Ariel Kwiatkowski, John Balis et al.
Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time
Qiang Fu, Andre Wibisono
HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks
Hongjin Qian, Zheng Liu, Chao Gao et al.
HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs
Ningning Chen, Weicai Ye, Ying Jiang
Head Pursuit: Probing Attention Specialization in Multimodal Transformers
Lorenzo Basile, Valentino Maiorca, Diego Doimo et al.
HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation
Tianwei Lin, Wenqiao Zhang, Sijing Li et al.
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It
Marvin F, da Silva, Felix Dangel, Sageev Oore
Hierarchical Shortest-Path Graph Kernel Network
Jiaxin Wang, Wenxuan Tu, Jieren Cheng
High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
Seongsu Kim, Nayoung Kim, Dongwoo Kim et al.
High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
Xilin Xia, Jie Wang, Wanbo Zhang et al.
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
Yu Zhou, Xingyu Wu, Jibin Wu et al.
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
Gleb Rodionov, Roman Garipov, Alina Shutova et al.
HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios
Kunyu Peng, Junchao Huang, Xiangsheng Huang et al.
Horizon Reduction Makes RL Scalable
Seohong Park, Kevin Frans, Deepinder Mann et al.
How many measurements are enough? Bayesian recovery in inverse problems with general distributions
Ben Adcock, Zi Yuan (Nick) Huang
How Well Can Differential Privacy Be Audited in One Run?
Amit Keinan, Moshe Shenfeld, Katrina Ligett
Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
Ni Zhang, Zhiguang Cao
Hyperbolic Fine-Tuning for Large Language Models
Menglin Yang, Ram Samarth B B, Aosong Feng et al.
HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning
Guancheng Wan, Xiaoran Shang, Yuxin Wu et al.