このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。
2025 · NeurIPS
From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language ModelsWeitong Zhang, Chengqi Zang, Bernhard Kainz
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
From Sequence to Structure: Uncovering Substructure Reasoning in TransformersXinnan Dai, Kai Yang, Jay Revolinsky, Kai Guo, Aoran Wang, Bohang Zhang, Jiliang Tang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in TransformersRyotaro Kawata, Yujin Song, Alberto Bietti, Naoki Nishikawa, Taiji Suzuki, Samuel Vaiter, Denny Wu
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising StepsPaul Rosu, Lawrence Carin, Xiang Cheng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face DeepfakesLong Ma, Zhiyuan Yan, Jin Xu, Yize Chen, Qinglang Guo, Zhen Bi, Yong Liao, hui lin
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
From Style to Facts: Mapping the Boundaries of Knowledge Injection with FinetuningEric Zhao, Pranjal Awasthi, Nika Haghtalab
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction CircuitSunny Duan, Ling L. Dong, Ila Fiete
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave samplingMarien Renaud, Valentin De Bortoli, Arthur Leclaire, Nicolas Papadakis
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Fréchet Geodesic BoostingYidong Zhou, Su Iao, Hans-Georg Müller
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily ResolutionQiusheng Huang, Yuan Niu, Xiaohui Zhong, AnboyuGuo, Lei Chen, dianjun zhang, Xuefeng Zhang, Hao Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle AvoidanceXiaochen Shang, Pengwei Luo, Xinning Wang, Jiayue Zhao, Huilin Ge, Bo Dong, Xin Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Fully Dynamic Algorithms for Chamfer DistanceGramoz Goranci, Shaofeng Jiang, Peter Kiss, Eva Szilagyi, Qiaoyuan Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Fully Spiking Neural Networks for Unified Frame-Event Object TrackingJingjun Yang, Liangwei Fan, Jinpu Zhang, Xiangkai Lian, Hui Shen, Dewen Hu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FuncGenFoil: Airfoil Generation and Editing Model in Function SpaceJinouwen Zhang, Junjie Ren, Ma Qianhong, Jianyu Wu, Aobo Yang, Yan Lu, Lu Chen, Hairun Xie, Jing Wang, Miao Zhang, Wanli Ouyang, SHIXIANG TANG
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Functional Complexity-adaptive Temporal Tensor DecompositionPanqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Functional Matching of Logic Subgraphs: Beyond Structural IsomorphismZiyang Zheng, Kezhi Li, Zhengyuan Shi, Qiang Xu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate SchedulesBinghui Li, Fengling Chen, Zixun Huang, Lean Wang, Lei Wu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Functional Virtual Adversarial Training for Semi-Supervised Time Series ClassificationQingyi Pan, Yicheng Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Functional data analysis for multivariate distributions through Wasserstein slicingHan Chen, Hans-Georg Müller
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Fundamental Limitations in Pointwise Defences of LLM Finetuning APIsXander Davies, Eric Winsor, Alexandra Souly, Tomek Korbak, Robert Kirk, Christian Schroeder de Witt, Yarin Gal
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic MatchingJing Zuo, Jiaqi Wang, Yonggang Qi, Yi-Zhe Song
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Fused View-Time Attention and Feedforward Reconstruction for 4D Scene GenerationChaoyang Wang, Ashkan Mirzaei, Vidit Goel, Willi Menapace, Aliaksandr Siarohin, Michael Vasilkovsky, Ivan Skorokhodov, Vladislav Shakhrai, Sergei Korolev, Sergey Tulyakov, Peter Wonka
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Future Link Prediction Without Memory or AggregationLu Yi, Runlin Lei, Fengran Mo, Yanping Zheng, Zhewei Wei, Yuhang Ye
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene EvolutionBozhou Zhang, Nan Song, jingyu li, Xiatian Zhu, Jiankang Deng, Li Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous DrivingShuang Zeng, Xinyuan Chang, Mengwei Xie, Xinran Liu, Yifan Bai, Zheng Pan, Mu Xu, Xing Wei
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under UncertaintyXu Wan, Chao Yang, Cheng Yang, Jie Song, Mingyang Sun
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
G-Memory: Tracing Hierarchical Memory for Multi-Agent SystemsGuibin Zhang, Muxin Fu, Kun Wang, Frank Wan, Miao Yu, Shuicheng Yan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural NetworksAlireza Aghasi, Nicholas F. Marshall, Saeid Pourmand, Wyatt Whiting
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoningjusheng zhang, Yijia Fan, Wenjun Lin, Ruiqi Chen, Haoyi Jiang, Wenhao Chai, Jian Wang, Keze Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNsAmir Ghazizadeh, Rickard Ewetz, Hao Zheng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMsAdvik Basani, Xiao Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction DiscrepancyKailai Li, Jiong Lou, Jiawei Sun, Honghong Zeng, Wen Li, Chentao Wu, Yuan Luo, Wei Zhao, shouguo du, Jie LI
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and ImagesXiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GFM-RAG: Graph Foundation Model for Retrieval Augmented GenerationLinhao Luo, Zicheng Zhao, Reza Haffari, Dinh Phung, Chen Gong, Shirui Pan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular UtilityMatthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam, Sara Ahmadian, Gui Citovsky, Giulia DeSalvo
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence DesignHanqun Cao, Haosen Shi, Chenyu Wang, Sinno Jialin Pan, Pheng-Ann Heng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GLNCD: Graph-Level Novel Category DiscoveryBowen Deng, Lele Fu, Sheng Huang, Tianchi Liao, Jialong Chen, Zhang Tao, Chuan Chen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GLSim: Detecting Object Hallucinations in LVLMs via Global-Local SimilaritySeongheon Park, Sharon Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GLVD: Guided Learned Vertex DescentPol Caselles RIco, Francesc Moreno-Noguer
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GMM-based VAE model with Normalising Flow for effective stochastic segmentationConghui Li, Chern Hong Lim, Xin Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GMV: A Unified and Efficient Graph Multi-View Learning FrameworkQipeng zhu, Jie Chen, Jian Pu, Junping Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GOATex: Geometry & Occlusion-Aware TexturingHyunjin Kim, Kunho Kim, Adam Lee, Wonkwang Lee
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution DetectionXin Gao, Jiyao Liu, Guanghao Li, Yueming Lyu, Jianxiong Gao, Weichen Yu, Ningsheng Xu, Liang Wang, Caifeng Shan, Ziwei Liu, Chenyang Si
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation ScalingTianhao Chen, Xin Xu, Zijing Liu, Pengxiang Li, Xinyuan Song, AJAY JAISWAL, Fan Zhang, Jishan Hu, Yang Wang, Hao CHEN, Shizhe Diao, Shiwei Liu, Yu Li, Lu Yin, Can Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GPLQ: A General, Practical, and Lightning QAT Method for Vision TransformersGuang Liang, Xinyao Liu, Jianxin Wu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GPO: Learning from Critical Steps to Improve LLM ReasoningJiahao Yu, Zelei Cheng, Xian Wu, Xinyu Xing
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and GenerationZhengqiang ZHANG, Rongyuan Wu, Lingchen Sun, Lei Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive PretrainingSimin Fan, Maria Ios Glarou, Martin Jaggi
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuningHaonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S Yu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning ChainsChun Wang, Xiaojun Ye, Xiaoran Pan, Zihao Pan, Haofan Wang, Yiren Song
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GRIFFIN: Effective Token Alignment for Faster Speculative DecodingShijing Hu, Jingyang Li, Xingyu Xie, Zhihui Lu, Kim-chuan Toh, Pan Zhou
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GRIP: A Graph-Based Reasoning Instruction ProducerJiankang Wang, Jianjun Xu, Xiaorui Wang, Yuxin Wang, Mengting Xing, Shancheng Fang, Hongtao Xie
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GRIT: Teaching MLLMs to Think with ImagesYue Fan, Xuehai He, Diji Yang, Kaizhi Zheng, Ching-Chen Kuo, Yuting Zheng, Xinze Guan, Xin Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GSAlign: Geometric and Semantic Alignment Network for Aerial-Ground Person Re-IdentificationQiao Li, Jie Li, Yukang Zhang, Lei Tan, Jing Chen, Jiayi Ji
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GSPN-2: Efficient Parallel Sequence ModelingHongjun Wang, yitong jiang, Collin McCarthy, David Wehr, Hanrong Ye, Xinhao Li, Ka Chun Cheung, Wonmin Byeon, Jinwei Gu, Ke Chen, Kai Han, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Sifei Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data SynthesisKang Yang, Gaofeng Dong, Sijie Ji, Wan Du, Mani Srivastava
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying ConfoundingMiruna Oprescu, David Park, Xihaier Luo, Shinjae Yoo, Nathan Kallus
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR LocalizationShangshu Yu, Wen Li, Xiaotian Sun, Zhimin Yuan, Xin Wang, Sijie Wang, Rui She, Cheng Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph ModelingJialong Zhou, Lichao Wang, Xiao Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement LearningHaolong Yan, Yeqing Shen, Xin Huang, Jia Wang, Kaijun Tan, Zhixuan Liang, Hongxin Li, Zheng Ge, Osamu Yoshie, Si Li, Xiangyu Zhang, Daxin Jiang
Machine Learning
日本大学: 早稲田大学
2025 · NeurIPS
GUI-Actor: Coordinate-Free Visual Grounding for GUI AgentsQianhui Wu, Kanzhi Cheng, Rui Yang, Chaoyun Zhang, Jianwei Yang, Huiqiang Jiang, Jian Mu, Baolin Peng, Bo Qiao, Reuben Tan, Si Qin, Lars Liden, Qingwei Lin, Huan Zhang, Tong Zhang, Jianbing Zhang, Dongmei Zhang, Jianfeng Gao
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI AgentsYuqi Zhou, Sunhao Dai, Shuai Wang, Kaiwen Zhou, Qinglin Jia, Jun Xu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection BehaviorPenghao Wu, Shengnan Ma, Bo Wang, Jiaheng Yu, Lewei Lu, Ziwei Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GUI-Rise: Structured Reasoning and History Summarization for GUI NavigationTao Liu, Chongyu Wang, Rongjie Li, Yingchen Yu, Xuming He, Song Bai
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object DetectionJiaming Li, Zhijia Liang, Weikai Chen, Lin Ma, Guanbin Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GVPO: Group Variance Policy Optimization for Large Language Model Post-TrainingKaichen Zhang, Yuzhong Hong, Junwei Bao, Hongfei Jiang, Yang Song, Hong Dingqian, Hui Xiong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank AdaptationSohyun Lee, Yeho Gwon, Lukas Hoyer, Suha Kwak
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gains: Fine-grained Federated Domain Adaptation in Open SetZhengyi Zhong, Wenzheng Jiang, Weidong Bao, Ji Wang, Qi Wang, Guanbo Wang, Yongheng Deng, Ju Ren
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gate to the Vessel: Residual Experts Restore What SAM OverlooksWeili Jiang, Jinrong Lv, Xun Gong, Xiaomeng Li, Chubin Ou
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-FreeZihan Qiu, Zekun Wang, Bo Zheng, Zeyu Huang, Kaiyue Wen, Songlin Yang, Rui Men, Le Yu, Fei Huang, Suozhi Huang, Dayiheng Liu, Jingren Zhou, Junyang Lin
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language ModelsYan-Shuo Liang, Jia-Rui Chen, Wu-Jun Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gatekeeper: Improving Model Cascades Through Confidence TuningStephan Rabanser, Nathalie Rauschmayr, Achin Kulshrestha, Petra Poklukar, Wittawat Jitkrittum, Sean Augenstein, Congchao Wang, Federico Tombari
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GauDP: Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion PoliciesZiye Wang, Li Kang, Yiran Qin, Jiahua Ma, zhanglin peng, LEI BAI, Ruimao Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GauSAM: Contour‑Guided 2D Gaussian Fields for Multi‑Scale Medical Image Segmentation with Segment AnythingJinxuan Wu, Jiange Wang, Dongdong Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient DescentZiyang Wei, Jiaqi Li, Zhipeng Lou, Wei Biao Wu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGSTao Wang, Mengyu Li, Geduo Zeng, Cheng Meng, Qiong Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process BanditsShogo Iwazaki
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gaussian Processes for Shuffled RegressionMasahiro Kohjima
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold RegularizationZhenhao Zhong, Zhibin Gu, Pengpeng Yang, Yaqian zhou, Ruiqiang Guo
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gaussian-Augmented Physics Simulation and System Identification with Complex CollidersFederico Vasile, Ri-Zhao Qiu, Lorenzo Natale, Xiaolong Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous DrivingShuai Liu, Quanmin Liang, Zefeng Li, Boyang Li, Kai Huang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gaze Beyond the Frame: Forecasting Egocentric 3D Visual SpanHeeseung Yun, Joonil Na, Jaeyeon Kim, Calvin Murdock, Gunhee Kim
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric UnderstandingAnupam Pani, Yanchao Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS FusionJiayi Tian, Haiduo Huang, Tian Xia, Wenzhe zhao, Pengju Ren
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GeRaF: Neural Geometry Reconstruction from Radio Frequency SignalsJiachen Lu, Hailan Shanbhag, Haitham Al Hassanieh
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gemstones: A Model Suite for Multi-Faceted Scaling LawsSean McLeish, John Kirchenbauer, David J. Miller, Siddharth Singh, Abhinav Bhatele, Micah Goldblum, Ashwinee Panda, Tom Goldstein
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture PreservationYi Dong, Yuxi Wang, Xianhui Lin, Wenqi Ouyang, Zhiqi Shen, Peiran Ren, Ruoxi Fan, Rynson Lau
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GenIR: Generative Visual Feedback for Mental Image RetrievalDiji Yang, Minghao Liu, Chung-Hsiang Lo, Yi Zhang, James Davis
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GenPO: Generative Diffusion Models Meet On-Policy Reinforcement LearningShutong Ding, Ke Hu, Shan Zhong, Haoyang Luo, Weinan Zhang, Jingya Wang, Jun Wang, Ye Shi
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent ConfoundersGongxu Luo, Haoyue Dai, Longkang Li, Chengqian Gao, Boyang Sun, Kun Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified FlowMengbo Wang, Shourya Verma, Aditya Malusare, Luopin Wang, Yiyang Lu, Vaneet Aggarwal, Mario Sola, Ananth Grama, Nadia Lanman
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human DataWentao Wang, Hang Ye, Fangzhou Hong, Xue Yang, Jianfu Zhang, Yizhou Wang, Ziwei Liu, Liang Pan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
General-Reasoner: Advancing LLM Reasoning Across All DomainsXueguang Ma, Qian Liu, Dongfu Jiang, Ge Zhang, Zejun MA, Wenhu Chen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Generalizable Domain Adaptation for Sim-and-Real Policy Co-TrainingShuo Cheng, Liqian Ma, Zhenyang Chen, Ajay Mandlekar, Caelan Garrett, Danfei Xu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Generalizable Hand-Object Modeling from Monocular RGB Images via 3D GaussiansXingyu Liu, Pengfei Ren, Qi Qi, Haifeng Sun, Zirui Zhuang, Jing Wang, Jianxin Liao, Jingyu Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Generalizable Insights for Graph Transformers in Theory and PracticeTimo Stoll, Luis Müller, Christopher Morris
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Generalizable Reasoning through Compositional Energy MinimizationAlexandru Oarga, Yilun Du
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Generalizable, real-time neural decoding with hybrid state-space modelsAvery Hee-Woon Ryoo, Nanda H Krishna, Ximeng Mao, Mehdi Azabou, Eva L Dyer, Matthew G Perich, Guillaume Lajoie
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent KernelYilan Chen, Zhichao Wang, Wei Huang, Andi Han, Taiji Suzuki, Arya Mazumdar
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz ComplexityPengqi Li, Lizhong Ding, Jiarun Fu, Chunhui Zhang, Guoren Wang, Ye Yuan
Machine Learning
日本大学: 関与なし(対象大学)