图像生成 - arXivDaily 专题

2407.00611 2025-09-30 cs.DC 50%

StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training

Ziming Liu, Shaoyu Wang, Shenggan Cheng, Zhongkai Zhao, Kai Wang, Xuanlei Zhao, James Demmel, Yang You

专题命中效率与蒸馏：diffusion(abstract)

2507.18578 2025-09-29 cs.CL 50%

Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs

Feng Hong, Geng Yu, Yushi Ye, Haicheng Huang, Huangjie Zheng, Ya Zhang, Yanfeng Wang, Jiangchao Yao

机构 * Cooperative Medianet Innovation Center, Shanghai Jiao Tong University（上海交通大学合作中位网创新中心）； Apple（苹果公司）； School of Artificial Intelligence, Shanghai Jiao Tong University（上海交通大学人工智能学院）

专题命中效率与蒸馏：diffusion(abstract)

2509.20744 2025-09-26 cs.AI 50%

Parallel Thinking, Sequential Answering: Bridging NAR and AR for Efficient Reasoning

Qihang Ai, Haiyun Jiang

机构 * Nanyang Technological University（南洋理工大学）； Shanghai Jiao Tong University（上海交通大学）

专题命中效率与蒸馏：diffusion(abstract)

Comments 4 pages

2509.19816 2025-09-25 cs.LG 50%

An Efficient Conditional Score-based Filter for High Dimensional Nonlinear Filtering Problems

Zhijun Zeng, Weiye Gan, Junqing Chen, Zuoqiang Shi

机构 * Department of Mathematical Sciences, Tsinghua University（清华大学数学科学系）； Yau Mathematical Sciences Center, Tsinghua University（清华大学叶中伟数学科学中心）； Yanqi Lake Beijing Institute of Mathematical Sciences and Applications（北京燕琦湖数学科学与应用研究所）

专题命中效率与蒸馏：diffusion(abstract)

2509.17894 2025-09-24 cs.LG 50%

Optimizing Inference in Transformer-Based Models: A Multi-Method Benchmark

Siu Hang Ho, Prasad Ganesan, Nguyen Duong, Daniel Schlabig

专题命中效率与蒸馏：diffusion(abstract)

Comments 6 pages, 4 figures. Technical report

2509.14847 2025-09-23 math.NA cs.NA 50%

A class of flexible and efficient partitioned Runge-Kutta-Chebyshev methods for some time-dependent partial differential equations

Xiao Tang, Junwei Huang

专题命中效率与蒸馏：diffusion(abstract)

2509.11284 2025-09-16 cs.LG physics.comp-ph 50%

PINGS: Physics-Informed Neural Network for Fast Generative Sampling

Achmad Ardani Prasha, Clavino Ourizqi Rachmadi, Muhamad Fauzan Ibnu Syahlan, Naufal Rahfi Anugerah, Nanda Garin Raditya, Putri Amelia, Sabrina Laila Mutiara, Hilman Syachr Ramadhan

机构 * Faculty of Computer Science, Universitas Mercu Buana（计算机科学学院，默克鲁巴纳大学）； Alumni, Universitas Mercu Buana（默克鲁巴纳大学校友）

专题命中效率与蒸馏：diffusion(abstract)

Comments 19 pages, 4 figures

2505.20514 2025-09-16 hep-th math-ph math.MP 50%

Spontaneous quantization of the Yang--Mills gradient flow

Alexander Migdal

专题命中效率与蒸馏：diffusion(abstract)

Comments 26 pages, 5 figures, This is the final revision submitted to NPB, with added discussion of previous analysis of minimal surfaces as solution of the loop equation

2509.09748 2025-09-15 cs.SD eess.AS 50%

DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive Calibration

Yanru Huo, Ziyue Jiang, Zuoli Tang, Qingyang Hong, Zhou Zhao

机构 * Zhejiang University（浙江大学）； Xiamen University（厦门大学）； Wuhan University（武汉大学）

专题命中效率与蒸馏：diffusion(abstract)

2509.05001 2025-09-08 math.NA cs.NA 50%

Synthetic Acceleration Preconditioners for Parametric Radiative Transfer Equations based on Trajectory-Aware Reduced Order Models

Ning Tang, Zhichao Peng

专题命中效率与蒸馏：diffusion(abstract)

Comments 32 pages, 9 figures

2509.04996 2025-09-08 cs.RO 50%

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies

Moritz Reuss, Hongyi Zhou, Marcel Rühle, Ömer Erdinç Yağmurlu, Fabian Otto, Rudolf Lioutikov

机构 * Intuitive Robots Lab（直观机器人实验室）； Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院）； Microsoft Research（微软研究院）

专题命中效率与蒸馏：diffusion(abstract)

Comments Published at CoRL 2025

2509.04920 2025-09-08 math.PR 50%

Efficient estimation of jump parameters for stochastic differential equations driven by L{é}vy processes

Elise Bayraktar, Emmanuelle Clément

专题命中效率与蒸馏：diffusion(abstract)

2407.15161 2025-09-05 cs.RO cs.AI cs.LG 50%

FFHFlow: Diverse and Uncertainty-Aware Dexterous Grasp Generation via Flow Variational Inference

Qian Feng, Jianxiang Feng, Zhaopeng Chen, Rudolph Triebel, Alois Knoll

机构 * School of Information Computation and Technology, Technical University of Munich (TUM)（技术大学慕尼黑信息计算技术学院）； Institute of Robotics and Mechatronics, German Aerospace Center (DLR)（德国航空航天中心机器人与机电研究所）； Department of Informatics, Karlsruhe Institute of Technology (KIT)（卡尔斯鲁厄理工学院信息学院）

专题命中效率与蒸馏：diffusion(abstract)

Comments First two authors contributed equally, whose ordering decided via coin-tossing. Accepted for CoRL 2025

2509.02607 2025-09-04 eess.IV cs.AI 50%

Towards Digital Twins for Optimal Radioembolization

Nisanth Kumar Panneerselvam, Guneet Mummaneni, Emilie Roncali

专题命中效率与蒸馏：diffusion(abstract)

2509.02069 2025-09-03 cs.LG q-bio.QM 50%

Data-Dependent Smoothing for Protein Discovery with Walk-Jump Sampling

Srinivas Anumasa, Barath Chandran. C, Tingting Chen, Dianbo Liu

机构 * National University of Singapore（新加坡国立大学）； Indian Institute of Technology, Roorkee（印度理工学院罗尔克学院）

专题命中效率与蒸馏：diffusion(abstract)

2509.01942 2025-09-03 stat.AP gr-qc 50%

Efficient Bayesian Sampling with Langevin Birth-Death Dynamics

Alex Leviyev, Francesco Iacovelli, Aaron Zimmerman

专题命中效率与蒸馏：diffusion(abstract)

2509.01679 2025-09-03 cs.LG cs.NA math.NA stat.ML 50%

Efficient Transformer-Inspired Variants of Physics-Informed Deep Operator Networks

Zhi-Feng Wei, Wenqian Chen, Panos Stinis

机构 * Pacific Northwest National Laboratory（太平洋西北国家实验室）； University of Washington（华盛顿大学）； Brown University（布朗大学）

专题命中效率与蒸馏：diffusion(abstract)

Comments Code will be released upon acceptance

2509.01575 2025-09-03 math.NA cs.NA 50%

An efficient spline-based scheme on Shishkin-type meshes for solving singularly perturbed coupled systems with Robin boundary conditions

Kousalya Ramanujam, Vembu Shanthi

专题命中效率与蒸馏：diffusion(abstract)

Comments 20 pages, 6 figures

2502.15530 2025-09-03 physics.comp-ph cond-mat.mtrl-sci 50%

Accurate and efficient machine learning interatomic potentials for finite temperature modeling of molecular crystals

Flaviano Della Pia, Benjamin X. Shi, Venkat Kapil, Andrea Zen, Dario Alfè, Angelos Michaelides

专题命中效率与蒸馏：diffusion(abstract)

Comments Updated figure 1 with corrected energy errors

Journal ref Chem. Sci., 16, 11419-11433 (2025)

2305.10690 2025-09-03 cs.LG 50%

Sampling, Diffusions, and Stochastic Localization

Andrea Montanari

机构 * Department of Statistics and Department of Mathematics, Stanford University（统计学系和数学系，斯坦福大学）； Granica Computing Inc（Granica计算公司）

专题命中效率与蒸馏：diffusion(abstract)

Comments 38 pages, 5 pdf figures

2502.13747 2025-08-19 cs.LG stat.ME stat.ML 50%

Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions

Xinwei Shen, Nicolai Meinshausen, Tong Zhang

专题命中效率与蒸馏：diffusion(abstract)

2508.11194 2025-08-18 cs.IR 50%

Representation Quantization for Collaborative Filtering Augmentation

Yunze Luo, Yinjie Jiang, Gaode Chen, Jingchi Wang, Shicheng Wang, Ruina Sun, Jiang Yuezihan, Jun Zhang, Jian Liang, Han Li, Kun Gai, Kaigui Bian

专题命中效率与蒸馏：diffusion(abstract)

Comments 11 pages, 4 figures

2411.07352 2025-08-18 physics.chem-ph 50%

Efficient Implementation of the Random Phase Approximation with Domain-based Local Pair Natural Orbitals

Yu Hsuan Liang, Xing Zhang, Garnet Kin-Lic Chan, Timothy C. Berkelbach, Hong-Zhou Ye

专题命中效率与蒸馏：diffusion(abstract)

Comments 6 pages, 4 figures

Journal ref J. Chem. Theory Comput. 2025, 21, 6, 2918--2927

2401.01220 2025-08-14 math.NA cs.NA 50%

Solving multiscale dynamical systems by deep learning

Junjie Yao, Yuxiao Yi, Liangkai Hang, Weinan E, Weizong Wang, Yaoyu Zhang, Tianhan Zhang, Zhi-Qin John Xu

专题命中效率与蒸馏：diffusion(abstract)

Comments 18 pages, 6 figures

2508.06833 2025-08-12 nlin.PS cs.NA math.NA 50%

Efficient data-driven regression for reduced-order modeling of spatial pattern formation

Alessandro Alla, Rudy Geelen, Hannah Lu

专题命中效率与蒸馏：diffusion(abstract)

2508.05411 2025-08-08 cs.LG 50%

MolSnap: Snap-Fast Molecular Generation with Latent Variational Mean Flow

Md Atik Ahamed, Qiang Ye, Qiang Cheng

专题命中效率与蒸馏：diffusion(abstract)

2508.04133 2025-08-07 cs.CC cs.DS math.CO math.PR 50%

Polynomial-time sampling despite disorder chaos

Eric Ma, Tselil Schramm

专题命中效率与蒸馏：diffusion(abstract)

2508.03839 2025-08-07 cs.LG cs.AI cs.CE 50%

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations

Yifei Zong, Alexandre M. Tartakovsky

机构 * School of Water Conservancy and Transportation（水利与交通学院）； Zhengzhou University（郑州大学）； Department of Civil and Environmental Engineering（土木与环境工程系）； University of Illinois Urbana Champaign（伊利诺伊大学厄巴纳-香槟分校）

专题命中效率与蒸馏：diffusion(abstract)

2503.14569 2025-08-06 cs.LG cs.AI 50%

Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance

Liya Guo, Zun Wang, Chang Liu, Junzhe Li, Pipi Hu, Yi Zhu

机构 * Yau Mathematical Sciences Center, Tsinghua University（清华大学姚数学科学中心）； Department of Mathematical Sciences, Tsinghua University（清华大学数学科学系）； Microsoft Research AI4Science, Beijing, China（微软研究院AI4Science，北京，中国）； School of Computer Science, Peking University（北京大学计算机科学学院）； Beijing, China（中国北京）

专题命中效率与蒸馏：diffusion(abstract)

2508.01745 2025-08-05 cs.LG cs.DC 50%

Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design

Xiangwang Hou, Jingjing Wang, Fangming Guan, Jun Du, Chunxiao Jiang, Yong Ren

机构 * Department of Electronic Engineering, Tsinghua University（电子工程系，清华大学）； School of Cyber Science and Technology, Beihang University（网络安全科学与技术学院，北京航空航天大学）

专题命中效率与蒸馏：diffusion(abstract)

1. 效率与蒸馏 2544 篇

StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training

Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs

Parallel Thinking, Sequential Answering: Bridging NAR and AR for Efficient Reasoning

An Efficient Conditional Score-based Filter for High Dimensional Nonlinear Filtering Problems

Optimizing Inference in Transformer-Based Models: A Multi-Method Benchmark

A class of flexible and efficient partitioned Runge-Kutta-Chebyshev methods for some time-dependent partial differential equations

PINGS: Physics-Informed Neural Network for Fast Generative Sampling

Spontaneous quantization of the Yang--Mills gradient flow

DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive Calibration

Synthetic Acceleration Preconditioners for Parametric Radiative Transfer Equations based on Trajectory-Aware Reduced Order Models

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies

Efficient estimation of jump parameters for stochastic differential equations driven by L{é}vy processes

FFHFlow: Diverse and Uncertainty-Aware Dexterous Grasp Generation via Flow Variational Inference

Towards Digital Twins for Optimal Radioembolization

Data-Dependent Smoothing for Protein Discovery with Walk-Jump Sampling

Efficient Bayesian Sampling with Langevin Birth-Death Dynamics

Efficient Transformer-Inspired Variants of Physics-Informed Deep Operator Networks

An efficient spline-based scheme on Shishkin-type meshes for solving singularly perturbed coupled systems with Robin boundary conditions

Accurate and efficient machine learning interatomic potentials for finite temperature modeling of molecular crystals

Sampling, Diffusions, and Stochastic Localization

Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions

Representation Quantization for Collaborative Filtering Augmentation

Efficient Implementation of the Random Phase Approximation with Domain-based Local Pair Natural Orbitals

Solving multiscale dynamical systems by deep learning

Efficient data-driven regression for reduced-order modeling of spatial pattern formation

MolSnap: Snap-Fast Molecular Generation with Latent Variational Mean Flow

Polynomial-time sampling despite disorder chaos

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations

Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance

Energy-Efficient Federated Learning for Edge Real-Time Vision via Joint Data, Computation, and Communication Design