图像生成 - arXivDaily 专题

2410.21340 2024-10-30 cs.LG cs.AI cs.DC 50%

Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments

Yuzhe Yang, Yipeng Du, Ahmad Farhan, Claudio Angione, Yue Zhao, Harry Yang, Fielding Johnston, James Buban, Patrick Colangelo

专题命中效率与蒸馏：image generation(abstract)

2405.16321 2024-10-25 cond-mat.stat-mech physics.chem-ph physics.comp-ph 50%

On the Definition of Velocity in Discrete-Time, Stochastic Langevin Simulations

Niels Grønbech-Jensen

专题命中效率与蒸馏：diffusion(abstract)

Comments 25 pages, 21 figures

Journal ref Journal of Statistical Physics Vol.191, 137 (2024)

2404.14700 2024-10-25 eess.AS cs.AI cs.CL cs.LG cs.SD 50%

FlashSpeech: Efficient Zero-Shot Speech Synthesis

Zhen Ye, Zeqian Ju, Haohe Liu, Xu Tan, Jianyi Chen, Yiwen Lu, Peiwen Sun, Jiahao Pan, Weizhen Bian, Shulin He, Wei Xue, Qifeng Liu, Yike Guo

专题命中效率与蒸馏：diffusion(abstract)

Comments Efficient zero-shot speech synthesis

2210.11102 2024-10-22 math.NA cs.NA math.PR 50%

Piecewise linear interpolation of noise in finite element approximations of parabolic SPDEs

Gabriel Lord, Andreas Petersson

专题命中效率与蒸馏：diffusion(abstract)

Comments Extended introduction, added supplementary comparison to spectral method

2410.06544 2024-10-10 cs.SD eess.AS 50%

SRC-gAudio: Sampling-Rate-Controlled Audio Generation

Chenxing Li, Manjie Xu, Dong Yu

专题命中效率与蒸馏：diffusion(abstract)

Comments Accepted by APSIPA2024

2408.10445 2024-10-10 astro-ph.SR astro-ph.HE physics.plasm-ph 50%

Compression Acceleration of Protons and Heavier Ions at the Heliospheric Current Sheet

Giulia Murtas, Xiaocan Li, Fan Guo

专题命中效率与蒸馏：diffusion(abstract)

Comments 15 pages, 6 figures. Accepted by ApJ

2410.01776 2024-10-03 physics.ao-ph cs.LG 50%

Dynamical-generative downscaling of climate model ensembles

Ignacio Lopez-Gomez, Zhong Yi Wan, Leonardo Zepeda-Núñez, Tapio Schneider, John Anderson, Fei Sha

专题命中效率与蒸馏：diffusion(abstract)

2401.08092 2024-09-24 cs.LG cs.AI cs.DC 50%

A Survey of Resource-efficient LLM and Multimodal Foundation Models

Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu

专题命中效率与蒸馏：diffusion(abstract)

2301.13362 2024-09-23 cs.LG 50%

Optimizing DDPM Sampling with Shortcut Fine-Tuning

Ying Fan, Kangwook Lee

专题命中效率与蒸馏：diffusion(abstract)

Comments ICML 2023

2409.10108 2024-09-17 cond-mat.stat-mech physics.chem-ph 50%

Smart Resetting: An Energy-Efficient Strategy for Stochastic Search Processes

Ofir Tal-Friedman, Tommer D. Keidar, Shlomi Reuveni, Yael Roichman

专题命中效率与蒸馏：diffusion(abstract)

2409.09351 2024-09-17 eess.AS cs.SD 50%

E1 TTS: Simple and Fast Non-Autoregressive TTS

Zhijun Liu, Shuai Wang, Pengcheng Zhu, Mengxiao Bi, Haizhou Li

专题命中效率与蒸馏：diffusion(abstract)

2404.00845 2024-09-17 cond-mat.mtrl-sci 50%

Harnessing Interlayer Magnetic Coupling for Efficient, Field-Free Current-Induced Magnetization Switching in a Magnetic Insulator

Leran Wang, Alejandro O. Leon, Wenqing He, Zhongyu Liang, Xiaohan Li, Xiaoxiao Fang, Wenyun Yang, Licong Peng, Jinbo Yang, Caihua Wan, Gerrit E. W. Bauer, Zhaochu Luo

专题命中效率与蒸馏：diffusion(abstract)

2409.07912 2024-09-13 cs.CE 50%

Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics

Zijun Chen, Yu Wang, Liuzhenghao Lv, Hao Li, Zongying Lin, Li Yuan, Yonghong Tian

专题命中效率与蒸馏：diffusion(abstract)

2409.07323 2024-09-12 cs.LG stat.ML 50%

Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models

Fengzhe Zhang, Jiajun He, Laurence I. Midgley, Javier Antorán, José Miguel Hernández-Lobato

专题命中效率与蒸馏：diffusion(abstract)

Comments 10 pages, 4 figures

2409.07032 2024-09-12 stat.ML cs.LG 50%

From optimal score matching to optimal sampling

Zehao Dou, Subhodh Kotekal, Zhehao Xu, Harrison H. Zhou

专题命中效率与蒸馏：diffusion(abstract)

Comments 71 pages

2312.14810 2024-09-10 cs.CE math.OC stat.ME 50%

Accurate, scalable, and efficient Bayesian optimal experimental design with derivative-informed neural operators

Jinwoo Go, Peng Chen

专题命中效率与蒸馏：diffusion(abstract)

2408.17257 2024-09-06 stat.ME 50%

Likelihood estimation for stochastic differential equations with mixed effects

Fernando Baltazar-Larios, Mogens Bladt, Michael Sørensen

专题命中效率与蒸馏：diffusion(abstract)

2404.00237 2024-09-05 cs.RO 50%

Joint Pedestrian Trajectory Prediction through Posterior Sampling

Haotian Lin, Yixiao Wang, Mingxiao Huo, Chensheng Peng, Zhiyuan Liu, Masayoshi Tomizuka

专题命中效率与蒸馏：diffusion(abstract)

2312.17293 2024-09-05 eess.IV cs.LG physics.med-ph 50%

$μ$GUIDE: a framework for quantitative imaging via generalized uncertainty-driven inference using deep learning

Maëliss Jallais, Marco Palombo

专题命中效率与蒸馏：diffusion(abstract)

2408.14513 2024-08-28 cs.LG cs.AI 50%

Variational autoencoder-based neural network model compression

Liang Cheng, Peiyuan Guan, Amir Taherkordi, Lei Liu, Dapeng Lan

专题命中效率与蒸馏：image generation(abstract)

2406.03555 2024-08-22 astro-ph.HE 50%

Superbubbles as Galactic PeVatrons: The Potential Role of Rapid Second-Order Fermi Acceleration

Jacco Vink

专题命中效率与蒸馏：diffusion(abstract)

Comments Submitted to A&A letters. This is a revised version, taking into account the comments by the referee. 5 pages, 3 figures

2408.10982 2024-08-21 cs.DC 50%

GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover

Reet Barik, Wade Cappa, S M Ferdous, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman

专题命中效率与蒸馏：diffusion(abstract)

2408.09566 2024-08-20 cond-mat.mtrl-sci cond-mat.mes-hall 50%

Efficient spin to charge conversion and spin memory loss mitigation in oriented $\text{RuO}_2$ films

Abhisek Mishra, Kshitij Singh Rathore, Swayang Priya Mahanta, Subhankar Bedanta

专题命中效率与蒸馏：diffusion(abstract)

2205.14630 2024-08-16 cs.LG 50%

Physical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs)

Jassem Abbasi, Pål Østebø Andersen

专题命中效率与蒸馏：diffusion(abstract)

Comments 26 pages, 9 figures

2404.17397 2024-08-14 astro-ph.HE 50%

Individual particle approach to the diffusive shock acceleration. Effect of the non-uniform flow velocity downstream of the shock

O. Petruk, T. Kuzyo

专题命中效率与蒸馏：diffusion(abstract)

Comments Accepted by Astronomy & Astrophysics

Journal ref A&A 688, A108 (2024)

2312.07893 2024-07-30 physics.flu-dyn quant-ph 50%

Quantum computing of reacting flows via Hamiltonian simulation

Zhen Lu, Yue Yang

专题命中效率与蒸馏：diffusion(abstract)

Journal ref Proc. Combust. Inst. 40 (2024) 105440

2307.08006 2024-07-30 physics.chem-ph 50%

Lambda-ABF: Simplified, Portable, Accurate and Cost-effective Alchemical Free Energy Computations

Louis Lagardère, Lise Maurin, Olivier Adjoua, Krystel El Hage, Pierre Monmarché, Jean-Philip Piquemal, Jérôme Hénin

专题命中效率与蒸馏：diffusion(abstract)

Journal ref Journal of Chemical Theory and Computation 20 (2024) 4481-4498

2407.18802 2024-07-29 stat.ML cs.IT cs.LG math.IT 50%

Log-Concave Coupling for Sampling Neural Net Posteriors

Curtis McDonald, Andrew R Barron

专题命中效率与蒸馏：diffusion(abstract)

Comments This research was presented at the International Symposium on Information Theory (ISIT). Athens, Greece, July 11, 2024. The material was also presented in the 2024 Shannon Lecture

2407.15238 2024-07-23 cs.LG cs.AI cs.NE 50%

Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling

Junn Yong Loo, Michelle Adeline, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphael C. -W. Phan

专题命中效率与蒸馏：image generation(abstract)

2405.02845 2024-07-17 cs.LG q-bio.MN 50%

Data-Efficient Molecular Generation with Hierarchical Textual Inversion

Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin

专题命中效率与蒸馏：image generation(abstract)

Comments ICML 2024

1. 效率与蒸馏 2544 篇

Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments

On the Definition of Velocity in Discrete-Time, Stochastic Langevin Simulations

FlashSpeech: Efficient Zero-Shot Speech Synthesis

Piecewise linear interpolation of noise in finite element approximations of parabolic SPDEs

SRC-gAudio: Sampling-Rate-Controlled Audio Generation

Compression Acceleration of Protons and Heavier Ions at the Heliospheric Current Sheet

Dynamical-generative downscaling of climate model ensembles

A Survey of Resource-efficient LLM and Multimodal Foundation Models

Optimizing DDPM Sampling with Shortcut Fine-Tuning

Smart Resetting: An Energy-Efficient Strategy for Stochastic Search Processes

E1 TTS: Simple and Fast Non-Autoregressive TTS

Harnessing Interlayer Magnetic Coupling for Efficient, Field-Free Current-Induced Magnetization Switching in a Magnetic Insulator

Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics

Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models

From optimal score matching to optimal sampling

Accurate, scalable, and efficient Bayesian optimal experimental design with derivative-informed neural operators

Likelihood estimation for stochastic differential equations with mixed effects

Joint Pedestrian Trajectory Prediction through Posterior Sampling

$μ$GUIDE: a framework for quantitative imaging via generalized uncertainty-driven inference using deep learning

Variational autoencoder-based neural network model compression

Superbubbles as Galactic PeVatrons: The Potential Role of Rapid Second-Order Fermi Acceleration

GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover

Efficient spin to charge conversion and spin memory loss mitigation in oriented $\text{RuO}_2$ films

Physical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs)

Individual particle approach to the diffusive shock acceleration. Effect of the non-uniform flow velocity downstream of the shock

Quantum computing of reacting flows via Hamiltonian simulation

Lambda-ABF: Simplified, Portable, Accurate and Cost-effective Alchemical Free Energy Computations

Log-Concave Coupling for Sampling Neural Net Posteriors

Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling

Data-Efficient Molecular Generation with Hierarchical Textual Inversion