newest pdf

This commit is contained in:
2026-04-21 00:13:04 +08:00
parent 6f908a493b
commit 012f34ac45
7 changed files with 112 additions and 133 deletions

View File

@@ -25,7 +25,7 @@
\citation{11087622}
\@writefile{toc}{\contentsline {section}{\numberline {2}Related Work}{3}{}\protected@file@percent }
\newlabel{sec:related}{{2}{3}{}{section.2}{}}
\citation{austin2023structureddenoisingdiffusionmodels}
\citation{austin2021structured}
\citation{Lin_2020}
\citation{hoogeboom2021argmaxflowsmultinomialdiffusion}
\citation{li2022diffusionlmimprovescontrollabletext}
@@ -113,51 +113,50 @@
\bibdata{references}
\bibcite{10.1145/3055366.3055375}{1}
\bibcite{info16100910}{2}
\bibcite{austin2023structureddenoisingdiffusionmodels}{3}
\bibcite{austin2021structured}{3}
\@writefile{toc}{\contentsline {section}{\numberline {5}Conclusion and Future Work}{16}{}\protected@file@percent }
\newlabel{sec:conclusion}{{5}{16}{}{section.5}{}}
\bibcite{austin2021structured}{4}
\bibcite{coletta2023constrained}{5}
\bibcite{dai2019transformerxlattentivelanguagemodels}{6}
\bibcite{godefroid2017learnfuzzmachinelearninginput}{7}
\bibcite{hang2023efficient}{8}
\bibcite{NEURIPS2020_4c5bcfec}{9}
\bibcite{ho2020denoising}{10}
\bibcite{hoogeboom2021argmaxflowsmultinomialdiffusion}{11}
\bibcite{jiang2023netdiffusionnetworkdataaugmentation}{12}
\bibcite{10.1007/s10844-022-00753-1}{13}
\bibcite{kollovieh2023tsdiff}{14}
\bibcite{kong2021diffwaveversatilediffusionmodel}{15}
\bibcite{pmlr-v202-kotelnikov23a}{16}
\bibcite{li2022diffusionlmimprovescontrollabletext}{17}
\bibcite{lin1991divergence}{18}
\bibcite{Lin_2020}{19}
\bibcite{liu2023pristiconditionaldiffusionframework}{20}
\bibcite{11087622}{21}
\bibcite{7469060}{22}
\bibcite{meng2025aflnetyearslatercoverageguided}{23}
\bibcite{Nankya2023-gp}{24}
\bibcite{nist2023sp80082}{25}
\bibcite{nie2023patchtst}{26}
\bibcite{rasul2021autoregressivedenoisingdiffusionmodels}{27}
\bibcite{Ring_2019}{28}
\bibcite{sha2026ddpm}{29}
\bibcite{she2019neuzzefficientfuzzingneural}{30}
\bibcite{shi2024simplified}{31}
\bibcite{shi2025tabdiff}{32}
\bibcite{shin}{33}
\bibcite{sikder2023transfusion}{34}
\bibcite{song2021score}{35}
\bibcite{stenger2024survey}{36}
\bibcite{tashiro2021csdiconditionalscorebaseddiffusion}{37}
\bibcite{vaswani2017attention}{38}
\bibcite{10.1145/1151659.1159928}{39}
\bibcite{wen2024diffstgprobabilisticspatiotemporalgraph}{40}
\bibcite{wu2022autoformerdecompositiontransformersautocorrelation}{41}
\bibcite{yang2001interlock}{42}
\bibcite{10.1145/3544216.3544251}{43}
\bibcite{yoon2019timegan}{44}
\bibcite{yuan2025ctu}{45}
\bibcite{zhou2021informerefficienttransformerlong}{46}
\bibcite{zhou2022fedformerfrequencyenhanceddecomposed}{47}
\bibcite{coletta2023constrained}{4}
\bibcite{dai2019transformerxlattentivelanguagemodels}{5}
\bibcite{godefroid2017learnfuzzmachinelearninginput}{6}
\bibcite{hang2023efficient}{7}
\bibcite{NEURIPS2020_4c5bcfec}{8}
\bibcite{ho2020denoising}{9}
\bibcite{hoogeboom2021argmaxflowsmultinomialdiffusion}{10}
\bibcite{jiang2023netdiffusionnetworkdataaugmentation}{11}
\bibcite{10.1007/s10844-022-00753-1}{12}
\bibcite{kollovieh2023tsdiff}{13}
\bibcite{kong2021diffwaveversatilediffusionmodel}{14}
\bibcite{pmlr-v202-kotelnikov23a}{15}
\bibcite{li2022diffusionlmimprovescontrollabletext}{16}
\bibcite{lin1991divergence}{17}
\bibcite{Lin_2020}{18}
\bibcite{liu2023pristiconditionaldiffusionframework}{19}
\bibcite{11087622}{20}
\bibcite{7469060}{21}
\bibcite{meng2025aflnetyearslatercoverageguided}{22}
\bibcite{Nankya2023-gp}{23}
\bibcite{nist2023sp80082}{24}
\bibcite{nie2023patchtst}{25}
\bibcite{rasul2021autoregressivedenoisingdiffusionmodels}{26}
\bibcite{Ring_2019}{27}
\bibcite{sha2026ddpm}{28}
\bibcite{she2019neuzzefficientfuzzingneural}{29}
\bibcite{shi2024simplified}{30}
\bibcite{shi2025tabdiff}{31}
\bibcite{shin}{32}
\bibcite{sikder2023transfusion}{33}
\bibcite{song2021score}{34}
\bibcite{stenger2024survey}{35}
\bibcite{tashiro2021csdiconditionalscorebaseddiffusion}{36}
\bibcite{vaswani2017attention}{37}
\bibcite{10.1145/1151659.1159928}{38}
\bibcite{wen2024diffstgprobabilisticspatiotemporalgraph}{39}
\bibcite{wu2022autoformerdecompositiontransformersautocorrelation}{40}
\bibcite{yang2001interlock}{41}
\bibcite{10.1145/3544216.3544251}{42}
\bibcite{yoon2019timegan}{43}
\bibcite{yuan2025ctu}{44}
\bibcite{zhou2021informerefficienttransformerlong}{45}
\bibcite{zhou2022fedformerfrequencyenhanceddecomposed}{46}
\gdef \@abspage@last{21}