2404[.]19756v2-compressed[.]pdf

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Target

2404.19756v2-compressed.pdf
Size

1.4MB
MD5

803b41da4bc7a86c964b5745c605917d
SHA1

6e6b723101926febaa73370dfa1708eb1fb5c731
SHA256

8381fda4136d229921a2af6cc1e6d1db9cd6df7840e0bf7bc0e5b9462eb2f6f5
SHA512

1730b162fff392f4335afe9e77da784b154c3dc21953161de78795fd906b9342fe6839fbc5ba933917ad51cc18d5b808512f30af2e687fb867148072f6061904
SSDEEP

24576:t8Bxz5f/LG016iigSHhBlcKpMmtpn5qcutZLtyA2TGF41:0xxC+xWhBl9hstyAAGy1

Score

3^/10

pdf link

Malware Config

Signatures

One or more HTTP URLs in PDF identified
Detects presence of HTTP links in PDF files.
pdf link

Files

2404.19756v2-compressed.pdf
.pdf
Password: hvgd
- http://Afastneuralmodelforsymbolicregressionatscale.ar
- http://GeorgMartiusandChristophHLampert.Extrapolationandlearningequations.ar
- http://MilesCranmer.Interpretablemachinelearningforsciencewithpysrandsymbolicregression.jl.ar
- http://Ming-JunLaiandZhaimingShen.Thekolmogorovsuperpositiontheoremcanbreakthecurseofdimensionalitywhenapproximatinghighdimensionalfunctions.ar
- http://UtkarshSharmaandJaredKaplan.Aneuralscalinglawfromthedimensionofthedatamani-fold.ar
- http://andAn-imaAnandkumar.Fouriercontinuationforexactderivativecomputationinphysics-informedneuraloperators.ar
- http://andAnimaAnandkumar.Fourierneuraloperatorforparametricpartialdiffer-entialequations.ar
- http://andDarioAmodei.Scalinglawsforneurallanguagemodels.ar
- http://andJeffGore.Aresourcemodelforneuralscalinglaw.ar
- http://andLeeSharkey.Sparseautoencodershighlyinterpretablefeaturesinlanguagemodels.ar
- http://andUtkarshSharma.Explainingneuralscalinglaws.ar
- http://empirically.ar
- http://etal.In-contextlearningandinductionheads.ar
- http://etal.Scalinglawsforautoregressivegenerativemodeling.ar
- http://etal.Toymodelsofsuperposition.ar
- http://github.com/trevorstephens/gplearn.Accessed:2024-04-19.37
- http://jmodel.auto
- http://mit.eduPreprint.Underreview.ar
- http://trainingtimescalesfavorablywithgridsizeG.work
- http://transformer-circuits.pub/2022/solu/index.html.[67]MohitGoyal,RajanGoyal,andBrejeshLall.Learningactivationfunctions:Anewparadigmforunderstandingneuralnetworks.arXivpreprintarXiv:1906.09529,2019.[68]PrajitRamachandran,BarretZoph,andQuocVLe.Searchingforactivationfunctions.arXivpreprintarXiv:1710.05941,2017.[69]ShijunZhang,ZuoweiShen,andHaizhaoYang.Neuralnetworkarchitecturebeyondwidthanddepth.AdvancesinNeuralInformationProcessingSystems,35:5669
- https://github.com/KindXiaoming/pykan
- https://github.com/KindXiaoming/pykanandcanalsobeinstalledviapipinstallpykan.2Kolmogorov
- https://github.com/trevorstephens/gplearn
- Show all

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Files

Password: hvgd