Search results for #generativemethods
📢📢Read #Entropy recent Article "Generative Bayesian Computation for Maximum Expected Utility", by Nick Polson, Fabrizio Ruggeri and Vadim Sokolov 👉Find full article at: mdpi.com/1099-4300/26/1… #GenerativeMethods #BayesianComputations #DeepLearning
Abstracts to Anthems: From Inscrutable to Incredibly Catchy” is a performance and art piece transforming academic texts to catchy songs. Link: aau.dk/conference-gen… Made in December 2023. Thanks @MASSHINE_AAU, @AndersKMunk and everyone else involved! #GenerativeMethods
To read all abstracts or listen to songified abstracts transformed by generative AI methods, visit this link: aau-generative-methods.vercel.app. This is super cool!! Thanks to @AndreasRef, who surprised all of us with his creative approach to academic language 👊🔥🙃 #generativemethods
Happy to be in the same panel with people that I look up to, brilliant scholars like @mccastelle @AndersKMunk @ErikBorr @jacomyma The new @CIMethods blog post informs a little bit about Michael's and my presentation 🤓 warwick.ac.uk/fac/cross_fac/… #generativemethods
@jilltxt calls for less boring applications of ML in SSH research and more analytical thinking when evaluatibg the output #GenerativeMethods @MASSHINE_AAU
We have too many mad politicians and too few mad scientists! Jakob Stegelman opens #GenerativeMethods @MASSHINE_AAU
5 days left to submit your abstract #generativemethods
Another great reason to submit your 200-word abstract to our #GenerativeMethods conference @jilltxt leads the @ERC_Research project uib.no/en/machinevisi… and has a forthcoming book on how algorithms are changing the way we see the world on @politybooks: politybooks.com/bookdetail?boo…
Deep Generators on Commodity Markets Application to Deep Hedging by Nicolas Boursin, Carl Remlinger, and Joseph Mikael mdpi.com/2227-9091/11/1… #timeseries #generativemethods #GAN #deephedging #energymarkets Any comments are welcomed.👏
DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach #Cheminformatics #Deeplearning #Generativemethods #QSAR #Reinforcementlearning livrepository.liverpool.ac.uk/3103438
@julia_bergeron Well, there is street art and then there is soot art! #generativemethods ;-)