Julek Sienkiewicz

Assistant Professor at Warsaw Univ. Technology, Ph.D. in physics, works in EU Project @RENOIRProjectEU

[Julek Sienkiewicz @julasms]

Let's say we have a binary opinion model on top of the duplex network, characterized by different parameters a1 and a2. Can we emulate it with a partially overlapped duplex with the same parameter a1 on both layers? Yes! https://t.co/PXjvQhMDJu

[Julek Sienkiewicz @julasms]

How preprints change after peer review? A recent preprint uses LLMs to check, while the OMINO project group comments on that, focusing on the issue of missing preprint-publication pairs. In Nature News https://t.co/2MFlxQ0HrM

[Julek Sienkiewicz @julasms]

We all know how information overload affects us. How about AI overload? Find out in our position paper just published in IEEE Intelligent Systems. https://t.co/R0lW73NRO3

[Julek Sienkiewicz @julasms]

Do we know how many preprints turn ultimately into journal papers? We do, at least for bioRxiv. And we share the dataset and describe it in our recent Scientific Data paper with Fidan Badalova and Philipp Mayr from GESIS! https://t.co/SGPQpJMl04

[Julek Sienkiewicz @julasms]

Predicting links in complex networks with GNN is possible; explaining it also works. In our recent work with P. Kaczyńska and G. Ślęzak in Sci. Rep., we show how to approximate it to make it faster. https://t.co/9URkkIOGH2

[Julek Sienkiewicz @julasms]

Predicting links with GNN - sure, but how can you visualize the influence of node feature values in a fast way? The answer is our (with P. Kaczyńska and D. Ślęzak) adaptation of the ALE method. https://t.co/OsnVlXUVUV

[Julek Sienkiewicz @julasms]

How to examine if a preprint turns into a publication? You have to start with the (right) data! That's what our new preprint (with F. Badalova and P. Mayr) is about - data included! https://t.co/uiEfapUcsV

[Julek Sienkiewicz @julasms]

Out this week: our new paper with A. Chmiel in Phys Rev E (https://t.co/HXroNwMl26) on the relation between temperature and noise (prob. of choice) in multiplex networks for q-lobby models.

[Julek Sienkiewicz @julasms]

New piece with Kamil Orzechowski and Agata and Piotr Fronczak: "When the crowd gets it wrong – the limits of collective wisdom in machine learning" https://t.co/mXGjxg5lDF

[Julek Sienkiewicz @julasms]

A new piece with Anna Chmiel on the relations between temperature and noise in opinion dynamics models. https://t.co/Rf9lnSCWFw

[Julek Sienkiewicz @julasms]

Just out: our small theoretical study on what happens when we examine a limited influence in a strongly polarized environment. https://t.co/VerqiJY2EI

[Julek Sienkiewicz @julasms]

How LLMs change their language to create personalized output and what it means to us. https://t.co/wOIEqbULF0

[Politechnika Warszawska @PW_edu]

Dlaczego fizyk dostał Nobla za sieci neuronowe? Czego uczy nas ta nagroda? Przyznanie @NobelPrize z fizyki komentują nasi #naukowcy z @fizyka_pw oraz Wydziału Matematyki i Nauk Informacyjnych 🗣️

https://t.co/BYPEYlbKzO

[Julek Sienkiewicz @julasms]

Is it only Big Techs and academia in AI, or is there another way? How do ideas propagate depending on your (mixed) affiliation? Check it out in our new piece, "Big Tech influence over AI research revisited.." https://t.co/tyuISp34SG

[Eduardo G. Altmann @EduardoGAltmann]

"Statistical Laws in Complex Systems", new pre-print monograph covering the history, traditional use, and modern debates in this topic.

https://t.co/Qm4m3guJvX

Comments and suggestions are welcome.

[Julek Sienkiewicz @julasms]

@N0BODY_PRIV @niedakh Od kilku lat, bardzo fajna trasa. 5h z W-wy do Koszalina, a potem 20 min i już się jest np. w Sarbinowie.

[Julek Sienkiewicz @julasms]

Celebrating the centennial of the Ising model! Macy, Szymanski and Holyst in npj complexity: https://t.co/DE59GmGm3L

[Julek Sienkiewicz @julasms]

Wie schädlich ist die digitale Informationsflut? https://t.co/Umz5O9C5DU https://t.co/gb8w4Qwgrq

[Philipp Mayr @Philipp_Mayr]

News article about our OMINO position paper.
"Information Overload Is a Personal and Societal Danger" https://t.co/VmlgORY4q5

Position paper: https://t.co/zRjmoF18Gq
@gesis_org

[Wydział Fizyki PW @fizyka_pw]

Polecamy podcast @projektpulsar i rozważania o "smogu informacyjnym" 🎧