@JannisBorn

Left X, find me on Bluesky: https://xitter.cf/t.co/fz5QWs5ugO

 Zürich, Schweiz
Joined December 2016
  • Tweets354
  • Following366
  • Followers645
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I am leaving X in favor of BlueSky. Since Elon took over, X departed from Twitter's values and turned into a dystopian platform. I have three two main reasons: (1) Zero content moderation is unacceptable. (2) Right-wing content skyrocketed. Details in the 🧵⬇️
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(1) Social media platforms have responsibilities akin to journalistic formats. They dont *generate* fake news, but they should be accountable if they flush it to my newsfeed. If the NYT had a fake news headline, the publisher would resign. Listen to Harari bit.ly/4ggSZWd
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(2) Right-wing content skyrocketed. This was strategic due to the 2024 presidential election. All users were at the mercy of Elon's personal interests. If that is not the definition of dystopia, what is? There is ample evidence for this: pewresearch.org/internet/202…

How Americans Navigate Politics on TikTok, X, Facebook and Instagram

X stands out as a place people go to keep up with politics. Still, some users see political posts on Facebook, TikTok and Instagram, too.

pewresearch.org
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📖Book Chapter Alert! “Language Models in Molecular Discovery” (link.springer.com/chapter/10…) is a deep dive into how language models can be used to accelerate molecular discovery, highlighting their strengths and weaknesses.

Language Models in Molecular Discovery

The success of language models, especially transformer-based architectures, has trickled into other scientific domains, giving rise to the concept of “scientific language models” that operate on...

link.springer.com
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Our ICML paper: ML + quantum computing + optimal transport = 🚀! Learn distributions conditionally with quantum. Including a 24-qubit hardware run on the assignment problem (predicting doubly-stochastic matrices) @IBMResearch 📖 ibm.biz/qontot-icml 📹 ibm.biz/qontot-yt

Quantum Theory and Application of Contextual Optimal Transport

Optimal Transport (OT) has fueled machine learning (ML) across many domains. When paired data measurements $(\boldsymbol{\mu}, \boldsymbol{\nu})$ are coupled...

proceedings.mlr.press
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Very intriguing to learn that the degraded visual system of newborns is a feature and not a bug!
Lukas Vogelsang@VogelsangLukas23 May 2024
Thrilled to share that our paper 'Impact of early visual experience on later usage of color cues', combining experimental data from children treated for congenital blindness and results of computational simulations, is now out in @ScienceMagazine! doi.org/10.1126/science.adk9… 🧵

Impact of early visual experience on later usage of color cues

Human visual recognition is remarkably robust to chromatic changes. In this work, we provide a potential account of the roots of this resilience based on observations with 10 congenitally blind...

science.org
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Consider these fantastic opportunities in #Lausanne if you're into ML for Biomedicine and are looking for a PhD, PostDoc or master thesis! I can speak from experience and it has been super inspiring to work with @marianna_raps!
Marianna Rapsomaniki@marianna_raps16 May 2024
📢 We are hiring! 📢 Are you a MSc/PhD👩‍🎓👨‍🎓 passionate about #AI #ML in #cancer, looking for your next career step? Join our newly-founded AI/ML for Biomedicine group part of the Biomedical Data Science Center at @unil and @CHUVLausanne in beautiful Lausanne!🇨🇭🏔🌈 👇
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In our new paper in @Nature_NPJ we propose to use **z-scored** drug response measures (IC50, AUC etc). We show that conventional metrics hamper the development of personalized prediction models 🤯 Thanks to all collaborators!
npj Journals@Nature_NPJ2 May 2024
New in #npjPrecisionOncology: Drug response models overlook nuances of drug effects between cancer subtypes. The solution? Use z-scored measures to unlock more personalized drug response predictions @jannisborn @MariannKruithof @Katja_HB4 @PChouvardas bit.ly/4biMxLS
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Thrilled to launch the NCCR Catalysis #Trailblazers series on exceptional individuals breaking barriers! 🤩 On #InternationalWomensDay, meet Alessandra @AlessToniato, a mum of 2 & PhD researcher 👩🏼‍💻 at @IBMResearch with @teodorolaino. 💬 Full interview: nccr-catalysis.ch/news/nccr-…
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Interested in Uncertainty Quantification for Sequence Prediction? Come check out our poster at @RealAAAI today. We add rigorous uncertainty quantification to Beam Search using Conformal Predictions! @nickgermann @IBMResearch
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Introducing Clipboard-to-SMILES Converter: a macOS app for effortless conversion of screenshots into molecular structures (SMILES, SELFIES, etc.) right from your clipboard, complete with a convenient history feature! Check out our paper and download it: doi.org/10.1002/ail2.91
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Join our Track on #AI for #drugdiscovery at #AMLD2024 March 25 in Lausanne 🇨🇭! 🔥 Sessions on #AI for #molecules, #singlecell #omics 🔊 Stellar invited talks from @mo_lotfollahi @fra_grisoni and @DRoqueiro 🗒️ Submit your abstract and get selected for a short talk or a poster 👇
AMLD Intelligence Summit@appliedmldays17 Jan 2024
The call for Posters is now open for AMLD EPFL 2024! Passionate about AI and machine learning? Join a track at AMLD EPFL 2024! Find out more here. go.epfl.ch/AMLDTracks Early Bird rates until 25 January. Register now! go.epfl.ch/AMLD #AMLDEPFL2024 #AI #MachineLearning
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We have now completed our analysis of new materials reported in the Google Deepmind / Berkeley autonomous lab paper. My own initial analysis is in the quote tweet. Happy to have worked with @SchoopLab to jointly put together a comprehensive analysis, now available on @ChemRxiv. This thread is my personal view after having looked at the detail of each of the materials reported 🧵 chemrxiv.org/engage/chemrxiv…
Robert Palgrave
@Robert_Palgrave30 Nov 2023
This exciting paper shows AI design of materials, robotic synthesis. 10s of new compounds in 17 days. But did they? This paper has very serious problems in materials characterisation. In my view it should never have got near publication. Hold on tight let's take a look 😱
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Jannis Born retweeted
Mara Graziani@mormontre3 Jan 2024
Entering 2024 as a Research Scientist at @IBMResearch Europe💃 thrilled to join a team of pure🔥 and to finally be a full member of the crew. Looking forward to the great things coming ahead 🤓
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Our paper got accepted at #AAAI24! 🎉 We propose two new sequence generation algorithms with "error bars", by adapting beam search to conformal predictions. If you use LLMs for science, like predicting molecules or proteins that verify some conditions, check it out!
Nicolas Deutschmann@nickgermann11 Sep 2023
Here's our preprint on conformal sequence generation! w/ @malberts99 @MariaRoCompBio arxiv.org/abs/2309.03797 Two new algorithms for sequence prediction sets with guarantees: - Conformal sub-beams: pruning standard beams - Conformal dynamic beams: step-by-step conformal decoding.
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We're in 2nd half of #NeurIPS2023, but still much exciting research ahead!Thrilled to present some work from #AI4SD team @IBMResearch. Topics cover quantum computing, foundation models, optimal transport, digitization of lab workflows, language models in molecular design & more⬇️
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3/4 “Language Models in Molecular Discovery” — AI4Science workshop (Saturday, brought to you by @niklexical) TL;DR: How to leverage language models to accelerate molecular discovery, despite their limitations.
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4/4 “Characterizing pre-trained and task-adapted molecular representations” — #UniReps workshop (Friday) TL;DR:  A post-hoc quality evaluation method for representation learning models and domain adaptation methods that is task and modality-agnostic
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