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Posts with #OpenProblems

#OpenProblems

Public posts on X that use #OpenProblems.

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  1. Malte Luecken@MDLuecken
    Are you interested in #SpatialOmics? Are you developing a method or a pipeline for your data? Or are you just curious how well foundation models really work in SCG? 🧬 Join us Dec 7-11 for the next #OpenProblems hackathon joint with SPACEHACK 5.0.
    113433
  3. Malte Luecken@MDLuecken
    A great overview of the current state of benchmarking in single-cell data analysis. This review really captures the heart of what we're trying to work for in #OpenProblems in Single-cell analysis.
    bioRxiv Bioinfo @biorxiv_bioinfo
    Meta-analysis of (single-cell method) benchmarks reveals the need for extensibility and interoperability #biorxiv_bioinfo
    1941
  4. bioRxiv Bioinfo@biorxiv_bioinfo
    Meta-analysis of (single-cell method) benchmarks reveals the need for extensibility and interoperability #biorxiv_bioinfo
    01658
  8. Yacoub@TheYacoubYouKno
    Take the biggest pair of consecutive primes you know and find their square roots. The difference between the roots is less than 1....probably...we don't know yet. It's been checked for some really big primes. This conjecture is due to Dorin Andrica. #openproblems #math
    001
  9. Souradip Chakraborty✓@SOURADIPCHAKR18
    Thanks, @parameterlab for sharing our survey on AI-generated text detection. Hopefully, we will be able to solve the #Openproblems soon providing robust solutions :) #AIethics #DigitalAuthenticity #security #privacy #LLMs @umdcs @UMDscience @ml_umd @trails_ai
    Parameter Lab @parameterlab
    🔍 This week's #ResearchMonday delves into the timely challenge of distinguishing AI-generated text from human-written content. A new survey paper examines the rapid advancements and concerns around Large Language Models, like misinformation and fake news. 📄✍️ It highlights the ongoing battle between developing detection frameworks and strategies to evade them: a real cat and mouse game 🐭😺. Crucially, this paper provides a comprehensive analysis of both possibilities and impossibilities in AI text detection, underscoring the need for robust, foolproof methods. An essential read for navigating the complexities of #AIethics and #DigitalAuthenticity! 🔏
    13102.6K
  10. Parameter Lab✓@parameterlab
    🔍 This week's #ResearchMonday delves into the timely challenge of distinguishing AI-generated text from human-written content. A new survey paper examines the rapid advancements and concerns around Large Language Models, like misinformation and fake news. 📄✍️ It highlights the ongoing battle between developing detection frameworks and strategies to evade them: a real cat and mouse game 🐭😺. Crucially, this paper provides a comprehensive analysis of both possibilities and impossibilities in AI text detection, underscoring the need for robust, foolproof methods. An essential read for navigating the complexities of #AIethics and #DigitalAuthenticity! 🔏
    0053.3K
  11. Malte Luecken@MDLuecken
    Building on our multimodal data integration competition last year, for #NeurIPS2022 we've added time into the equation! Check out the new #OpenProblems Competition in longitudinal multimodal integration, spearheaded by @DBBurkhardt!
    Daniel Burkhardt @DBBurkhardt
    Ready, set, code! The Open Problems in Single-Cell Analysis competition at #NeurIPS2022 is open, featuring $25,000 in prizes & a new multimodal #singlecell timecourse deeply profiling hematopoiesis 🥳 🎉🧪🧫 Join us on Kaggle! To learn more, read on 🧵👇
    0217
  12. Daniel Burkhardt✓@DBBurkhardt
    Ready, set, code! The Open Problems in Single-Cell Analysis competition at #NeurIPS2022 is open, featuring $25,000 in prizes & a new multimodal #singlecell timecourse deeply profiling hematopoiesis 🥳 🎉🧪🧫 Join us on Kaggle! To learn more, read on 🧵👇
    3108306
  13. Malte Luecken@MDLuecken
    Exciting method to link single-cell profiles across modalities. These guys won the multi-modal integration "match modality" task in our #OpenProblems NeurIPS '21 competition. Cool to see methods developed for the competition now being published! The power of open competitions!
    Xinming Tu @TuXinming
    Excited to share our NeurIPS Oral paper( Here, we proposed a semi-supervised neural network named CLUE for cross-modality representation, which preserves both shared and modality-specific information by modality-specific subspaces and cross/self-encoders
    1117
  14. Xinming Tu✓@TuXinming
    Excited to share our NeurIPS Oral paper( Here, we proposed a semi-supervised neural network named CLUE for cross-modality representation, which preserves both shared and modality-specific information by modality-specific subspaces and cross/self-encoders
    6765
  16. Natalya Tatarchuk 🇺🇦@mirror2mask
    Folks, apologies - #rtradvances and #openproblems notes along with other realtimerendering content will be back up soon, we ran into an issue with a large PPTX. Call to action: better PPT compression? Stay tuned for updates.
    Eric Haines @pointinpolygon
    Learn something new every day. is temporarily down due to "site causing performance problems." There was a Powerpoint slideset from the Advances course that was 2 GB, too much for Bluehost. You can visit the (slightly dated) site at
    0312
  17. Eric Haines@pointinpolygon
    Learn something new every day. is temporarily down due to "site causing performance problems." There was a Powerpoint slideset from the Advances course that was 2 GB, too much for Bluehost. You can visit the (slightly dated) site at
    31042
  22. Malte Luecken@MDLuecken
    Our current #OpenProblems competition for NeurIPS 2022 is 1 month old, and already >500 teams have submitted. Predict multimodal cellular profiles in time series data to get involved! Featuring a simplified submission system, a new dataset, and $25k in prizes!
    Cellarity @cellaritybio
    Are you interested in #singlecell research + multimodal data integration? We’ve generated a new unique dataset for a competition for #NeurIPS2022 to predict how cells change over time. Learn more on Kaggle: #AI #machinelearning #medicine #NeurIPS
    11018
  26. Daniel Burkhardt✓@DBBurkhardt
    It was amazing working with @awscloud to implement Open Problems in Single-Cell Analysis on the cloud! Thanks also to @scottgigante and @olgabot who drove much of the coding 👏🎉 Read more about #OpenProblems and how we built a platform to scale:
    21444
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