Jure Leskovec @jure
Professor of #computerscience @Stanford; Co-founder at https://t.co/hhm1j5wP0f #machinelearning #graphs. cs.stanford.edu/~jure/ Stanford, CA Joined August 2007-
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Reduce LLM hallucinations with RAG over textual as well as structured knowledge bases. Together with @amazon we are releasing 🌟STaRK 🌟, a large-scale LLM retrieval benchmark on semi-structured knowledge bases with dataset from e-commerce, biomedicine, and academic research.
Reduce LLM hallucinations with RAG over textual as well as structured knowledge bases. Together with @amazon we are releasing 🌟STaRK 🌟, a large-scale LLM retrieval benchmark on semi-structured knowledge bases with dataset from e-commerce, biomedicine, and academic research.
Research on Slovenian 🇸🇮 cultural heritage in the USA 🇺🇸 and Canada 🇨🇦 is extended until 𝗠𝗮𝘆 𝟭𝟱, 𝟮𝟬𝟮𝟰❗ 🔗 Survey for churches/parishes ➡️ bit.ly/surveyparishes 🔗 Survey for other organizations/structures ➡️ bit.ly/surveyorganiza…
Kumo.AI has just been recognized by @Forbes as one of the top AI companies in the world alongside giants like @OpenAI and @AnthropicAI. I couldn't be prouder to be part of the @Kumo_ai_team and the AI revolution. forbes.com/lists/ai50/?sh…
What a way to start the day! Kumo.AI has just been recognized by @Forbes as one of the top AI companies in the world. It feels surreal to be ranked alongside giants like @OpenAI and @AnthropicAI. I couldn't be prouder to be part of the @Kumo_ai_team and the AI…
Check out our PyTorch Frame tech report arxiv.org/abs/2404.00776 We aim to push tabular deep learning to handle complex multi-modal, multi-tabular data, beyond conventional single-tabular data. We do so by seamlessly integrating PyTorch Frame with LLMs and Graph Neural Nets!
Check out our PyTorch Frame tech report arxiv.org/abs/2404.00776 We aim to push tabular deep learning to handle complex multi-modal, multi-tabular data, beyond conventional single-tabular data. We do so by seamlessly integrating PyTorch Frame with LLMs and Graph Neural Nets!
From @YanayRosen and @jure : A foundation model that universally maps cells across tissues and species! Learn more at : github.com/snap-stanford/…
From @YanayRosen and @jure : A foundation model that universally maps cells across tissues and species! Learn more at : github.com/snap-stanford/…
Thrilled to share that my lab is looking for postdocs! In partnership with @ChanZuckerberg, we're focusing on developing massive biomedical foundation models to create an AI-powered virtual cell. Dream of harnessing the power of 1,000 H100s? Apply now at: snap.stanford.edu/apply/index-po…
Grateful to have sat down with Carl for this story to share more about finding from UCE, which was drained on data from @cziscience's #CellxGene. Thank you to collaborators @YanayRosen @yusufroohani and CZI!
Grateful to have sat down with Carl for this story to share more about finding from UCE, which was drained on data from @cziscience's #CellxGene. Thank you to collaborators @YanayRosen @yusufroohani and CZI!
Excited to share our PlaNet 🌏method that reasons over population variability, disease biology, and drug chemistry using a massive clinical knowledge graph. We apply PlaNet to predict outcomes of clinical trials. w/ @michiyasunaga @agrwalprabhat @jure medrxiv.org/content/10.110…
🚀 Join us for a special webinar on March 6th, 8am PT/5pm CET, as we unveil the latest in GNN technology - PyG 2.5! 🎉 Dive deep into the features with a live demo on setting up and using our new distributed GNN training solution. A stellar collaboration between @Kumo_ai_team…
Our work on SATURN, a method that brings us closer to Universal Cell Embeddings across species has been published in Nature Methods today.
Our work on SATURN, a method that brings us closer to Universal Cell Embeddings across species has been published in Nature Methods today.
📢 In collaboration with @intel and @Kumo_ai_team we are excited to release @PyG_Team v2.5. Big new features: Distributed GNN training, graph tensor representation, RecSys support, PyTorch 2.2 and native compilation support! github.com/pyg-team/pytor…
🚨1/ New to CZ #CELLxGENE: models & embeddings that integrate up to 36M cells in the Census corpus. Use embeddings to explore the corpus directly, or download the models to run your own data through them to enable direct comparisons to the reference. 🧵 bit.ly/census_models
Nice work from @KexinHuang5 and collaborators at @genentech that trained GEARS in the active learning setting using iterative wet-lab experiments
Nice work from @KexinHuang5 and collaborators at @genentech that trained GEARS in the active learning setting using iterative wet-lab experiments
Making tabular machine learning easy with PyToch Frame. Check it out!
Can deep learning work on small data with far more features than samples? We present PLATO: a method that achieves the state-of-the-art on such datasets by using prior domain information! neurips.cc/virtual/2022/p… 🧵 Published in #NeurIPS2023 with @ren_hongyu @KexinHuang5 @jure
Unrelated to all the goings on at NeurIPS, this is now available on arXiv! Paper: arxiv.org/abs/2312.04615
Unrelated to all the goings on at NeurIPS, this is now available on arXiv! Paper: arxiv.org/abs/2312.04615
Excited to share our latest research: The myth of cosmopolitan cities: Why large urban areas are more segregated Long-standing assumption is that large cities with their diverse population, foster diverse person-to-person interactions. Our @Nature paper shows the opposite is…
Relational Deep Learning is bringing the power of representation learning to relational databases and data warehouses. This breakthrough technology offers lots of opportunity for impact and raises exciting new research questions. Check out the paper here: relbench.stanford.edu/paper.pdf…
Petar Veličković @PetarV_93
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2K Followers 3K Following I fly close to my man, aim well and then of course he falls down. Pronouns odjebi/odjebiteExcited to present perturb-seq-in-the-loop in #RECOMB2024 next Tuesday at 2pm!! Looking forward to being back in Boston!
1/🧵Introducing Perturb-seq-in-the-loop: a sequential experimental design strategy for perturbation screens guided by multimodal priors, with 3X speedup over state-of-the-art active learning methods! With amazing @_romain_lopez_ @jchuetter Taka Kudo @antonio_science Aviv Regev
What a way to start the day! Kumo.AI has just been recognized by @Forbes as one of the top AI companies in the world. It feels surreal to be ranked alongside giants like @OpenAI and @AnthropicAI. I couldn't be prouder to be part of the @Kumo_ai_team and the AI…
🚀🎉 Excited to announce 🌟 PyTorch Frame 🌟 - our new open-source initiative in PyTorch! Dive into multi-modal tabular deep learning like never before! Link: github.com/pyg-team/pytor… #PyTorch #OpenSource (1/6)
Check out our PyTorch Frame tech report arxiv.org/abs/2404.00776 We aim to push tabular deep learning to handle complex multi-modal, multi-tabular data, beyond conventional single-tabular data. We do so by seamlessly integrating PyTorch Frame with LLMs and Graph Neural Nets!
🚀🎉 Excited to announce 🌟 PyTorch Frame 🌟 - our new open-source initiative in PyTorch! Dive into multi-modal tabular deep learning like never before! Link: github.com/pyg-team/pytor… #PyTorch #OpenSource (1/6)
From @YanayRosen and @jure : A foundation model that universally maps cells across tissues and species! Learn more at : github.com/snap-stanford/…
Talk by @YanayRosen on Universal Cell Embeddings - a foundation model for cell biology #singlecellgenomicsday
Excited to share our PlaNet 🌏method that reasons over population variability, disease biology, and drug chemistry using a massive clinical knowledge graph. We apply PlaNet to predict outcomes of clinical trials. w/ @michiyasunaga @agrwalprabhat @jure medrxiv.org/content/10.110…
#ASEF organized an orientation meeting for brilliant young minds of Slovenian heritage living abroad who will do a #researchvisit in Slovenia in 2024. The session was led by Dr. Andrej Košmrlj. Soon we will reveal their names. Follow us to find out who they are! @uradslovenci
🎉 Meet 𝗔𝗱𝗿𝗶𝗮́𝗻 𝗥𝘂𝗶𝘇 𝗠𝗶𝗮𝗻𝗼𝘃𝗶𝗰𝗵, ASEF stipendist who was in Slovenia as part of a 10-week research program under the ASEF initiative. 🎉
Discover newest #PyTorchGeometric release WEBINAR: PyG 2.5 -Distributed Training of GNNs! 🗓️Weds, Mar 6th 🕔5pm CET/ 8am PST Learn cutting-edge distributed #GraphNeuralNetworks training solution for latest @intel #Xeon platforms Register: hubs.ly/Q02mP5KJ0
Incredibly thrilled to be named an AI2050 Early Career Fellow by Schmidt Sciences. schmidtsciences.org/ai2050-early-c… This award will help accelerate our research on evaluating and enhancing the trustworthiness of generative AI tools, and bridging the gaps between AI policy and research.…
I am honored to have been named to this award. But it was really won by my students & postdocs. I feel so lucky to have the chance to work with such a great set of people over my career. I’m not done yet as it is super fun to watch students develop and grow into great leaders.
👏👏👏 Lifetime Research Award: * Susanne Bødker - Aarhus University, Denmark @professorBodker * Jodi Forlizzi - Carnegie Mellon University, USA @mizjodi * James Landay - Stanford University, USA @landay * Wendy Mackay - INRIA, France 2/6 🧵
@StanfordHCI's own @landay wins a SIGCHI Lifetime Research Award, the highest career award in HCI. Congratulations, James!!!
🥳👏👏Congratulations to the 2024 ACM #SIGCHI awardees! We recognize 13 SIGCHI members receiving lifetime research and practice, societal impact, and outstanding dissertation awards, as well as 10 being inducted into the SIGCHI Academy! medium.com/sigchi/announc… 1/6🧵
Podelili smo diplome #štipendistomASEF generacije 2022 v okviru #TutorstvaASEF. Štipendiste je nagovorila tudi britanska ambasadorka Tiffany Sadler. Več o dogodku si preberite na spodnji povezavi👇 asef.net/sl/event/podel…
🇺🇸JON STEWART TO TUCKER: “YOU ARE SUCH A DICK” Tucker in Russian Supermarket: “So the shopping cart is free, but there is an incentive to return it and not just bring it to your homeless encampment.” Jon: "Really, truly a dick. I didn't realize America's entire homeless problem…
Our 🪐SATURN method is now out in @naturemethods! SATURN paves the way for universal cell embeddings, enabling integration of datasets across different species 🐒🐁🧍🐟🐸 Using protein language models, we encode biological meaning of genes in scRNA-seq datasets.
SATURN performs cross-species integration and analysis using both single-cell gene expression and protein representations generated by protein language models. @jure @YanayRosen @mariabrbic @yusufroohani nature.com/articles/s4159…
Excited to share our annual review on 🔥 research in AI for science from 2023!
🚀 Exciting News! Our blog “AI for Science in 2023: A Community Primer” is now live! In this blog, we delve into how AI intersects with various scientific fields - from Chemistry, Biology, Physics, Computer/Math. Science, Neuroscience to Earth Science. medium.com/@AI_for_Scienc…
Excited to contribute to the @NEJM_AI editorial board! Look forward to reading your latest and greatest works in #AI, medicine and healthcare📜
Dr. @james_y_zou is an Assistant Professor of Biomedical Data Science @Stanford. He works on both improving the foundations of machine learning–by making models more trustworthy and reliable–as well as in-depth scientific and clinical applications.
Congratulations to @StanfordAILab Director @chrmanning, awarded the 2024 IEEE John von Neumann Medal, one of @IEEEAwards’s top awards “for outstanding achievements in computer-related science and technology”, for his advances in #NLProc. corporate-awards.ieee.org/recipient/chri…
We used #GPT4 to greatly simplify medical consent forms for patients in new @NEJM_AI paper ai.nejm.org/stoken/default… Our #LLM simplified forms are now used in the largest health system in Rhode Island. Medical documents like consent forms are often hard to understand--great use…
Happy New Year from ASEF! 🎆 We are entering the year 2024 with gratitude for past successes and openness to new challenges we may face on our path. We wish the coming year to be full of inspiring moments, enriched with new insights, experiences and connections between us.🎉