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Jacopo Teneggi
@JacopoTeneggi
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Computer Science PhD student @JohnsHopkins, MSE @JHUBME (he/him)
Baltimore, MD
Joined June 2022
RT @JHUBME: Celebrating #WomeninScience #February11 Zhenzhen Wang, a #HopkinsBME PhD student co-advised by @Jere_je_je and Prof. Aleksan…
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RT @pocaguirre: PhDone! 🎉 Thanks to everyone who was there along the way, family, friends, colleagues and advisors! Yes, I am a doctor now.…
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RT @JAgterberger: Very excited to share my work with Anru Zhang on tensor data analysis! We study how to do uncertainty quantification for…
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RT @ml_angelopoulos: 📣Announcing the 2024 NeurIPS Workshop on Statistical Frontiers in LLMs and Foundation Models 📣 Submissions open now,…
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RT @ml_angelopoulos: 📈 Online Conformal Prediction with Decaying Step Sizes 📈 Come to the ICML morning poster session, Hall C 4-9 #1414,…
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RT @DrewPrinster: Come learn about: 1) “How to Find” your own #ConformalPrediction Validity Guarantees for Any (non-exchangeable) Data Dist…
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🚨 new paper alert 🚨 Test the importance of concepts you care about for the predictions of a fixed classifier arXiv: 🤗 Space:
Many want to inspect complex AI models to understand what features are important for their predictions, even when these features correspond to abstract concepts. But we also want this to be precise and rigorous. With @JacopoTeneggi we present a way of doing exactly this - thread below! paper: site:
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RT @TeresaNHuang: Thank you Sole for always having the utmost faith in me and the tremendous support throughout my PhD ❤️I am so grateful f…
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RT @SoledadVillar5: Super proud of my first PhD student @TeresaNHuang After her internship at Apple Research NYC this Summer she will joi…
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RT @DrewPrinster: Paper 🧵! w/ @samuel_stanton_ @anqi_liu33 @suchisaria #ICML2024 We study 2 Qs: 1) Can AI uncertai…
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RT @ml_angelopoulos: 🥳Conformal risk control is a spotlight paper at ICLR!💡 Come meet me, @adamjfisch, and @TalSc…
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RT @fang_zhenghan: Presenting at #ICLR2024 with Sam Buchanan @_sdbuchanan and Jere Sulam @Jere_je_je! We present neural networks that exac…
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RT @edoardo_debe: Very excited that this is finally out! Check the thread out to know more about our open benchmark for jailbreak attacks…
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RT @JHUCompSci: Johns Hopkins researchers (featuring Ambar Pal and @Jere_je_je) investigate how #machinelearning classifiers can be made mo…
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RT @ml_angelopoulos: New paper! 🚨 Online conformal w/ guarantees on ✅adversarial sequences (coverage averaged o…
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RT @Jere_je_je: Pretty cool to have our paper ( with @PaulYiMD and @JacopoTeneggi featured on the cover of @Radiolo…
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RT @JHUCompSci: @ramcha1994 and Ambar Pal were chosen for exemplifying outstanding research potential by the @CPALconf community. They'll p…
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