Evgeny Saveliev

111 posts

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Evgeny Saveliev

Evgeny Saveliev

@ESSaveliev

Evgeny Saveliev: PhD Student, Machine Learning (DAMTP, University of Cambridge) https://t.co/mj12akrThd

Cambridge, England Katılım Haziran 2016
289 Takip Edilen342 Takipçiler
Evgeny Saveliev
Evgeny Saveliev@ESSaveliev·
@ExperianExperts Just did that and got through to an agent, the line then hanged up after my first response 😔
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Evgeny Saveliev
Evgeny Saveliev@ESSaveliev·
@ExperianExperts I have a paid Credit Expert subscription and am trying to reach an agent by using the Call Us option. After I provide the code etc., the line simply disconnects before I get put through to an agent. What is going on?
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Mihaela van der Schaar
Mihaela van der Schaar@MihaelaVDS·
We’re proud of our latest van der Schaar alumni, now taking on exciting roles: Nabeel Seedat - @thomsonreuters Sam Holt & Hao Sun - @GoogleDeepMind Alan Jeffares - @MistralAI Wishing them every success as they continue shaping the future of #AI!
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Mihaela van der Schaar
Mihaela van der Schaar@MihaelaVDS·
Truly special to see so many current and former members of the van der Schaar Lab at #ICML2025! A fantastic conference — not just for our record paper count, but for the strong sense of community across years and continents. Excited to keep pushing the boundaries of ML!
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Mihaela van der Schaar
Mihaela van der Schaar@MihaelaVDS·
A record number of van der Schaar Lab papers accepted to #ICML2025, placing joint-first among the research groups! None of this would be possible without the energy & dedication of our students, the generosity of our collaborators & the time volunteered by reviewers & organisers.
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Mihaela van der Schaar
Mihaela van der Schaar@MihaelaVDS·
15 van der Schaar Lab papers at #ICML2025 Reality-centric AI: LLM+RL synergy, digital twins, causal alignment, metacognitive agents & more. 1 Spotlight • 1 Oral • 13 Posters All links 👉 beacons.ai/vanderschaarlab #AI #ML
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Mihaela van der Schaar
Mihaela van der Schaar@MihaelaVDS·
I’m tired of telling AI what to do. I want AI that truly helps me do things better! That’s why I’ve written about “Genies”—AI that thinks, learns, and co-creates with us. 1/5
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Evgeny Saveliev
Evgeny Saveliev@ESSaveliev·
@EE Service page also back, after clearing cookies
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Evgeny Saveliev
Evgeny Saveliev@ESSaveliev·
@EE Just reloaded the Manage plans page, it's working for me now. Maybe it was just being weird because my account was just created ✅ The service status page seems down, but that's not as much of an immediate issue
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Evgeny Saveliev
Evgeny Saveliev@ESSaveliev·
@EE what's happening - the Manage page is down in the Account, the service status checker is down, now that's ironic. Just as I am trying to move to EE from @ThreeUK. Not a great first impression 😂
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Mihaela van der Schaar
Mihaela van der Schaar@MihaelaVDS·
Introducing #CliMBDC! This LLM-powered copilot combines data-centric AI tools & advanced reasoning to solve complex data challenges in healthcare research & beyond. CliMB-DC can perform data management & build predictive models using natural language in a single conversation 1/2
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Jeremy Howard
Jeremy Howard@jeremyphoward·
We tried really really hard to make Devin (the coding agent) work for us. But it didn't. Check out Hamel's detailed writeup blog linked below, describing the many tasks of many types we explored, nearly all of which failed. We remain less than bullish on agents...
Hamel Husain@HamelHusain

New post re: Devin (the AI SWE). We couldn't find many reviews of people using it for real tasks, so we went MKBHD mode and put Devin through its paces. We documented our findings here. Would love to know if others have had a different experience. answer.ai/posts/2025-01-…

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Mihaela van der Schaar
Mihaela van der Schaar@MihaelaVDS·
We are excited to release #CliMB, a no-code AI-enabled partner for clinical predictive modelling! This proof of concept is a big step towards breaking barriers and #empowering clinical researchers to build predictive models using cutting-edge tools! More: github.com/vanderschaarla…
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Felix Hill
Felix Hill@FelixHill84·
Since GPT3, we have known that large Transformer language models are effective few-shot learners. But did you know that the nature of language itself makes language particularly rich pre-training data for inducing few-shot learning? 1/n
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Mihaela van der Schaar
Mihaela van der Schaar@MihaelaVDS·
Kicking off Year 5 of our #RevolutionizingHealthcare series with a game-changer: CliMB—a no-code AI/ML partner that empowers clinician scientists to build solid predictive models with an intuitive no-code interface. Missed the session? Watch it here: youtu.be/71DiPxSKThM 📹
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