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Viacheslav Borovitskiy

@vabor112.bsky.social
139 followers 67 following 30 posts

Assistant Professor in Machine Learning @ University of Edinburgh. PhD in Mathematics. Ex ETH Zurich. See vab.im/vacancies

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Viacheslav Borovitskiy @vabor112.bsky.social · 25/05/2026
My first paper with my first PhD student @pedrocvieira.bsky.social just landed on arXiv! 🎉 “Do Deep Ensembles Actually Capture Uncertainty in Graph Neural Networks?” Spoiler alert: the answer is largely no—at least, not much more than a single model does. 🧵👇 📄 arxiv.org/abs/2605.22593
arxiv.org
Do Deep Ensembles Actually Capture Uncertainty in Graph Neural Networks?
While deep ensembles are widely considered to be the default method for uncertainty quantification in deep learning, their effectiveness for graph-structured data is often simply assumed based on succ...
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Viacheslav Borovitskiy @vabor112.bsky.social · 12/03/2026
Happy to share a major milestone: after years of development, we are officially launching Version 1.0 of the GeometricKernels library! To top it off, our accompanying paper has just been published in JMLR (MLOSS)! 🎉 github.com/geometric-ke...
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Viacheslav Borovitskiy @vabor112.bsky.social · 24/10/2025
I am hiring a fully-funded #PhD in #ML to work at the University of Edinburgh on 𝐠𝐞𝐨𝐦𝐞𝐭𝐫𝐢𝐜 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 and 𝐮𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲 𝐪𝐮𝐚𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧. Application deadline: 31 Dec '25. Starts May/Sep '26. Details in the reply. Pls RT and share with anyone interested!
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Viacheslav Borovitskiy @vabor112.bsky.social · 24/04/2025
Presenting today at #ICLR2025! Poster session 1, 10:00-12:30, #427. Oral Session 2F 16:18-16:30. iclr.cc/virtual/2025...
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Viacheslav Borovitskiy @vabor112.bsky.social · 13/02/2025
Amazingly, Kacper did the bulk of the work for this ICLR oral as his undergrad thesis 💪
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Reposted by Viacheslav Borovitskiy
Kacper Wyrwal @wyrwalkacper.bsky.social · 13/02/2025
Excited to share our ICLR 2025 oral "Residual Deep Gaussian Processes on Manifolds"! With @vabor112.bsky.social & @arkrause.bsky.social, we introduce manifold-to-manifold GPs that can be composed together, generalising deep GPs to manifolds. Applications include wind prediction & Bayes opt! 1/n
Schematic illustration of a scalar-valued residual deep GP with L hidden layers. The last layer is a scalar-valued GP on the manifold. If it is not present, the model is manifold-valued. If it is replaced with a Gaussian vector field (GVF), the model is a vector field on the manifold.
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Liza Semenova @liza-semenova.bsky.social · 30/01/2025
🚀 𝐏𝐡𝐃 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐚𝐭 𝐈𝐦𝐩𝐞𝐫𝐢𝐚𝐥 Looking for my first PhD student 🔬 Project: 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥, 𝐯𝐢𝐫𝐚𝐥, 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫𝐚𝐥 & 𝐩𝐬𝐲𝐜𝐡𝐨-𝐬𝐨𝐜𝐢𝐚𝐥 𝐞𝐱𝐩𝐨𝐬𝐮𝐫𝐞𝐬 𝐨𝐧 𝐡𝐞𝐚𝐥𝐭𝐡 Joint with LSHTM & UKHSA See links below. 📅 𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞: 7 March 2024 📩 Questions? DM me! #PhD #HealthEquity #ImperialCollege
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Viacheslav Borovitskiy @vabor112.bsky.social · 29/01/2025
Good news! GeometricKernels now supports the new 𝑯𝒐𝒅𝒈𝒆-𝒄𝒐𝒎𝒑𝒐𝒔𝒊𝒕𝒊𝒐𝒏𝒂𝒍 𝒌𝒆𝒓𝒏𝒆𝒍𝒔 for flow-type data on graphs (thnx Maosheng Yang). Example notebook: geometric-kernels.github.io/GeometricKer.... For the theory behind, see arxiv.org/abs/2310.19450. Some details below.
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Viacheslav Borovitskiy @vabor112.bsky.social · 19/12/2024
Check out the workshop "Uncertainty in multivariate, non-Euclidean, and functional spaces: theory and practice" Where: Isaac Newton Institute, Cambridge When: 6-9 May 2025 Application deadline: 12 Jan 2025. Link in reply (contributed talks/posters are welcome) I will be there!
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Alexander Terenin @avt.im · 14/12/2024
The NeurIPS Workshop on Bayesian Decision-making and Uncertainty has started - our first talk is by @mvdw.bsky.social! Join us at East Meeting Room 8, 15, or online!
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Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 17/11/2024
We are organising the First International Conference on Probabilistic Numerics (ProbNum 2025) at EURECOM in southern France in Sep 2025. Topics: AI, ML, Stat, Sim, and Numerics. Reposts very much appreciated! probnum25.github.io
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