Viacheslav Borovitskiy
@vabor112
Assistant Professor in Machine Learning @EdinburghUni. PhD in Mathematics. Ex @ETH_en. Also on ๐ฆ: @vabor112.bsky.social
Geometric Probabilistic Models by Viacheslav Borovitskiy (@vabor112) at #ProbAI School 2025. #ProbabilisticAI
Presenting today at #ICLR2025! Poster session 1, 10:00-12:30, #427. Oral Session 2F 16:18-16:30. iclr.cc/virtual/2025/pโฆ
Excited to share our ICLR 2025 oral โResidual Deep Gaussian Processes on Manifoldsโ! Together with @vabor112 & @arkrause, we introduce manifold-to-manifold GPs that can be composed together, generalising deep GPs to manifolds. With applications to wind prediction & Bayes opt! 1/n
Excited to be a part of ProbAI 2025!
โGeometric Probabilistic Modelsโ with Viacheslav Borovitskiy (@vabor112) at #ProbAI 2025.
Have you recently worked on a cool topic ๐ and now you think it is time to teach it to the whole #UAI2025 community ๐ฃ๏ธ? If so, submit a proposal to give a #Tutorial in #Rio ๐ง๐ท! ๐ auai.org/uai2025/call_fโฆ ๐ deadline: Apr 14, 2025
Weโre actively hiring ML Engineers & Applied AI Scientists at @prior_labs to build the future of foundation models for structured data! Weโre pushing the boundaries of AI with foundation models that understand structured dataโan untapped AI frontier powering science, finance,โฆ
Amazingly, Kacper did the bulk of the work for this ICLR oral as his undergrad thesis ๐ช
Excited to share our ICLR 2025 oral โResidual Deep Gaussian Processes on Manifoldsโ! Together with @vabor112 & @arkrause, we introduce manifold-to-manifold GPs that can be composed together, generalising deep GPs to manifolds. With applications to wind prediction & Bayes opt! 1/n
Excited to share our ICLR 2025 oral โResidual Deep Gaussian Processes on Manifoldsโ! Together with @vabor112 & @arkrause, we introduce manifold-to-manifold GPs that can be composed together, generalising deep GPs to manifolds. With applications to wind prediction & Bayes opt! 1/n
๐ Looking for my first #PhD student ๐๐ญ ๐๐ฆ๐ฉ๐๐ซ๐ข๐๐ฅ ๐ฌ Project: ๐๐ฆ๐ฉ๐๐๐ญ ๐จ๐ ๐๐ง๐ฏ๐ข๐ซ๐จ๐ง๐ฆ๐๐ง๐ญ๐๐ฅ, ๐ฏ๐ข๐ซ๐๐ฅ, ๐๐๐ก๐๐ฏ๐ข๐จ๐ฎ๐ซ๐๐ฅ & ๐ฉ๐ฌ๐ฒ๐๐ก๐จ-๐ฌ๐จ๐๐ข๐๐ฅ ๐๐ฑ๐ฉ๐จ๐ฌ๐ฎ๐ซ๐๐ฌ ๐จ๐ง ๐ก๐๐๐ฅ๐ญ๐ก ๐ ๐๐๐๐๐ฅ๐ข๐ง๐: 7 March 2024