Linus Ericsson (@sillinuss) header
Linus Ericsson (@sillinuss) profile picture

Assistant Professor in AI & ML at The University of Glasgow

Glasgow, Scotland
Joined October 2013
Photo by Linus Ericsson (@sillinuss)Photo by Linus Ericsson (@sillinuss)Photo by Linus Ericsson (@sillinuss)Photo by Linus Ericsson (@sillinuss)Photo by Linus Ericsson (@sillinuss)Photo by Linus Ericsson (@sillinuss)Photo by Linus Ericsson (@sillinuss)Photo by Linus Ericsson (@sillinuss)Photo by Linus Ericsson (@sillinuss)Photo by Linus Ericsson (@sillinuss)
Can your NAS pipeline handle datasets it has never seen before? We’re officially inviting the ML community to the NAS Unseen Data Competition. Website: nascompetition.com/ Winners will be celebrated at the AutoML 2026 conference in Ljubljana! @automl_conf
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Linus Ericsson retweeted
Check out our new work on NAS search spaces! We have created einspace, a new expressive search space that unifies many architectural families, including convnets, transformers and mlp-only architectures. paper: arxiv.org/abs/2405.20838 project page: linusericsson.github.io/eins…
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This work was done at the University of Edinburgh with collaborators Miguel Espinosa, @CYang51746374, @AntreasAntonio, @AmosStorkey, Shay B. Cohen, @steve_mcdonagh and Elliot J. Crowley. @SchoolOfEng_UoE , @InfAtEd
Check out our new work on NAS search spaces! We have created einspace, a new expressive search space that unifies many architectural families, including convnets, transformers and mlp-only architectures. paper: arxiv.org/abs/2405.20838 project page: linusericsson.github.io/eins…
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Thanks to Elliot, Steven and Antreas in particular for forming the early stages of the idea and Shay for help formulating the CFG!
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Our space is based on a parameterised probabilistic context-free grammar. Through its recursively defined production rules, it's able to generate architectures that are arbitrarily wide and deep, containing branching and routing operations in addition to parameterised layers.
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In our experiments we find new cool architectures as well as improvements on existing ones across a range of diverse datasets from the Unseen NAS suite. Here is an example of the wild (and high-performing) things einspace can generate. code: github.com/linusericsson/ein…
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Check out our new work on NAS search spaces! We have created einspace, a new expressive search space that unifies many architectural families, including convnets, transformers and mlp-only architectures. paper: arxiv.org/abs/2405.20838 project page: linusericsson.github.io/eins…
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Linus Ericsson retweeted
🚨 MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection A new strategy to mitigate memorization in Diffusion models Arxiv: arxiv.org/abs/2405.19458 Work done with @SnchzPedro_ @OBohdal @STsaftaris @tmh31 @BioMedAI_CDT 🧵👇
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