Professor at University of Fribourg
While geometry & topology may not save the world, they may well save something that is homotopy-equivalent to it.
🏠 https://bastian.rieck.me/
🏫 https://aidos.group
Our pooling methods perform well across tasks and…
🏆 …reach top classification and regression performance.
🔥 …retain this robust performance across pooling ratios.
✨ …preserve graph structure and spectral properties
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Our pooling methods perform well across tasks and…
🏆 …reach top classification and regression performance.
🔥 …retain this robust performance across pooling ratios.
✨ …preserve graph structure and spectral properties
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🔍 We contract the most redundant edges that are least relevant for the graph’s structural diversity as measured by the magnitude or spread of a graph.
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🔍 We contract the most redundant edges that are least relevant for the graph’s structural diversity as measured by the magnitude or spread of a graph.
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🔮Our methods, MagEdgePool and SpreadEdgePool, faithfully preserve the original graphs’ geometry.
Alternative pooling layers destroy graph structure to varying extents.
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🔮Our methods, MagEdgePool and SpreadEdgePool, faithfully preserve the original graphs’ geometry.
Alternative pooling layers destroy graph structure to varying extents.
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In our #NeurIPS2025 paper we propose geometry-aware edge-contraction-based pooling methods for GNNs.
Our methods preserve graph structure, make interpretable pooling choices, and ensure robust performance at downstream tasks.
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In our #NeurIPS2025 paper we propose geometry-aware edge-contraction-based pooling methods for GNNs.
Our methods preserve graph structure, make interpretable pooling choices, and ensure robust performance at downstream tasks.
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In our #NeurIPS2025 paper "Less is More: Local Intrinsic Dimensions of Contextual Language Models," we study how the local intrinsic dimension (LID) of embeddings changes during training and fine-tuning.
#research
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In our #NeurIPS2025 paper "Less is More: Local Intrinsic Dimensions of Contextual Language Models," we study how the local intrinsic dimension (LID) of embeddings changes during training and fine-tuning.
#research
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Another Topological Deep Learning success story, coming soon to #NeurIPS2025!
🖥️ github.com/aidos-lab/in...
📜 arxiv.org/pdf/2410.18987
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Another Topological Deep Learning success story, coming soon to #NeurIPS2025!
🖥️ github.com/aidos-lab/in...
📜 arxiv.org/pdf/2410.18987
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In which I, somewhat coherently, try to contribute to the whole "Is AI Conscious" debate.
🔗 bastian.rieck.me/blog/2025/co...
#AI #MachineLearning
In which I, somewhat coherently, try to contribute to the whole "Is AI Conscious" debate.
🔗 bastian.rieck.me/blog/2025/co...
#AI #MachineLearning
…and it's not a niche perspective, thanks to a lot of great work by the community!
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…and it's not a niche perspective, thanks to a lot of great work by the community!
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"Given enough data, the model will learn everything."
But as LLMs hit diminishing returns (bough with even more GPUs!), this belief is being challenged.
I'm not the only one who posits that inductive biases remain important.
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"Given enough data, the model will learn everything."
But as LLMs hit diminishing returns (bough with even more GPUs!), this belief is being challenged.
I'm not the only one who posits that inductive biases remain important.
🧵2/5
"What if the answer to some problems in graph learning is not more, but better structure?"
This is the central premise of my talk @logml.bsky.social and @unireps.bsky.social.
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"What if the answer to some problems in graph learning is not more, but better structure?"
This is the central premise of my talk @logml.bsky.social and @unireps.bsky.social.
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Kerning. Once you know about it, your enjoyment of public signage will be ruined forever.
en.wikipedia.org/wiki/Kerning
Kerning. Once you know about it, your enjoyment of public signage will be ruined forever.
en.wikipedia.org/wiki/Kerning
Let's bring them together!
👉The Euler Characteristic Transform (ECT) bridges both worlds, as I outline in a recent article in the Notices of the
@amermathsoc.bsky.social
Engage!
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Let's bring them together!
👉The Euler Characteristic Transform (ECT) bridges both worlds, as I outline in a recent article in the Notices of the
@amermathsoc.bsky.social
Engage!
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#AcademicSky
Source: www.mdpi.com/1996-1944/17...
#AcademicSky
Source: www.mdpi.com/1996-1944/17...
aidos.group
Check out our research directions and some of the things we have been up to these days!
#Academia #MachineLearning
aidos.group
Check out our research directions and some of the things we have been up to these days!
#Academia #MachineLearning
Still open for submissions about applied #topology (broadly interpreted)!
Check out the CfP here:
👉 comptag.github.io/atmcs11/call... 👈
Still open for submissions about applied #topology (broadly interpreted)!
Check out the CfP here:
👉 comptag.github.io/atmcs11/call... 👈
Thanks to everyone who supported me, in particular my great team (aidos.group), my equally great collaborators, and everyone else who brought their offerings to the fickle fates of academia!
#Academia #Tenure
Thanks to everyone who supported me, in particular my great team (aidos.group), my equally great collaborators, and everyone else who brought their offerings to the fickle fates of academia!
#Academia #Tenure
Happy Holidays and best of luck for your papers!
@iclr-conf.bsky.social
Happy Holidays and best of luck for your papers!
@iclr-conf.bsky.social
If you followed me from the 'other place' but I did not follow you back, let me know! The notifications here are sometimes a bit much...
If you followed me from the 'other place' but I did not follow you back, let me know! The notifications here are sometimes a bit much...