Marten Lienen
@martenlienen.bsky.social
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ML research @ TUM
https://martenlienen.com
Real data is noisy but HiPPO assumes it's clean. Our UnHiPPO initialization resists noise with implicit Kalman filtering and makes SSMs robust without architecture changes. Learn more at our
#ICML
poster: Thu 11am E-2409 Paper:
openreview.net/forum?id=U8G...
Code:
github.com/martenlienen...
3 months ago
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Marten Lienen
Frank Noe
3 months ago
BioEmu now published in
@science.org
!! What is BioEmu? Check out this video:
youtu.be/LStKhWcL0VE?...
add a skeleton here at some point
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reposted by
Marten Lienen
Nicholas Gao
6 months ago
I am truly excited to share our latest work with
@mscherbela.bsky.social
, Philipp Grohs, and @guennemann on "Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems"!
arxiv.org/abs/2504.06087
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Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
We present finite-range embeddings (FiRE), a novel wave function ansatz for accurate large-scale ab-initio electronic structure calculations. Compared to contemporary neural-network wave functions, Fi...
https://arxiv.org/abs/2504.06087
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martenlienen.com/blog/what-is...
A summary of my basic understanding of SDEs, Ito and Stratonovich integrals that I gathered from the great book Applied Stochastic Differential Equations
#math
#machinelearning
7 months ago
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I just asked
#gemini
2.0 flash thinking to do some
#math
for me and this is the first time that I have seen an
#LLM
refer to its own thought process / thinking tokens without "realizing" that I would not see those.
7 months ago
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