Marten Lienen
@martenlienen.bsky.social
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...
Learn more at our #ICML poster: Thu 11am E-2409
Paper: openreview.net/forum?id=U8G...
Code: github.com/martenlienen...
July 14, 2025 at 3:56 PM
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...
Learn more at our #ICML poster: Thu 11am E-2409
Paper: openreview.net/forum?id=U8G...
Code: github.com/martenlienen...
Reposted by Marten Lienen
BioEmu now published in @science.org !!
What is BioEmu? Check out this video:
youtu.be/LStKhWcL0VE?...
What is BioEmu? Check out this video:
youtu.be/LStKhWcL0VE?...
July 10, 2025 at 6:57 PM
BioEmu now published in @science.org !!
What is BioEmu? Check out this video:
youtu.be/LStKhWcL0VE?...
What is BioEmu? Check out this video:
youtu.be/LStKhWcL0VE?...
Reposted by Marten Lienen
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
arxiv.org/abs/2504.06087
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...
arxiv.org
April 9, 2025 at 9:30 AM
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
arxiv.org/abs/2504.06087
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
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
March 22, 2025 at 11:44 AM
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
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
