Marten Lienen

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...

14.07.2025 15:56 — 👍 3    🔁 3    💬 0    📌 0

BioEmu now published in @science.org !!

What is BioEmu? Check out this video:
youtu.be/LStKhWcL0VE?...

10.07.2025 18:57 — 👍 89    🔁 28    💬 6    📌 4

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...

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

09.04.2025 09:30 — 👍 17    🔁 5    💬 1    📌 1

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

22.03.2025 11:44 — 👍 1    🔁 1    💬 0    📌 0

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.

18.03.2025 17:55 — 👍 1    🔁 0    💬 0    📌 0