Tim Weiland
@timwei.land
PhD student @ ELLIS, IMPRS-IS.
Working on physics-informed ML and probabilistic numerics at Philipp Hennig's group in Tübingen.
https://timwei.land
Working on physics-informed ML and probabilistic numerics at Philipp Hennig's group in Tübingen.
https://timwei.land
Pinned
Tim Weiland
@timwei.land
· Mar 17
⚙️ Want to simulate physics under uncertainty, at FEM accuracy, without much computational overhead?
Read on to learn about the exciting interplay of stochastic PDEs, Markov structures and sparse linear algebra that make it possible... 🧵 1/8
Read on to learn about the exciting interplay of stochastic PDEs, Markov structures and sparse linear algebra that make it possible... 🧵 1/8
Reposted by Tim Weiland
We've written a monograph on Gaussian processes and reproducing kernel methods (with @philipphennig.bsky.social, @sejdino.bsky.social and Bharath Sriperumbudur).
arxiv.org/abs/2506.17366
arxiv.org/abs/2506.17366
Gaussian Processes and Reproducing Kernels: Connections and Equivalences
This monograph studies the relations between two approaches using positive definite kernels: probabilistic methods using Gaussian processes, and non-probabilistic methods using reproducing kernel Hilb...
arxiv.org
June 24, 2025 at 8:35 AM
We've written a monograph on Gaussian processes and reproducing kernel methods (with @philipphennig.bsky.social, @sejdino.bsky.social and Bharath Sriperumbudur).
arxiv.org/abs/2506.17366
arxiv.org/abs/2506.17366
Reposted by Tim Weiland
Tired of your open-source ML work not getting the academic recognition it deserves? 🤔 Submit to the first-ever CodeML workshop at #ICML2025! It focuses on new libraries, improvements to established ones, best practices, retrospectives, and more.
codeml-workshop.github.io/codeml2025/
codeml-workshop.github.io/codeml2025/
CODEML Workshop
Championing Open-source Development in Machine Learning.
codeml-workshop.github.io
April 16, 2025 at 10:15 AM
Tired of your open-source ML work not getting the academic recognition it deserves? 🤔 Submit to the first-ever CodeML workshop at #ICML2025! It focuses on new libraries, improvements to established ones, best practices, retrospectives, and more.
codeml-workshop.github.io/codeml2025/
codeml-workshop.github.io/codeml2025/
Reposted by Tim Weiland
You’ve probably heard about how AI/LLMs can solve Math Olympiad problems ( deepmind.google/discover/blo... ).
So naturally, some people put it to the test — hours after the 2025 US Math Olympiad problems were released.
The result: They all sucked!
So naturally, some people put it to the test — hours after the 2025 US Math Olympiad problems were released.
The result: They all sucked!
March 31, 2025 at 8:33 PM
You’ve probably heard about how AI/LLMs can solve Math Olympiad problems ( deepmind.google/discover/blo... ).
So naturally, some people put it to the test — hours after the 2025 US Math Olympiad problems were released.
The result: They all sucked!
So naturally, some people put it to the test — hours after the 2025 US Math Olympiad problems were released.
The result: They all sucked!
⚙️ Want to simulate physics under uncertainty, at FEM accuracy, without much computational overhead?
Read on to learn about the exciting interplay of stochastic PDEs, Markov structures and sparse linear algebra that make it possible... 🧵 1/8
Read on to learn about the exciting interplay of stochastic PDEs, Markov structures and sparse linear algebra that make it possible... 🧵 1/8
March 17, 2025 at 12:25 PM
⚙️ Want to simulate physics under uncertainty, at FEM accuracy, without much computational overhead?
Read on to learn about the exciting interplay of stochastic PDEs, Markov structures and sparse linear algebra that make it possible... 🧵 1/8
Read on to learn about the exciting interplay of stochastic PDEs, Markov structures and sparse linear algebra that make it possible... 🧵 1/8
Reposted by Tim Weiland
The submission site for ProbNum 2025 is now open! The deadline is March 5th. We welcome your beautiful work on probabilistic numerics and related areas!
probnum25.github.io/submissions
probnum25.github.io/submissions
February 11, 2025 at 10:28 AM
The submission site for ProbNum 2025 is now open! The deadline is March 5th. We welcome your beautiful work on probabilistic numerics and related areas!
probnum25.github.io/submissions
probnum25.github.io/submissions
Amazing work! A big physics-informed ML dataset with actually relevant problems, created in cooperation with domain experts. It‘s time to finally move on from 1D Burgers‘ equations 🚀
Generating cat videos is nice, but what if you could tackle real scientific problems with the same methods? 🧪🌌
Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology.
🐙: github.com/PolymathicAI...
📜: openreview.net/pdf?id=00Sx5...
Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology.
🐙: github.com/PolymathicAI...
📜: openreview.net/pdf?id=00Sx5...
December 3, 2024 at 8:37 AM
Amazing work! A big physics-informed ML dataset with actually relevant problems, created in cooperation with domain experts. It‘s time to finally move on from 1D Burgers‘ equations 🚀