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Daniel Kressner @_kreda_
Joined September 2015
  • Tweets 503
  • Following 214
  • Followers 320
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Daniel Kressner retweeted
Daniel Litt
@littmath
Feb 7
I think the mathematicians interviewed in this article are well-calibrated with respect to the capabilities of publicly available frontier models for math research. nytimes.com/2026/02/07/scien…

These Mathematicians Are Putting A.I. to the Test

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they perform.

nytimes.com
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Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop arxiv.org/abs/2602.05394

Linear Systems and Eigenvalue Problems: Open Questions from a...

This document presents a series of open questions arising in matrix computations, i.e., the numerical solution of linear algebra problems. It is a result of working groups at the workshop Linear...

arxiv.org
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Finally out: Speeding up Dynamical Low-Rank Approximation with Discrete Empirical Interpolation arxiv.org/abs/2510.19518

Interpolatory Dynamical Low-Rank Approximation: Theoretical...

Dynamical low-rank approximation (DLRA) is a widely used paradigm for solving large-scale matrix differential equations, as they arise, for example, from the discretization of time-dependent...

arxiv.org
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Daniel Kressner retweeted
Simons Institute for the Theory of Computing@SimonsInstitute
15 Oct 2025
We are currently welcoming applications for postdoctoral-level research fellowships in our Fall 2026 programs. Apply by November 15! simons.berkeley.edu/research…
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Daniel Kressner retweeted
arXiv math.NA Numerical Analysis@mathNAb
27 Feb 2025
Fabio Matti, Haoze He, Daniel Kressner, Hei Yin Lam: Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation arxiv.org/abs/2502.18626 arxiv.org/pdf/2502.18626 arxiv.org/html/2502.18626
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New preprint with Alice Cortinovis with some of the best (probabilistic) bounds for DEIM et al.
arXiv math.NA Numerical Analysis@mathNAb
19 Dec 2024
Alice Cortinovis, Daniel Kressner: Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation arxiv.org/abs/2412.13992 arxiv.org/pdf/2412.13992
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Daniel Kressner retweeted
Jay Cummings
@LongFormMath
31 Oct 2024
This must be tweeted every Halloween. I don’t make the rules
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Daniel Kressner retweeted
Lester Mackey@LesterMackey
30 Oct 2024
If you're a PhD student interested in interning with me or one of my amazing colleagues at Microsoft Research New England (@MSRNE, @MSFTResearch) this summer, please apply here jobs.careers.microsoft.com/g…

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Daniel Kressner retweeted
Zoe Holmes@qZoeHolmes
25 Sep 2024
We’re looking for a post doc to join us exploring the intersection of quantum chemistry and quantum computing - 2 year position - Based in the QIC group at EPFL (Lausanne) - Collaboration with Roche (Basel) Email me if interested
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Daniel Kressner retweeted
Reviewer 2@GrumpyReviewer2
18 Sep 2024
#AcademicChatter #AcademicX
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Bringing randomized low-rank approximation to time-dependent problems...
arXiv math.NA Numerical Analysis@mathNAb
11 Sep 2024
Hei Yin Lam, Gianluca Ceruti, Daniel Kressner: Randomized low-rank Runge-Kutta methods arxiv.org/abs/2409.06384 arxiv.org/pdf/2409.06384
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Daniel Kressner retweeted
arXiv math.NA Numerical Analysis@mathNAb
30 Aug 2024
Ivan Bioli, Daniel Kressner, Leonardo Robol: Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations arxiv.org/abs/2408.16416 arxiv.org/pdf/2408.16416

Preconditioned Low-Rank Riemannian Optimization for Symmetric...

This work is concerned with the numerical solution of large-scale symmetric positive definite matrix equations of the form $A_1XB_1^\top A_2XB_2^\top \dots A_\ell X B_\ell^\top = F$, as they...

arxiv.org
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Daniel Kressner retweeted
Anthony Bonato
@Anthony_Bonato
1 Sep 2024
Welcome to math grad studies here is your first reading
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Daniel Kressner retweeted
Swiss National Science Foundation@snsf_ch
2 Aug 2024
Ambizione call for projects Ambizione grants are aimed at young researchers who wish to conduct and lead a project of their own. Submission deadline: 01.11.24. If you would like to find out more about this call, take part in our online event on 14.08.24. sohub.io/8u9z

Ambizione

The Swiss National Science Foundation (SNSF) funds excellent research at universities and other institutions.

snf.ch
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Daniel Kressner retweeted
Dr. Lutz Böhm@DrLutzBoehm
31 Jul 2024
Ich brauch Urlaub.
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Daniel Kressner retweeted
Swiss National Science Foundation@snsf_ch
16 Jul 2024
The call for proposals for the “SNSF Swiss Postdoctoral Fellowships 2024” will open on 2 September 2024. 🗓️ Submission deadline: 2 December 2024 📄 The call document is already available on our website: sohub.io/e651 #TransitionalMeasures #HorizonEurope #Research

Swiss Postdoctoral Fellowships

Swiss Postdoctoral Fellowships - Grants for early career researchers.

snf.ch
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Daniel Kressner retweeted
Nako Nakatsuka@AptaWineClub
17 Jul 2024
An amazing opportunity to come and do a postdoc in Switzerland - one of the best decisions I made in my academic career!🇨🇭
Swiss National Science Foundation@snsf_ch
16 Jul 2024
The call for proposals for the “SNSF Swiss Postdoctoral Fellowships 2024” will open on 2 September 2024. 🗓️ Submission deadline: 2 December 2024 📄 The call document is already available on our website: sohub.io/e651 #TransitionalMeasures #HorizonEurope #Research
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Daniel Kressner retweeted
ECM2024 Sevilla@ECM2024Sevilla
15 Jul 2024
Maria Colombo (EPFL) is awarded with the EMS Prize! "For breakthrough results in fluid dynamics, optimal transport and kinetic theory, and for her impact on analysis more broadly."
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Daniel Kressner retweeted
European Mathematical Society@euromathsoc
15 Jul 2024
📣 𝐅𝐨𝐮𝐫𝐭𝐞𝐞𝐧 𝐄𝐮𝐫𝐨𝐩𝐞𝐚𝐧 𝐦𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐢𝐚𝐧𝐬 𝐡𝐚𝐯𝐞 𝐛𝐞𝐞𝐧 𝐚𝐰𝐚𝐫𝐝𝐞𝐝 𝐟𝐨𝐫 𝐭𝐡𝐞𝐢𝐫 𝐨𝐮𝐭𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧𝐬 𝐚𝐭 𝐭𝐡𝐞 @ECM2024Sevilla 📣 ➡️ Overview of the prizes and list of the laureates: bit.ly/9ECM-prizes
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Daniel Kressner retweeted
Ethan Epperly@ethanepperly
2 Jul 2024
New blog post out on the He–Kressner algorithm! ethanepperly.com/index.php/2…

Ethan Epperly@ethanepperly
29 May 2024
An extremely beautiful algorithm for diagonalizing a normal matrix by Haoze He and @_kreda_ : break into Hermitian and skew-Hermitian parts A = H i S, form a Gaussian linear combination B = g_1 A g_2 S, and find Q that diagonalizes B. With probability 1, Q diagonalizes A!
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