Daniel Kressner retweeted
This is a super exciting time for science, and EPFL is growing.
Multiple faculty openings in areas I’m especially excited about:
• Computer science — broad search
• Security & privacy
• Mathematics of learning
• Ethics of technology — including alignment & algorithmic bias
Please consider applying, and help us spread the word! 👇
Daniel Kressner retweeted
Open tenure-track professorship in Tübingen on theoretical solid-state physics (correlated quantum phenomena)
quantiki.org/position/junior…
Deadline: September 27
GPT-5.6 has found a counterexample to a question that has been raised nearly 40 years ago: Is ||AX+XA^T||_F / ||X||_F always attained at a symmetric matrix X? arxiv.org/abs/2608.20875
Daniel Kressner retweeted
Microconferences: A modest proposal for alternative systems to generate, evaluate, and share knowledge. argmin.net/p/microconference…
Ever wondered how to solve a real skew-symmetric or orthogonal eigenvalue problem? There is now a new solver based on simple ingredients! arxiv.org/abs/2608.12153
New preprint with Zvonimir Bujanović and Hrvoje Olić on Stochastic trace estimation with tensor train random vectors arxiv.org/abs/2606.15679
Daniel Kressner retweeted
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…
Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop arxiv.org/abs/2602.05394
Finally out: Speeding up Dynamical Low-Rank Approximation with Discrete Empirical Interpolation arxiv.org/abs/2510.19518
Daniel Kressner retweeted
We are currently welcoming applications for postdoctoral-level research fellowships in our Fall 2026 programs. Apply by November 15!
simons.berkeley.edu/research…
Daniel Kressner retweeted
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
New preprint with Alice Cortinovis with some of the best (probabilistic) bounds for DEIM et al.
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
Daniel Kressner retweeted
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…
Daniel Kressner retweeted
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
Bringing randomized low-rank approximation to time-dependent problems...
Hei Yin Lam, Gianluca Ceruti, Daniel Kressner: Randomized low-rank Runge-Kutta methods arxiv.org/abs/2409.06384 arxiv.org/pdf/2409.06384
Daniel Kressner retweeted
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
