Tootfinder

An artist and their helper

Die sogenannte "Mühlviertler Hasenjagd" fand ich immer schon so schrecklich, weil sich die Bevölkerung an der Jagd nach geflohenen Gefangenen des KZ #Mauthausen beteiligten.
Später heißt es auch im oö Mühlviertel angesprochena auf das #KZ und seine

Podcast »Inside Austria«: Die Menschenjagd (1/2): Im Lager
Im Kriegswinter 1945 jagten Nationalsozialisten und Teile der lokalen Bevölkerung 400 Entflohene des Konzentrationslagers Mauthausen. Doch wenige Menschen widersetzten sich und starteten eine Rettungsaktion. Teil 1 einer dreiteiligen Miniserie über die sogenannte »Mühlviertler Hasenjagd«.

HilbertA: Hilbert Attention for Image Generation with Diffusion Models
Shaoyi Zheng, Wenbo Lu, Yuxuan Xia, Haomin Liu, Shengjie Wang
https://arxiv.org/abs/2509.26538 https://

HilbertA: Hilbert Attention for Image Generation with Diffusion Models
Designing sparse attention for diffusion transformers requires reconciling two-dimensional spatial locality with GPU efficiency, a trade-off that current methods struggle to achieve. Existing approaches enforce two-dimensional spatial locality but often incur uncoalesced memory access. We present HilbertA, a 2D-aware and GPU-efficient sparse attention mechanism. HilbertA reorders image tokens along Hilbert curves to achieve a contiguous memory layout while preserving spatial neighborhoods, and …

Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
Septimus Boshoff, Sebastian Peitz, Stefan Klus
https://arxiv.org/abs/2509.22482 https://ar…

Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
The Koopman operator, as a linear representation of a nonlinear dynamical system, has been attracting attention in many fields of science. Recently, Koopman operator theory has been combined with another concept that is popular in data science: reproducing kernel Hilbert spaces. We follow this thread into Gaussian process methods, and illustrate how these methods can alleviate two pervasive problems with kernel-based Koopman algorithms. The first being sparsity: most kernel methods do not scale…

Guten Morgen Zusammen,
sie hat mich kalt erwischt, die Wintererkältung. Nun bleib ich mal schön zuhause diese Woche. Vielleicht kan ich ja trotzdem ein wenig lesen, gute Bücher wären vorhanden! :-)
Schöne gesunde Woche, packt euch gut ein und tut die kalten feuchten Nasen schneuzen, denn auf halbwarme Geschichten sind Schnupfenviren ganz gamsig :-)!
:coffeepot: 😅 🤧

Suppressing leakage and maintaining robustness in transmon qubits: Signatures of a trade-off relation
Pablo M. Poggi, Anthony Kiely
https://arxiv.org/abs/2509.26247 https://

Suppressing leakage and maintaining robustness in transmon qubits: Signatures of a trade-off relation
We study the problem of optimally generating quantum gates in a logical subspace embedded in a larger Hilbert space, where the dynamics is also affected by unknown static imperfections. This general problem is widespread across various emergent quantum technology architectures. We derive the fidelity susceptibility in the computational subspace as a measure of robustness to perturbations, and define a cost function that quantifies leakage out of the subspace. We tackle both effects using a two-…

PoS-CoPOR: Proof-of-Stake Consensus Protocol with Native Onion Routing Providing Scalability and DoS-Resistance
Ivan Homoliak, Martin Pere\v{s}\'ini, Marek Tama\v{s}kovi\v{c}, Timotej Ponek, Luk\'a\v{s} Hellebrandt, Kamil Malinka
https://arxiv.org/abs/2510.04619

PoS-CoPOR: Proof-of-Stake Consensus Protocol with Native Onion Routing Providing Scalability and DoS-Resistance
Proof-of-Stake (PoS) consensus protocols often face a trade-off between performance and security. Protocols that pre-elect leaders for subsequent rounds are vulnerable to Denial-of-Service (DoS) attacks, which can disrupt the network and compromise liveness. In this work, we present PoS-CoPOR, a single-chain PoS consensus protocol that mitigates this vulnerability by integrating a native onion routing mechanism into the consensus protocol itself. PoS-CoPOR combines stake-weighted probabilistic …

Simplification of nonlinear equations for a field operator
V. I. Lapushkin
https://arxiv.org/abs/2510.06129 https://arxiv.org/pdf/2510.06129

Simplification of nonlinear equations for a field operator
In this paper, we study different properties of the motion equations of interacting fields. In the second section, we prove that "Wightman's" fields (we use only a subset of Wightman's axioms) are unitarily equivalent to some operators on the vector space ${\cal F}$ (with one mathematical assumption). In the third section, we introduce $L^{\infty}$ and $DL$ Hilbert spaces, which are convenient for analyzing field equations, particularly the equations for $ϕ^3$ theory. Remarkably, we have manag…

Bandits roaming Hilbert space
Josep Lumbreras
https://arxiv.org/abs/2509.24569 https://arxiv.org/pdf/2509.24569

Bandits roaming Hilbert space
This thesis studies the exploration and exploitation trade-off in online learning of properties of quantum states using multi-armed bandits. Given streaming access to an unknown quantum state, in each round we select an observable from a set of actions to maximize its expectation value. Using past information, we refine actions to minimize regret; the cumulative gap between current reward and the maximum possible. We derive information-theoretic lower bounds and optimal strategies with matching…

Defending against Stegomalware in Deep Neural Networks with Permutation Symmetry
Birk Torpmann-Hagen, Michael A. Riegler, P{\aa}l Halvorsen, Dag Johansen
https://arxiv.org/abs/2509.20399

Defending against Stegomalware in Deep Neural Networks with Permutation Symmetry
Deep neural networks are being utilized in a growing number of applications, both in production systems and for personal use. Network checkpoints are as a consequence often shared and distributed on various platforms to ease the development process. This work considers the threat of neural network stegomalware, where malware is embedded in neural network checkpoints at a negligible cost to network accuracy. This constitutes a significant security concern, but is nevertheless largely neglected b…