Tootfinder

Wow! Check out this music portfolio from @… - #Listen #NowPlaying

Nonlinear Control of a Quadrotor UAV Using Backstepping-Based Sliding Mode Technique
Thien Nhan Vo
https://arxiv.org/abs/2506.14195 https://

Nonlinear Control of a Quadrotor UAV Using Backstepping-Based Sliding Mode Technique
This paper presents the development of a sliding mode controller using the backstepping approach. The controller is employed to synthesize tracking errors and Lyapunov functions. A novel state-space representation is formulated by incorporating the dynamics of the quadrotor and accounting for non-holonomic constraints. The proposed sliding mode controller effectively addresses system nonlinearities and improves tracking of predefined trajectories. Simulation results are presented graphically to…

Challenges in GenAI and Authentication: a scoping review
Wesley dos Reis Bezerra, Lais Machado Bezerra, Carlos Becker Westphall
https://arxiv.org/abs/2507.11775

Challenges in GenAI and Authentication: a scoping review
Authentication and authenticity have been a security challenge since the beginning of information sharing, especially in the context of digital information. With the advancement of generative artificial intelligence, these challenges have evolved, demanding a more up-to-date analysis of their impacts on society and system security. This work presents a scoping review that analyzed 88 documents from the IEEExplorer, Scopus, and ACM databases, promoting an analysis of the resulting portfolio thro…

I’m still confused as to why protobuf and gRPC are so highly downloaded in the NuGet stats. I can’t imagine they’ve gotten that wide of an adoption in the #dotnet space, but maybe I'm wrong.
Are you folks using gRPC?

Kernel Learning for Mean-Variance Trading Strategies
Owen Futter, Nicola Muca Cirone, Blanka Horvath
https://arxiv.org/abs/2507.10701 https://

Kernel Learning for Mean-Variance Trading Strategies
In this article, we develop a kernel-based framework for constructing dynamic, pathdependent trading strategies under a mean-variance optimisation criterion. Building on the theoretical results of (Muca Cirone and Salvi, 2025), we parameterise trading strategies as functions in a reproducing kernel Hilbert space (RKHS), enabling a flexible and non-Markovian approach to optimal portfolio problems. We compare this with the signature-based framework of (Futter, Horvath, Wiese, 2023) and demonstrat…

Ekte folkestyre skapes ikke gjennom en republikk, men gjennom arbeiderklassen selv og de lokale fellesskapene.
Jeg nekter å la noen sitte over meg og bestemme på mine vegne.
https://peertube.wtf/w/4yTcuoCJvRKBbSj7cPB2Qg
Les mer her:

Self-supervised Learning of Latent Space Dynamics
Yue Li, Gene Wei-Chin Lin, Egor Larionov, Aljaz Bozic, Doug Roble, Ladislav Kavan, Stelian Coros, Bernhard Thomaszewski, Tuur Stuyck, Hsiao-yu Chen
https://arxiv.org/abs/2507.07440

Self-supervised Learning of Latent Space Dynamics
Modeling the dynamic behavior of deformable objects is crucial for creating realistic digital worlds. While conventional simulations produce high-quality motions, their computational costs are often prohibitive. Subspace simulation techniques address this challenge by restricting deformations to a lower-dimensional space, improving performance while maintaining visually compelling results. However, even subspace methods struggle to meet the stringent performance demands of portable devices such…

DiOMP-Offloading: Toward Portable Distributed Heterogeneous OpenMP
Baodi Shan, Mauricio Arayr-Polo, Barbara Chapman
https://arxiv.org/abs/2506.02486 https:…

DiOMP-Offloading: Toward Portable Distributed Heterogeneous OpenMP
As core counts and heterogeneity rise in HPC, traditional hybrid programming models face challenges in managing distributed GPU memory and ensuring portability. This paper presents DiOMP, a distributed OpenMP framework that unifies OpenMP target offloading with the Partitioned Global Address Space (PGAS) model. Built atop LLVM/OpenMP and using GASNet-EX or GPI-2 for communication, DiOMP transparently handles global memory, supporting both symmetric and asymmetric GPU allocations. It leverages O…

Remarks on Higgs bundles twisted by a vector bundle
David Alfaya, Indranil Biswas, Pradip Kumar
https://arxiv.org/abs/2506.06573 https://

Remarks on Higgs bundles twisted by a vector bundle
For any V-twisted Higgs bundle on a compact Riemann surface X, where V is a holomorphic vector bundle of rank two on X, there are two associated Higgs bundles on X, twisted by line bundles, which are constructed using a Hecke transformation on V. We characterize all such pairs of Higgs bundles (twisted by line bundles) given by V-twisted Higgs bundles. Using this characterization, we provide a spectral correspondence for the moduli space, identifying V-twisted Higgs bundles with the direct imag…

This channel is an unofficial mirror of Bernadette Banner’s YouTube content. It is not affiliated with or endorsed by Bernadette Banner and may be removed if she requests.
She is one of my favorite creators on YouTube, so I’ve synchronized and published her videos on PeerTube, while the rest is currently being transcoded and should be available by tomorrow!