Tootfinder

This https://arxiv.org/abs/2405.06089 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
In this paper, we focus on learning a linear time-invariant (LTI) model with low-dimensional latent variables but high-dimensional observations. We provide an algorithm that recovers the high-dimensional features, i.e. column space of the observer, embeds the data into low dimensions and learns the low-dimensional model parameters. Our algorithm enjoys a sample complexity guarantee of order $\tilde{\mathcal{O}}(n/ε^2)$, where $n$ is the observation dimension. We further establish a fundamental…

Real-time Motion Planning for autonomous vehicles in dynamic environments
Mohammad Dehghani Tezerjani, Dominic Carrillo, Deyuan Qu, Sudip Dhakal, Amir Mirzaeinia, Qing Yang
https://arxiv.org/abs/2406.02916

Real-time Motion Planning for autonomous vehicles in dynamic environments
Recent advancements in self-driving car technologies have enabled them to navigate autonomously through various environments. However, one of the critical challenges in autonomous vehicle operation is trajectory planning, especially in dynamic environments with moving obstacles. This research aims to tackle this challenge by proposing a robust algorithm tailored for autonomous cars operating in dynamic environments with moving obstacles. The algorithm introduces two main innovations. Firstly, i…

A small cosmological constant from a large number of extra dimensions
Changjun Gao
https://arxiv.org/abs/2406.03687 https://arxiv.org…

A small cosmological constant from a large number of extra dimensions
In this article, we consider the $4+n$ dimensional spacetimes among which one is the four dimensional physical Universe and the other is an n-dimensional sphere with constant radius in the framework of Lanczos-Lovelock gravity. We find that the curvature of extra dimensional sphere contributes a huge but negative energy density provided that its radius is sufficiently small, such as the scale of Planck length. Therefore, the huge positive vacuum energy, i.e. the large positive cosmological cons…

I hate dynamic linking, dynamic linking can go fuck itself

Feds seize domains linked to crypto investment scam preying on New York’s Russian diaspora https://therecord.media/feds-seize-crypto-scam-domains-brooklyn

Feds seize domains linked to crypto investment scam preying on New York’s Russian diaspora
Investigators discovered a “shared narrative” that lured in victims, including Facebook advertisements for cryptocurrency investments featuring a deepfake video of Elon Musk.

Dynamical phase transitions in two-dimensional Brownian Matter
Nathan O Silvano, Daniel G. Barci
https://arxiv.org/abs/2406.03551 https://

Dynamical phase transitions in two-dimensional Brownian Matter
We investigate a system of two-dimensional interacting Brownian particles at finite density. In the continuum limit, we uncover a hidden symmetry under area-preserving diffeomorphism transformations. This symmetry leads to the conservation of local vorticity. By calculating the generating functional within the saddle-point plus Gaussian fluctuations approximation, we reveal the emergence of a $U(1)$ gauge symmetry. This emergent symmetry enables us to describe the dynamics of density fluctuatio…

Ich schau gerade "Unser Land" im BR.
Das Donaumoos ist wie eine Badewanne, in die das Wasser hinein läuft und die Ernte vernichtet.
Es ist bekannt, daß Moorlandschaft nach Trockenlegung und Bewirtschaftung Volumen verliert. Das Donaumoos ist schon lange unter Bewirtschaftung. Momentan gibt es Förderung dort für eine Wiedervernässeung des Moors. Vielleicht ein Anlaß zum Überdenken und Flucht aus der Bauernverbandshörigkeit?

Real-time Motion Planning for autonomous vehicles in dynamic environments
Mohammad Dehghani Tezerjani, Dominic Carrillo, Deyuan Qu, Sudip Dhakal, Amir Mirzaeinia, Qing Yang
https://arxiv.org/abs/2406.02916

Real-time Motion Planning for autonomous vehicles in dynamic environments
Recent advancements in self-driving car technologies have enabled them to navigate autonomously through various environments. However, one of the critical challenges in autonomous vehicle operation is trajectory planning, especially in dynamic environments with moving obstacles. This research aims to tackle this challenge by proposing a robust algorithm tailored for autonomous cars operating in dynamic environments with moving obstacles. The algorithm introduces two main innovations. Firstly, i…

Model fusion for efficient learning of nonlinear dynamical systems
Vatsal Kedia, Vivek S. Pinnamaraju, Dinesh Patil
https://arxiv.org/abs/2406.03752 https:…

Model fusion for efficient learning of nonlinear dynamical systems
In the context of model-based control of industrial processes, it is a common practice to develop a data-driven linear dynamical model around a specified operating point. However, in applications involving wider operating conditions, representation of the dynamics using a single linear dynamic model is often inadequate, requiring either a nonlinear model or multiple linear models to accommodate the nonlinear behaviour. While the development of the former suffers from the requirements of extensi…

Ringing Thick Braneworld with Finite Extra Dimension
Hai-Long Jia, Wen-Di Guo, Qin Tan, Yu-Xiao Liu
https://arxiv.org/abs/2406.03929 https://

Ringing Thick Braneworld with Finite Extra Dimension
In this work, we investigate the quasinormal modes of the Poincaré thick brane with a finite extra dimension. Unlike the case with an infinite extra dimension, the gravitational effective potential exhibits three distinct shapes within different ranges of the parameter $n$ in the warp factor: harmonic oscillator potential, Pöschl-Teller potential, and volcano-like potential. We then study various types of perturbations in this system. Utilizing a combination of analytical, semi-analytical, an…