Tootfinder

Heute haben wir uns die 5 Örtchen von #Cinqueterre nochmal ganz entspannt vom Boot aus angeschaut und dann auch #Portovenere besichtigt. Schaut selbst.

@… Ich fände es ja ganz geil, wenn die Videos der #rp26 nächstes Jahr auf peertube statt auf youtube liegen würden. Ich glaube, die Republica hätte da durchaus Signalwirkung

A developer details how he shipped Context, a native macOS app that was almost 100% built using Claude Code (Indragie Karunaratne/My Portfolio)
https://www.indragie.com/blog/i-shipped-a-macos-app-built-entirely-by-claude-code

I Shipped a macOS App Built Entirely by Claude Code
How I built Context—a native macOS SwiftUI app for debugging MCP servers—almost entirely with Claude Code, and what I learned about building with AI coding agents.

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…

Probably stating the obvious, but for the past 30 years at least, contributing (in any capacity) on opensource projects is an excellent way to network with a global pool of top-tier folks in all the related domains, and to test the limits of your craft, plus all the work you do can be openly shared with any prospective employer. So you aren't 'volunteering' as much as you're building your portfolio in grad school, but with no student fees 😁
#fedihire #lifelonglearning

GPS-DRIFT: Marine Surface Robot Localization using IMU-GPS Fusion and Invariant Filtering
Surya Pratap Singh, Tsimafei Lazouski, Maani Ghaffari
https://arxiv.org/abs/2507.02198

GPS-DRIFT: Marine Surface Robot Localization using IMU-GPS Fusion and Invariant Filtering
This paper presents an extension of the DRIFT invariant state estimation framework, enabling robust fusion of GPS and IMU data for accurate pose and heading estimation. Originally developed for testing and usage on a marine autonomous surface vehicle (ASV), this approach can also be utilized on other mobile systems. Building upon the original proprioceptive only DRIFT algorithm, we develop a symmetry-preserving sensor fusion pipeline utilizing the invariant extended Kalman filter (InEKF) to int…

Optimising cryptocurrency portfolios through stable clustering of price correlation networks
Ruixue Jing, Ryota Kobayashi, Luis Enrique Correa Rocha
https://arxiv.org/abs/2505.24831

Optimising cryptocurrency portfolios through stable clustering of price correlation networks
The emerging cryptocurrency market presents unique challenges for investment due to its unregulated nature and inherent volatility. However, collective price movements can be explored to maximise profits with minimal risk using investment portfolios. In this paper, we develop a technical framework that utilises historical data on daily closing prices and integrates network analysis, price forecasting, and portfolio theory to identify cryptocurrencies for building profitable portfolios under unc…

Planet formation in chemically diverse and evolving discs -- I. Composition of planetary building blocks
E. Pacetti, E. Schisano, D. Turrini, C. P. Dullemond, S. Molinari, C. Walsh, S. Fonte, U. Lebreuilly, R. S. Klessen, P. Hennebelle, S. L. Ivanovski, R. Politi, D. Polychroni, P. Simonetti, L. Testi
https://arxiv.org/abs/2506.…

Planet formation in chemically diverse and evolving discs -- I. Composition of planetary building blocks
Protoplanetary discs are dynamic environments where the interplay between chemical processes and mass transport shapes the composition of gas and dust available for planet formation. We investigate the combined effects of volatile chemistry - including both gas-phase and surface reactions - viscous gas evolution, and radial dust drift on the composition of planetary building blocks. We explore scenarios of chemical inheritance and reset under varying ionisation conditions and for various dust g…

Machine Learning Based Stress Testing Framework for Indian Financial Market Portfolios
Vidya Sagar G, Shifat Ali, Siddhartha P. Chakrabarty
https://arxiv.org/abs/2507.02011

Machine Learning Based Stress Testing Framework for Indian Financial Market Portfolios
This paper presents a machine learning driven framework for sectoral stress testing in the Indian financial market, focusing on financial services, information technology, energy, consumer goods, and pharmaceuticals. Initially, we address the limitations observed in conventional stress testing through dimensionality reduction and latent factor modeling via Principal Component Analysis and Autoencoders. Building on this, we extend the methodology using Variational Autoencoders, which introduces …

This https://arxiv.org/abs/2505.23019 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Stairway to Success: Zero-Shot Floor-Aware Object-Goal Navigation via LLM-Driven Coarse-to-Fine Exploration
Object-Goal Navigation (OGN) remains challenging in real-world, multi-floor environments and under open-vocabulary object descriptions. We observe that most episodes in widely used benchmarks such as HM3D and MP3D involve multi-floor buildings, with many requiring explicit floor transitions. However, existing methods are often limited to single-floor settings or predefined object categories. To address these limitations, we tackle two key challenges: (1) efficient cross-level planning and (2) z…