Tootfinder

Multi-objective Portfolio Optimization Via Gradient Descent
Christian Oliva, Pedro R. Ventura, Luis F. Lago-Fern\'andez
https://arxiv.org/abs/2507.16717 https://

Multi-objective Portfolio Optimization Via Gradient Descent
Traditional approaches to portfolio optimization, often rooted in Modern Portfolio Theory and solved via quadratic programming or evolutionary algorithms, struggle with scalability or flexibility, especially in scenarios involving complex constraints, large datasets and/or multiple conflicting objectives. To address these challenges, we introduce a benchmark framework for multi-objective portfolio optimization (MPO) using gradient descent with automatic differentiation. Our method supports any …

SO emission in the dynamically perturbed protoplanetary disks around CQ Tau and MWC 758
Francesco Zagaria, Haochang Jiang, Gianni Cataldi, Stefano Facchini, Myriam Benisty, Yuri Aikawa, Sean Andrews, Jaehan Bae, Marcelo Barraza-Alfaro, Pietro Curone, Ian Czekala, Daniele Fasano, Cassandra Hall, Iain Hammond, Jane Huang, John D. Ilee, Andr\'es F. Izquierdo, Jensen Lawrence, Giuseppe Lodato, Fran\c{c}ois M\'enard, Christophe Pinte, Giovanni P. Rosotti, Jochen Stadler, Richard Tea…

SO emission in the dynamically perturbed protoplanetary disks around CQ Tau and MWC 758
We report the serendipitous detection of the SO $J_N=6_5-5_4$ (219.949 GHz) rotational transition in archival Atacama Large Millimeter/submillimeter Array (ALMA) observations of the spiral hosting protoplanetary disks around CQ Tau (with $\approx4.9σ$ significance) and MWC 758 (with $\approx3.4σ$ significance). In the former, the SO emission comes in the shape of a ring, arises from the edge of the continuum cavity, and is qualitatively consistent, at the currently available spectral resoluti…

Optimal Regulation and Investment Incentives in Financial Networks
Matthew O. Jackson, Agathe Pernoud
https://arxiv.org/abs/2506.16648 https://

Optimal Regulation and Investment Incentives in Financial Networks
We examine optimal regulation of financial networks with debt interdependencies between financial firms. We first characterize when it is firms have an incentive to choose excessively risky portfolios and overly correlate their portfolios with those of their counterparties. We then characterize how optimal regulation depends on a firm's financial centrality and its available investment opportunities. In standard core-periphery networks, optimal regulation depends non-monotonically on the correl…

When a video from #Peertube appears in my feed here in #Mastodon, it only shows the title and the URL, nothing more. This is not really helpful.
Would it be possible, that Mastodon shows something like the first 300 characters from the description (500 characters minus 120 for the peertube …

Variable selection for minimum-variance portfolios
Guilherme V. Moura, Andr\'e P. Santos, Hudson S. Torrent
https://arxiv.org/abs/2508.14986 https://ar…

Variable selection for minimum-variance portfolios
Machine learning (ML) methods have been successfully employed in identifying variables that can predict the equity premium of individual stocks. In this paper, we investigate if ML can also be helpful in selecting variables relevant for optimal portfolio choice. To address this question, we parameterize minimum-variance portfolio weights as a function of a large pool of firm-level characteristics as well as their second-order and cross-product transformations, yielding a total of 4,610 predicto…

Terrestrial Planet Formation from Two Source Reservoirs
David Nesvorny, Alessandro Morbidelli, William F. Bottke, Rogerio Deienno, Max Goldberg
https://arxiv.org/abs/2507.14814

Terrestrial Planet Formation from Two Source Reservoirs
This work describes new dynamical simulations of terrestrial planet formation. The simulations started at the protoplanetary disk stage, when planetesimals formed and accreted into protoplanets, and continued past the late stage of giant impacts. We explored the effect of different parameters, such as the initial radial distribution of planetesimals and Type-I migration of protoplanets, on the final results. In each case, a thousand simulations were completed to characterize the stochastic natu…

Poset-enriched pretoposes and compact ordered spaces
J\'er\'emie Marqu\`es, Luca Reggio
https://arxiv.org/abs/2508.09944 https://arxiv.org/pdf/2508…

Poset-enriched pretoposes and compact ordered spaces
We provide a characterisation of the category $\mathsf{KOrd}$ of Nachbin's compact ordered spaces as a poset-enriched category. Up to equivalence, $\mathsf{KOrd}$ is the only non-degenerate poset-enriched pretopos whose terminal object is a (discrete) generator and in which every object is covered by an order-filtral object. Order-filtral objects satisfy an appropriate form of compactness and separation. Throughout, we make extensive use of the internal language of poset-enriched pretoposes.

Human Motion Capture from Loose and Sparse Inertial Sensors with Garment-aware Diffusion Models
Andela Ilic, Jiaxi Jiang, Paul Streli, Xintong Liu, Christian Holz
https://arxiv.org/abs/2506.15290

Human Motion Capture from Loose and Sparse Inertial Sensors with Garment-aware Diffusion Models
Motion capture using sparse inertial sensors has shown great promise due to its portability and lack of occlusion issues compared to camera-based tracking. Existing approaches typically assume that IMU sensors are tightly attached to the human body. However, this assumption often does not hold in real-world scenarios. In this paper, we present a new task of full-body human pose estimation using sparse, loosely attached IMU sensors. To solve this task, we simulate IMU recordings from an existing…

Next-generation soliton frequency combs in photonic-crystal and nanocomposite microresonators
Haixin Liu, Alexa Carollo, Jizhao Zang, Scott B. Papp
https://arxiv.org/abs/2508.13393

Next-generation soliton frequency combs in photonic-crystal and nanocomposite microresonators
Microresonator frequency combs offer tremendous opportunity to advance applications in fundamental research and technology by linking the optical and microwave frequency domains. Kerr-nonlinear microresonators further enable the generation of portable, integrated optical frequency combs, which are called microcombs. However, the dispersion engineering usually suffers from the small, geometric parameter space, and achieving soliton microcombs is challenging and usually requires complicated exper…

Arbitrary high-fidelity binomial codes from multiphoton spin-boson interactions
Pradip Laha, Peter van Loock
https://arxiv.org/abs/2507.08585 https://

Arbitrary high-fidelity binomial codes from multiphoton spin-boson interactions
Encoding a qubit in the continuous degrees of freedom of a quantum system, such as bosonic modes, is a powerful alternative to modern quantum error correction (QEC). Among the most prominent bosonic QEC codes, binomial codes provide protection against loss and dephasing errors by encoding logical states in superpositions of Fock states with binomially weighted coefficients. While much attention has been given to their error-correcting capabilities and integration into fault-tolerant architectur…