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Information Networks of Stock Prices
arXiv:2606.07450v1 Announce Type: new Abstract: The collective movement of stock prices harbors complex interdependencies that are conventionally simplified only through a linear lens. This paper explores computed structural network representations in the Indonesian capital market by testing the limits of Pearson correlation and Mutual Information (MI) in unveiling the spectral dynamics of the market. Across 2,328 rolling observation windows from 2015 to 2025, we examine 24 methodological...
Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing
Announce Type: new Abstract: Imbalanced learning is a critical challenge in machine learning, where underrepresented target values can bias models and degrade prediction performance on rare but important cases. Although extensively studied in classification, imbalanced regression remains relatively underexplored. Existing methods mainly focus on either data-level balancing, which may introduce noise and overfitting, or algorithm-level balancing, which often struggles with highly complex...
Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model
arXiv:2606.07771v1 Announce Type: cross Abstract: Foundation models for astronomical surveys offer powerful learned representations that can be transferred to downstream regression tasks such as galaxy property estimation. However, point predictions alone are insufficient for scientific inference; reliable uncertainty quantification (UQ) is essential. We compare seven UQ methods on galaxy property regression using frozen AION-1 foundation-model embeddings, predicting redshift, stellar mass,...
BiNSGPS: Geometry Problem Solving via Bidirectional Neuro-Symbolic Interaction
Announce Type: new Abstract: Geometry problem solving poses distinct challenges in artificial intelligence. Existing approaches typically fall into two paradigms: symbolic methods, which exhibit limited adaptability, and neural methods, which are prone to hallucinations. Recent neuro-symbolic hybrids predominantly rely on a unidirectional pipeline where neural outputs are fed into solvers without feedback, making system brittle to early-stage errors.
ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization
Announce Type: replace Abstract: Deep Reinforcement Learning (DRL) has emerged as a promising approach for solving Combinatorial Optimization (CO) problems, such as the 3D Bin Packing Problem (3D-BPP), Traveling Salesman Problem (TSP), or Vehicle Routing Problem (VRP), but these neural solvers often exhibit brittleness when facing distribution shifts. To address this issue, we uncover the Satisficing Generalization Edge, which we validate both theoretically and experimentally: identifying a...
A 5.3-million-year-old deep-sea whale necropolis in the Diamantina Zone
Abstract Whale falls are biodiversity oases at seabeds1,2,3,4,5,6, yet their record from the oceans has remained sparse and fragmentary6,7. Here we report the discovery of a vast whale necropolis in the Diamantina Zone (4,616- to 7,001-m depth), extending about 1,200 km along the sea floor of the southeastern Indian Ocean. This area has a deep and extensive accumulation comprising five modern natural whale-fall communities and 476 fossil cetaceans recorded.
Polynomial and Pseudopolynomial Algorithms for Two Classes of Bin Packing Instances
Announce Type: replace Abstract: The Cutting Stock Problem (CSP) and Bin Packing Problem (BPP) are classical combinatorial optimization problems extensively studied since the 1960s. State-of-the-art exact algorithms are based on set-cover and arc-flow models whose linear relaxation, rounded up, matches the integer optimum for most benchmark instances, a condition known as the Integer Round-up Property (IRUP). In 2016, Delorme et al. showed that all existing instances could be solved within...
The need for a socialist planned economy (2021)
This article is a transcript of the presentation given by Vincent R. Beaudoin at Fightback’s Marxist Winter School 2021. When the Soviet Union collapsed in 1991, Francis Fukuyama told us that this was evidence of the failure of the planned economy and the success of the capitalist market economy, and that it represented the end of history. In October 2018, however, he changed his mind.
Why many US pastors are silent on climate
Why many US pastors are silent on climate June 10, 2026After years of decline, the number of Christians in the United States has stabilized. But, as they file into church on Sunday mornings, only a few will hear about the state of the planet that the Bible calls on them to steward. According to a 2025 study, although almost 90% of US faith leaders across all major Christian denominations believe in at least some degree of human-caused climate change, only about half have ever discussed it...
Unlikely material behind Whitsundays artist's fashion collection
Whitsundays artist creates fish leather from seafood waste Sun 31 May 2026 at 7:02am In the front yard of her home, nestled in the picturesque Whitsundays, Felicity Chapman strips the last pieces of flesh and sinew from a strip of barramundi skin. "You want to keep the tension really tight, otherwise it just tears," Ms Chapman said. Swapping between a large-handled knife and a scalpel for the more precise work, she uses a process learned entirely through trial and error.