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NFL power rankings 2025 with best future bets: Packers to win NFC North, Ravens or Bills to win Super Bowl

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Assortment Optimization and the Sample Average Approximation
Hassaan Khalid, Bradley Sturt
https://arxiv.org/abs/2510.00850 https://arxiv.org/pdf/2510.0085…

Assortment Optimization and the Sample Average Approximation
We consider a simple approach to solving assortment optimization under the random utility maximization model. The approach uses Monte-Carlo simulation to construct a ranking-based choice model that serves as a proxy for the true choice model, followed by finding an assortment that is optimal with respect to that proxy. In this paper, we make that approach more viable by developing faster algorithms for finding assortments that are optimal under ranking-based choice models. Our algorithms are ba…

Windkraft-Intensitätsindex je Bundesland relativ zum geometrischen Mittel aus Fläche & Einwohnerzahl, Stand 30.08.2025.
Nur in Betrieb befindliche Anlagen berücksichtigt. „Ausschließliche Wirtschaftszone“ (Offshore) ausgenommen.
👉 Erläuterung für Nerds 😊:

WaveMind: Towards a Conversational EEG Foundation Model Aligned to Textual and Visual Modalities
Ziyi Zeng, Zhenyang Cai, Yixi Cai, Xidong Wang, Junying Chen, Rongsheng Wang, Yipeng Liu, Siqi Cai, Benyou Wang, Zhiguo Zhang, Haizhou Li
https://arxiv.org/abs/2510.00032

WaveMind: Towards a Conversational EEG Foundation Model Aligned to Textual and Visual Modalities
Electroencephalography (EEG) interpretation using multimodal large language models (MLLMs) offers a novel approach for analyzing brain signals. However, the complex nature of brain activity introduces critical challenges: EEG signals simultaneously encode both cognitive processes and intrinsic neural states, creating a mismatch in EEG paired-data modality that hinders effective cross-modal representation learning. Through a pivot investigation, we uncover complementary relationships between the…

Preference-Based Dynamic Ranking Structure Recognition
Nan Lu, Jian Shi, Xin-Yu Tian
https://arxiv.org/abs/2509.24493 https://arxiv.org/pdf/2509.24493

Preference-Based Dynamic Ranking Structure Recognition
Preference-based data often appear complex and noisy but may conceal underlying homogeneous structures. This paper introduces a novel framework of ranking structure recognition for preference-based data. We first develop an approach to identify dynamic ranking groups by incorporating temporal penalties into a spectral estimation for the celebrated Bradley-Terry model. To detect structural changes, we introduce an innovative objective function and present a practicable algorithm based on dynamic…

NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution
Xiangtao Kong, Rongyuan Wu, Shuaizheng Liu, Lingchen Sun, Lei Zhang
https://arxiv.org/abs/2510.00820

NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution
Most recent real-world image super-resolution (Real-ISR) methods employ pre-trained text-to-image (T2I) diffusion models to synthesize the high-quality image either from random Gaussian noise, which yields realistic results but is slow due to iterative denoising, or directly from the input low-quality image, which is efficient but at the price of lower output quality. These approaches train ControlNet or LoRA modules while keeping the pre-trained model fixed, which often introduces over-enhance…

Evaluating the Use of Large Language Models as Synthetic Social Agents in Social Science Research
Emma Rose Madden
https://arxiv.org/abs/2509.26080 https://

Evaluating the Use of Large Language Models as Synthetic Social Agents in Social Science Research
Large Language Models (LLMs) are being increasingly used as synthetic agents in social science, in applications ranging from augmenting survey responses to powering multi-agent simulations. Because strong prediction plus conditioning prompts, token log-probs, and repeated sampling mimic Bayesian workflows, their outputs can be misinterpreted as posterior-like evidence from a coherent model. However, prediction does not equate to probabilism, and accurate points do not imply calibrated uncertain…

Ranking the top 10 shutdown cornerbacks of the 2025 NFL season so far https://www.nfl.com/news/ranking-the-top-10-shutdown-cornerbacks-of-the-2025-nfl-season-so-far

Reimagining Agent-based Modeling with Large Language Model Agents via Shachi
So Kuroki, Yingtao Tian, Kou Misaki, Takashi Ikegami, Takuya Akiba, Yujin Tang
https://arxiv.org/abs/2509.21862

Reimagining Agent-based Modeling with Large Language Model Agents via Shachi
The study of emergent behaviors in large language model (LLM)-driven multi-agent systems is a critical research challenge, yet progress is limited by a lack of principled methodologies for controlled experimentation. To address this, we introduce Shachi, a formal methodology and modular framework that decomposes an agent's policy into core cognitive components: Configuration for intrinsic traits, Memory for contextual persistence, and Tools for expanded capabilities, all orchestrated by an LLM …

NFL Power Rankings Week 5, optimal futures bets: Sell the Lions, Buy the Bills, Ravens Fall

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