arXiv

A Comparative Study of Deep Learning Architectures for Multi-Horizon Behavioural Forecasting for Mobile Health

Wearable devices and smartphones generate rich behavioural time series that can support proactive health intervention...

AI 聚合
2026-06-15
arXiv

Expert-Driven Survival Machines: Improving Stratification and Interpretability in Multiple Clinical Cohorts

Survival prediction plays a central role for healthcare providers and clinical researchers. Accurate risk stratificat...

AI 聚合
2026-06-15
arXiv

Moonlight in Latent Space: Chirality and Structural Correspondence Between Beethoven's Op. 27 No. 2 and Machine Learning Mechanisms

We show that the three movements of Beethoven's "Moonlight Sonata" (Op. 27 No. 2) instantiate three distinct machine ...

AI 聚合
2026-06-15
arXiv

When Good Verifiers Go Bad: Self-Improving VLMs Can Regress on New Tasks

Verifier-driven self-DPO is a common recipe for self-improving production visual-language models. In this setup, a fr...

AI 聚合
2026-06-15
arXiv

From Self-Supervised Speech Models to Mixture-of-Experts for Robust Anti-Spoofing

Recent advances in speech generation have significantly improved the naturalness of synthetic speech, making spoofing...

AI 聚合
2026-06-15
arXiv

Listening with Attention: Entropy-Guided Explainability for Transformer-Based Audio Models

Transformer-based automatic speech recognition (ASR) models such as Whisper are highly accurate, but their prediction...

AI 聚合
2026-06-15
arXiv

Abstracting Cross-Domain Action Sequences into Interpretable Workflows

Sequential or time-stamped interaction logs provide objective records of digital application usage, yet their granula...

AI 聚合
2026-06-15
arXiv

Giving AI a Headache: Acoustic Adversarial Attacks to Computer Vision Applications

Artificial Intelligence (AI) is increasingly used to automate a variety of real-world computer vision (CV) applicatio...

AI 聚合
2026-06-15
arXiv

Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows

Large language models increasingly serve as execution engines for agentic systems, yet they still consume context thr...

AI 聚合
2026-06-15
arXiv

CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disease Classification

Globally, cotton is a highly economically beneficial crop, as the textile industry heavily depends on it. So, the pre...

AI 聚合
2026-06-15
arXiv

Flood and Harvest: The Provable Necessity of Trivia for Generating Valuable Mathematics via the Lens of Language Generation in the Limit

AI systems coupled to proof assistants now generate formal mathematics at scale, and the gap between what a checker c...

AI 聚合
2026-06-15
arXiv

Learning Coordinated Preference for Multi-Objective Multi-Agent Reinforcement Learning

Cooperative multi-objective multi-agent reinforcement learning (MOMARL) models team decision making under multiple, p...

AI 聚合
2026-06-15
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