Fashion

engineering is one of the most relevant topics in machine learning today, which is why I’m writing my third article on the topic. My goal is to both broaden my understanding of engineering contexts for LLMs and share that knowledge through my articles. In today’s article, I’ll discuss improving the context you feed into your LLMs for question answering. Usually, …

arXiv:2509.04379v1 Announce Type: cross Abstract: Recent advancements in neural representations, such as Neural Radiance Fields and 3D Gaussian Splatting, have increased interest in applying style transfer to 3D scenes. While existing methods can transfer style patterns onto 3D-consistent neural representations, they struggle to effectively extract and transfer high-level style semantics from the reference style image. Additionally, the stylized results often …

arXiv:2509.04345v1 Announce Type: cross Abstract: Speech generation systems can produce remarkably realistic vocalisations that are often indistinguishable from human speech, posing significant authenticity challenges. Although numerous deepfake detection methods have been developed, their effectiveness in real-world environments remains unrealiable due to the domain shift between training and test samples arising from diverse human speech and fast evolving speech synthesis systems. …

or so, it has been impossible to deny that there has been an increase in the hype level towards AI, especially with the rise of generative AI and agentic AI. As a data scientist working in a consulting firm, I have noted a considerable growth in the number of enquiries regarding how we can leverage these new technologies to make …

[Submitted on 6 Sep 2023 (v1), last revised 3 Sep 2025 (this version, v3)] View a PDF of the paper titled The case for and against fixed step-size: Stochastic approximation algorithms in optimization and machine learning, by Caio Kalil Lauand and 1 other authors View PDF HTML (experimental) Abstract:Theory and application of stochastic approximation (SA) have become increasingly relevant due …

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French AI startup Mistral AI is finalizing a €2 billion investment at a post-money valuation of $14 billion, reports Bloomberg, positioning the company as one of Europe’s most valuable tech startups. The two-year-old OpenAI rival, founded by former DeepMind and Meta researchers, develops open source language models and Le Chat, its AI chatbot built for European audiences. Mistral isn’t commenting …

[Submitted on 2 Oct 2022 (v1), last revised 29 Aug 2025 (this version, v4)] View a PDF of the paper titled Stochastic optimization on matrices and a graphon McKean-Vlasov limit, by Zaid Harchaoui and 4 other authors View PDF Abstract:We consider stochastic gradient descents on the space of large symmetric matrices of suitable functions that are invariant under permuting the …

[Submitted on 5 Nov 2024 (v1), last revised 2 Sep 2025 (this version, v2)] Authors:Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Jungang Li, Jingyu Wang, Peijie Jiang, Aiwei Liu, Jia Liu, Xuming Hu View a PDF of the paper titled Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios, by Yunkai Dang and 9 other …

[Submitted on 13 Aug 2025 (v1), last revised 1 Sep 2025 (this version, v2)] View a PDF of the paper titled Parameter-Aware Ensemble SINDy for Interpretable Symbolic SGS Closure, by Hanseul Kang and 2 other authors View PDF HTML (experimental) Abstract:This work designs a scalable, parameter-aware sparse regression framework for discovering interpretable partial differential equations and subgrid-scale closures from multi-parameter …