It is proved that the constrained decoupled objective is equivalent at optimality to a specific joint penalty on the inner and outer weights, for any positively homogeneous activation, and thus admits a clean projected and proximal formulation.
Charles Kulick, Armenak Petrosyan, Tang Sui· 0 citations
Frontier language models now produce professional deliverables that expert graders judge to match human work on a substantial share of economically valuable tasks, yet most enterprise GenAI initiatives fail to show a measurable business effect and a large fraction of agentic projects are expected to be cancelled. We ar...
Abbas Ali, Muhammad Ajmal Siddiqui, Moona Zahid· 0 citations
The existence-field diffusion model (EFDM), which associates each potential point with a continuous variable representing its degree of presence, is proposed, which uses Gaussian diffusion to jointly model point locations and cardinality through a simple continuous representation.
Xiaoyi Pan, C. Shelton, Rakshith Mahishi et al.· arXiv.org· 0 citations
Aims: This study develops a dynamic explanation for the gap between task-level artificial intelligence productivity and durable enterprise value. It introduces verification debt, the accumulated stock of unverified assumptions, weak review, concealed dependencies, deferred validation, and capability loss.
Study Design:...
Kwan-Hong Tan· Journal of global economics,...· 4 citations
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PBL is more effective for students with low BSPS, whereas Discovery Learning is more effective for students with high BSPS, highlighting that instructional effectiveness depends on students’ initial skill levels and support the development of adaptive learning strategies in science education.
Muhammad Sirih, Jahidin, Nurrijal et al.· International journal of tec...· 1 citation
Hopformer (Homogeneity-Pursuit Transformer), a two-stage framework that addresses multiple time-series with high-dimensional covariates, and proves that SPA achieves a near-optimal bias-variance trade-off via an oracle inequality.
Wan Zhang, Qinjie Lin, Chan Lee et al.· arXiv.org· 0 citations
Watermarking provides a principled way to authenticate text generated by large language models (LLMs). In practice, however, the final text may be mixed-source, with watermark evidence surviving at only a subset of token positions after rewriting, insertion, deletion, or paraphrasing. Although prior work has studied gl...
José H. Blanchet, T. Cai, Xiang Li et al.· 1 citation· ⚡1
Large language models produce prompt-dependent probabilities over words, whereas scientific systems require uncertainty over meaningful states that can be updated as evidence arrives. We develop an observable framework for determining when language-derived probabilities support such a sequential state representation. T...
There are distributions that can be efficiently generated by a quantum learner with access to quantum samples, but not by a quantum learner with access to only classical samples, making progress to answering this question in the affirmative.
We propose a novel Mixture-of-Experts framework, referred to as Expert Loss Integration MoE (EliMoE), for time series forecasting. EliMoE addresses the optimization problem arising from small gating weights by incorporating expert-specific losses, which provide each expert with a direct learning signal independent of t...
Btissame El Mahtout, F. Ziel· arXiv.org· 0 citations
It is shown that both the model-based approach and approximate diffusion-based sampling degrade significantly in the presence of limited-view geometry and real experimental data, whereas UCoS yields more accurate reconstructions.
Fabian Schneider, Meghdoot Mozumder, Konstantin Tamarov et al.· Inverse Problems and Imaging· 1 citation
Privacy preservation is critical in many high-stakes domains such as medicine and finance, where sensitive data must be analyzed without compromising individual confidentiality. At the same time, these applications often involve datasets with inherent missing values due to non-response or data corruption for example. M...
A machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation.
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
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