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PulseAugur coverage of scroll — every cluster mentioning scroll across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Study: Few RL methods from arXiv papers adopted by open-source frameworks
A study analyzing seven open-source reinforcement learning (RL) training frameworks found that a low percentage of proposed RL methods from arXiv papers are integrated into these frameworks. Out of 1,598 papers proposin…
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SCROLL method improves forecasting of stochastic dynamics with learned uncertainty
Researchers have developed SCROLL, a novel method for forecasting multiple observables in stochastic dynamical systems. Unlike traditional approaches that balance per-task losses, SCROLL composes likelihoods of differen…
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New SCROLL method optimizes Bayesian neural networks via Bethe free energy
Researchers have developed a new method for training Bayesian neural networks called SCROLL (Shared-Cavity fRee-rOuting Last-Layer). This approach optimizes the Bethe free energy rather than the typical evidence lower b…
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New research proposes liquidity-based audit for algorithmic trading strategies
A new research paper proposes a method to audit algorithmic trading strategies by analyzing their trade and price history. The study introduces a statistic that can identify whether a strategy is a net liquidity consume…
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Australian tech founders protest tax changes with AI-generated PM images
Australian tech founders are using AI-generated images of Prime Minister Anthony Albanese to protest proposed changes to capital gains tax. The founders argue that the tax alterations, which replace a 50% discount with …