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  • IT (5838) +28
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  • All (21181) +146
    • AI (3169) +10
    • DevOps (940) +5
    • Software (11185) +102
    • IT (5838) +28
    • Education (48)
  • Notice
  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
  • Notice
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  • 1 month ago · ai

    The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel

    Ridge and Lasso regression are often perceived as more complex versions of linear regression. In reality, the prediction model remains exactly the same. What ch...

    #ridge regression #lasso regression #regularization #excel #machine learning #linear regression
  • 1 month ago · it

    AI is bringing old nuclear plants out of retirement

    Article URL: https://www.wbur.org/hereandnow/2025/12/09/nuclear-power-ai Comments URL: https://news.ycombinator.com/item?id=46254276 Points: 4 Comments: 0...

    #AI #nuclear power #energy #plant retirement #machine learning #sustainability
  • 1 month ago · ai

    [Paper] Stochastic Volatility Modelling with LSTM Networks: A Hybrid Approach for S&P 500 Index Volatility Forecasting

    Accurate volatility forecasting is essential in banking, investment, and risk management, because expectations about future market movements directly influence ...

    #research #paper #ai #machine-learning
  • 1 month ago · ai

    [Paper] Particulate: Feed-Forward 3D Object Articulation

    We present Particulate, a feed-forward approach that, given a single static 3D mesh of an everyday object, directly infers all attributes of the underlying arti...

    #research #paper #ai #machine-learning #computer-vision
  • 1 month ago · ai

    [Paper] A General Algorithm for Detecting Higher-Order Interactions via Random Sequential Additions

    Many systems exhibit complex interactions between their components: some features or actions amplify each other's effects, others provide redundant information,...

    #research #paper #ai #machine-learning
  • 1 month ago · ai

    Day 7: Trading Leetcode for ML

    Small Wins Woke up at 11 AM instead of my usual 12. An hour earlier. Yeah, I'm counting that as progress because when you're trying to fix your sleep schedule,...

    #machine learning #logistic regression #scikit-learn #personal learning #leetcode #productivity
  • 1 month ago · ai

    [Paper] Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective

    Softmax attention is a central component of transformer architectures, yet its nonlinear structure poses significant challenges for theoretical analysis. We dev...

    #research #paper #ai #machine-learning
  • 1 month ago · ai

    Day 7: Trading Leetcode for ML (Temporarily)

    Small Wins - Woke up at 11 AM instead of my usual 12 AM. An hour earlier—counting that as progress while fixing my sleep schedule. - Did a revision problem on...

    #machine learning #logistic regression #scikit-learn #personal learning #leetcode
  • 1 month ago · ai

    [Paper] Super Suffixes: Bypassing Text Generation Alignment and Guard Models Simultaneously

    The rapid deployment of Large Language Models (LLMs) has created an urgent need for enhanced security and privacy measures in Machine Learning (ML). LLMs are in...

    #research #paper #ai #machine-learning
  • 1 month ago · ai

    [Paper] Agile Flight Emerges from Multi-Agent Competitive Racing

    Through multi-agent competition and the sparse high-level objective of winning a race, we find that both agile flight (e.g., high-speed motion pushing the platf...

    #research #paper #ai #machine-learning
  • 1 month ago · ai

    [Paper] Conditional Coverage Diagnostics for Conformal Prediction

    Evaluating conditional coverage remains one of the most persistent challenges in assessing the reliability of predictive systems. Although conformal methods can...

    #research #paper #ai #machine-learning
  • 1 month ago · ai

    [Paper] The Adaptive Vekua Cascade: A Differentiable Spectral-Analytic Solver for Physics-Informed Representation

    Coordinate-based neural networks have emerged as a powerful tool for representing continuous physical fields, yet they face two fundamental pathologies: spectra...

    #research #paper #ai #machine-learning

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