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KL Divergence in DeepSeek R1 – Full Implementation Walk-Through

Step-by-step implementation of KL Divergence in DeepSeek R1. Learn the math, code, and practical insights behind this key concept. #KLDivergence #DeepLearning #AIResearch Arnold Schwarzenegger defies ...
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Soaring Above Kuala Lumpur: Drones Reveal City's Splendor.

Fly over the vibrant skyline of Kuala Lumpur with breathtaking drone footage capturing its iconic skyscrapers, bustling streets, and cultural landmarks. From the towering Petronas Twin Towers to the ...
C&EN

Self-Consistency Error Correction for Accurate Machine Learning Potentials from Variational Monte Carlo

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
GitHub

Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Information between the Isotropic Gaussian ...

Images generated by MMD-VAE by passing in Gaussian random noise. Short explanation: The traditional VAE is known as the ELBO-VAE, named after the Evidence Lower Bound used in its objective. The ELBO ...
Reuters

Petronas delivers first local sustainable aviation fuel to Malaysia Airlines

KUALA LUMPUR, Sept 12 (Reuters) - Malaysia's state energy firm Petroliam Nasional Berhad, or Petronas, said on Friday it had delivered the country's first locally-blended sustainable aviation fuel for ...
The Motley Fool

Why Apple Stock Sank Today

Apple unveiled new iPhones, AirPods, and smart watches at an event yesterday. Investors didn't see a major blockbuster product in the company's new lineup. Some investors may also have been hoping ...
pv magazine International

Domain adaptation framework for PV power forecasting

A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants with abundant data to plants that need to be trained without labelled data.
marktechpost

A New MIT Study Shows Reinforcement Learning Minimizes Catastrophic Forgetting Compared to Supervised Fine-Tuning

What is catastrophic forgetting in foundation models? Foundation models excel in diverse domains but are largely static once deployed. Fine-tuning on new tasks often introduces catastrophic forgetting ...
C&EN

Mathematical Modeling of Aβ-42 Dimerization Dynamics: Integrating Physics-Based Simulations, Graph-Based Variational Autoencoder-Driven Neural Relational Inference, and Chaos ...

Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahçeşehir University, Istanbul 34349, Turkey Lab for Innovative Drugs (Lab4IND), ...
Scientific Research Publishing

Kullback, S. (1968) Information Theory and Statistics. Dover Publications, 1-31.

ABSTRACT: Recent investigations have shown that a bivariant lognormal probability density function predicts the statistical moments and correlations of adult human height and weight so extensively and ...
Scientific Research Publishing

Shannon, C.E. and Weaver, W. (1964) The Mathematical Theory of Communication. The University of Illinois Press.

ABSTRACT: Recent investigations have shown that a bivariant lognormal probability density function predicts the statistical moments and correlations of adult human height and weight so extensively and ...