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Found 3 papers, 1 papers with code
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression
Our tool can correctly identify relationships between physics variables for most equations, underscoring its value as a complementary personalized learning tool for undergraduate physics students.
Differential Privacy at Risk: Bridging Randomness and Privacy Budget
We also propose a cost model that bridges the gap between the privacy level and the compensation budget estimated by a GDPR compliant business entity.
Finding Quantum Critical Points with Neural-Network Quantum States
Finding the precise location of quantum critical points is of particular importance to characterise quantum many-body systems at zero temperature.
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