Aspen Winter Conference

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Sessions*

Topic-Driven Discussion Sessions

Public Lecture

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Contributions*

Andrews-Curtis conjecture and reinforcement learning

Artificial Intelligence: Ideas From Nature (in session "Public Lecture")

Aspects of Field Theories through the lens of Neural Networks

Block Award and Closing

Computer-aided Conjecture Generation in Maths and Physics

Computing Physical Yukawa Couplings from String Theory

Diffusion Models: A Return to its Thermodynamic Origins

Discrete lattice gauge theory from neural-network quantum states

Flavor Orientifolds and N=1 SCFTs

Full solution to the neural scaling law model

Intelligent Explorations of the String Landscape

Machine Learning negatively-curved manifolds and de Sitter vacua

Machine Learning Quantum Integrability

Mapping the Phase Space of Supersymmetric Gauge Theories using Explainable Machine Learning

Metric Flows

Moduli Stabilization and the Statistics of SUSY Breaking in the Landscape

Phi^4 Theory as a Neural Network Field Theory

QFT inspired learning

Reinforcement-Learning based numerical approaches for the conformal bootstrap

Spectral Theory of Generalization in Regression

Statistical exploration of the landscape with consequences for SUSY at LHC

Statistical learning of deterministic functions

Tensor network to learn the wave function of data

The Theory and Practice of Diffusion Models

Three Dimensional IR N-ality with Eight Supercharges

Twists and Turns through the Landscape of Little String Theories

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Events scheduled on*

15/01/2024

16/01/2024

17/01/2024

18/01/2024

19/01/2024

20/01/2024

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