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Machine Learning Renormalization Group (VIRTUAL)
University of California, San Diego 
Scaling Limits of Bayesian Inference with Deep Neural Networks
Princeton University 
Measure Transport Perspectives on Sampling, Generative Modeling, and Beyond
New York University (NYU) 
Neuralnetwork quantum states for ultracold Fermi gases
Ohio University 
Scalar and Grassmann Neural Network Field Theory
Perimeter Institute for Theoretical Physics 

Topological quantum phase transitions in exact twodimensional isometric tensor networks  VIRTUAL
Technical University of Munich (TUM) 
Deep Learning Convolutions Through the Lens of Tensor Networks
Vector Institute for Artificial Intelligence 
Quantum metrology in the finitesample regime  VIRTUAL
Freie Universität Berlin 


The Quantization Model of Neural Scaling
Massachusetts Institute of Technology (MIT)