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Scaling Limits of Bayesian Inference with Deep Neural Networks
Boris Hanin Princeton University

Measure Transport Perspectives on Sampling, Generative Modeling, and Beyond
Michael Albergo New York University (NYU)

Neuralnetwork quantum states for ultracold Fermi gases
Jane Kim Michigan State University (MSU)

Scalar and Grassmann Neural Network Field Theory
Anindita Maiti Perimeter Institute for Theoretical Physics


Topological quantum phase transitions in exact twodimensional isometric tensor networks  VIRTUAL
YuJie Liu Technical University of Munich (TUM)

Deep Learning Convolutions Through the Lens of Tensor Networks
Felix Dangel Vector Institute for Artificial Intelligence

Quantum metrology in the finitesample regime  VIRTUAL
Johannes Meyer Freie Universität Berlin


4partite QuantumAssisted VAE as a calorimeter surrogate
Javier Toledo Marín TRIUMF (Canada's National Laboratory for Particle and Nuclear Physics)

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