Format results
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Scaling Limits of Bayesian Inference with Deep Neural Networks
Boris Hanin Princeton University
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Measure Transport Perspectives on Sampling, Generative Modeling, and Beyond
Michael Albergo New York University (NYU)
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Neural-network quantum states for ultra-cold Fermi gases
Jane Kim Ohio University
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Scalar and Grassmann Neural Network Field Theory
Anindita Maiti Perimeter Institute for Theoretical Physics
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Topological quantum phase transitions in exact two-dimensional isometric tensor networks - VIRTUAL
Yu-Jie Liu Technical University of Munich (TUM)
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Deep Learning Convolutions Through the Lens of Tensor Networks
Felix Dangel Vector Institute for Artificial Intelligence
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Quantum metrology in the finite-sample regime - VIRTUAL
Johannes Meyer Freie Universität Berlin
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4-partite Quantum-Assisted VAE as a calorimeter surrogate
Javier Toledo Marín TRIUMF (Canada's National Laboratory for Particle and Nuclear Physics)
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The Quantization Model of Neural Scaling
Eric Michaud Massachusetts Institute of Technology (MIT)
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