3 citations · 3 across the 6 of their papers we have counts for
7 papers
Bifurcations from Weight Space: JEPAWG on Parametric Dynamical Systems
Tobias Göbel, Miranda C. N. Cheng
Trained network weights are increasingly treated as data, but there is rarely ground truth about what a population of models should encode, which hampers systematic validation of w…
Weight-Space Physics: Interpretable Hypernetworks for Lattice Quantum Field Theories
Tobias Göbel, Julian R. Ebelt, Zier Mensch +2
Lattice field theory is the workhorse of non-perturbative physics, used to simulate phenomena from the strong nuclear force to critical phenomena in materials. Its Boltzmann distri…
QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem
Merijn Moody, Zier Mensch, Miranda C. N. Cheng +2
Reliable quantum control in the presence of decoherence requires policies that combat the effect of environmental noise on the controlled dynamics. Open quantum systems under conti…
Final Report on the Measurement of the Positive Muon Anomalous Magnetic Moment at Fermilab to 127 ppb
2 Collaboration, D. P. Aguillard, T. Albahri +192
This report details the final measurement of the muon magnetic anomaly, , by the Muon experiment at Fermi National Accelerator Laboratory (FNAL), using positiv…
Analytic Bijections for Smooth and Interpretable Normalizing Flows
Mathis Gerdes, Miranda C. N. Cheng
A key challenge in normalizing flows is finding expressive invertible scalar bijections. Existing approaches face trade-offs: affine transformations are smooth and analytically inv…
GUD: Generation with Unified Diffusion
Mathis Gerdes, Max Welling, Miranda C. N. Cheng
Diffusion generative models transform noise into data by inverting a process that progressively adds noise to data samples. Inspired by concepts from the renormalization group in p…
Non-Perturbative Trivializing Flows for Lattice Gauge Theories
Mathis Gerdes, Pim de Haan, Roberto Bondesan +1
Continuous normalizing flows are known to be highly expressive and flexible, which allows for easier incorporation of large symmetries and makes them a powerful computational tool…