SA-PAL combines adaptive timesteps and position-dependent friction in Langevin dynamics, reporting 1.5-3x faster mixing on Rosenbrock and Mueller-Brown potentials plus order-of-magnitude efficiency gains on other test problems.
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6 Pith papers cite this work, alongside 545 external citations. Polarity classification is still indexing.
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Metastable plateaus in quantum Langevin optimization dynamics arise from the competition between tunneling and imbalanced dissipation, and can be characterized and shortened by dissipative control.
Stellar dynamical modeling of two ultra-diffuse galaxies in Hydra I yields constraints on dark matter profiles and particle parameters, supporting a puffed-up dwarf origin and cuspy/cored halo dichotomy.
Learned wavelet-based conditional sampling decorrelates within O(1) sweeps per scale at an Ising-like critical point of a frustrated 2D soft-spin model, giving O(log_2 L) total sampling complexity.
New discrete-time approximations to SG(L)D enable accurate non-asymptotic predictions of covariance and integrated autocorrelation time for practical tuning in large-batch or misspecified regimes.
A calibrated semi-analytic galaxy formation model is produced using Gaussian process emulators to simultaneously fit stellar masses, star formation rates, sizes, black hole masses, metallicities, and H-alpha luminosity functions for Roman survey mock catalogues.
citing papers explorer
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Accelerated sampling using SamAdams variable timesteps and position-adaptive Langevin dynamics
SA-PAL combines adaptive timesteps and position-dependent friction in Langevin dynamics, reporting 1.5-3x faster mixing on Rosenbrock and Mueller-Brown potentials plus order-of-magnitude efficiency gains on other test problems.
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Metastability in Quantum Dynamics for Optimization
Metastable plateaus in quantum Langevin optimization dynamics arise from the competition between tunneling and imbalanced dissipation, and can be characterized and shortened by dissipative control.
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Probing dynamics of extreme galaxies I. Dark matter content in ultra-diffuse galaxies
Stellar dynamical modeling of two ultra-diffuse galaxies in Hydra I yields constraints on dark matter profiles and particle parameters, supporting a puffed-up dwarf origin and cuspy/cored halo dichotomy.
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Overcoming critical slowing down in frustrated spin systems by learned multiscale sampling
Learned wavelet-based conditional sampling decorrelates within O(1) sweeps per scale at an Ising-like critical point of a frustrated 2D soft-spin model, giving O(log_2 L) total sampling complexity.
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Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo
New discrete-time approximations to SG(L)D enable accurate non-asymptotic predictions of covariance and integrated autocorrelation time for practical tuning in large-batch or misspecified regimes.
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Emulator-Assisted Calibration of a Semi-Analytic Galaxy Formation Model for the Roman Galaxy Redshift Survey
A calibrated semi-analytic galaxy formation model is produced using Gaussian process emulators to simultaneously fit stellar masses, star formation rates, sizes, black hole masses, metallicities, and H-alpha luminosity functions for Roman survey mock catalogues.