Showing 1–20 of 47 results
/ Date/ Name
May 2, 2018Trainability and Accuracy of Neural Networks: An Interacting Particle System ApproachJul 7, 2021Learning nonequilibrium control forces to characterize dynamical phase transitionsJun 19, 2023Adaptive nonequilibrium design of actin-based metamaterials: fundamental and practical limits of controlJun 20, 2024Computing Nonequilibrium Responses with Score-shifted Stochastic Differential EquationsApr 12, 2022Physics-informed graph neural networks enhance scalability of variational nonequilibrium optimal controlAug 21, 2024Non-Clifford diagonalization for measurement shot reduction in quantum expectation value estimationFeb 1, 2025Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order AlgorithmsSep 25, 2025DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion ModelsDec 10, 2023Statistical Spatially Inhomogeneous Diffusion InferenceMay 2, 2022A unified, geometric framework for nonequilibrium protocol optimizationAug 21, 2020A Dynamical Central Limit Theorem for Shallow Neural NetworksFeb 27, 2024Universal energy-speed-accuracy trade-offs in driven nonequilibrium systemsOct 22, 2015Dynamic Riemannian Geometry of the Ising ModelJul 15, 2024Discrete generative diffusion models without stochastic differential equations: a tensor network approachJun 30, 2025Minimally dissipative multi-bit logical operationsOct 10, 2024Features are fate: a theory of transfer learning in high-dimensional regressionDec 20, 2025Pushing the limits of one-dimensional NMR spectroscopy for automated structure elucidation using artificial intelligenceJan 27, 2026The cost of quantum algorithms for biochemistry: A case study in metaphosphate hydrolysisSep 28, 2018Dynamical computation of the density of states and Bayes factors using nonequilibrium importance samplingJul 16, 2021Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods