Showing 1–20 of 47 results
/ Date/ Name
Jun 8, 2018A linear programming approach to inverse planning in Gamma Knife radiosurgeryMay 12, 2022Probabilistic Estimation of Instantaneous Frequencies of Chirp SignalsMay 25, 2023Neural incomplete factorization: learning preconditioners for the conjugate gradient methodMay 22, 2024Conditioning diffusion models by explicit forward-backward bridgingNov 21, 2023Variational Elliptical ProcessesMar 24, 2020Registration by tracking for sequential 2D MRIFeb 1, 2022Graph-based Neural Acceleration for Nonnegative Matrix FactorizationJan 3, 2023A Tutorial on Parametric Variational InferenceJun 30, 2023Risk-sensitive Actor-free Policy via Convex OptimizationSep 15, 2024Conditional sampling within generative diffusion modelsSep 10, 2025A parallel algorithm for generating Pareto-optimal radiosurgery treatment plansSep 5, 2025Learning to accelerate distributed ADMM using graph neural networksFeb 6, 2024Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement LearningMar 1, 2021Unsupervised dynamic modeling of medical image transformationNov 16, 2017Bayesian uncertainty quantification in linear models for diffusion MRIMar 21, 2025Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-EnsemblesNov 11, 2024Symmetrizable systemsJun 27, 2025Exploring Modularity of Agentic Systems for Drug DiscoveryFeb 15, 2024Ising on the Graph: Task-specific Graph Subsampling via the Ising ModelApr 17, 2023Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models