Risultati della ricerca - Scheinker, Alexander

Conditional Guided Generative Diffusion for Particle Accelerator Beam Diagnostics di Scheinker, Alexander

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cDVAE: Multimodal Generative Conditional Diffusion Guided by Variational Autoencoder Latent Embedding for Virtual 6D Phase Space Diagnostics di Scheinker, Alexander

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Physics-Informed Super-Resolution Diffusion for 6D Phase Space Diagnostics di Scheinker, Alexander

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Adaptive conditional latent diffusion maps beam loss to 2D phase space projections di Scheinker, Alexander, Williams, Alan

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Advancing accelerator virtual beam diagnostics through latent evolution modeling: an integrated solution to forward, inverse, tuning, and UQ problems di Rautela, Mahindra, Scheinker, Alexander

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A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators di Rautela, Mahindra, Williams, Alan, Scheinker, Alexander

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Practical Safe Extremum Seeking with Assignable Rate of Attractivity to the Safe Set di Williams, Alan, Krstic, Miroslav, Scheinker, Alexander

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Accelerator system parameter estimation using variational autoencoded latent regression di Rautela, Mahindra, Williams, Alan, Scheinker, Alexander

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Towards latent space evolution of spatiotemporal dynamics of six-dimensional phase space of charged particle beams di Rautela, Mahindra, Williams, Alan, Scheinker, Alexander

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Time-inversion of spatiotemporal beam dynamics using uncertainty-aware latent evolution reversal di Rautela, Mahindra, Williams, Alan, Scheinker, Alexander

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CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuning di Rautela, Mahindra, Williams, Alan, Scheinker, Alexander

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QP Based Constrained Optimization for Reliable PINN Training di Williams, Alan, Leon, Christopher, Scheinker, Alexander

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Generalized Multi-Constraint Extremum Seeking di Williams, Alan, Cortés, Jorge, Scheinker, Alexander

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Deep Reinforcement Learning for Robotic Manipulation under Distribution Shift with Bounded Extremum Seeking di Saxena, Shaifalee, Fierro, Rafael, Scheinker, Alexander

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PhaseFlow4D: Physically Constrained 4D Beam Reconstruction via Feedback-Guided Latent Diffusion di Scheinker, Alexander, Plastun, Alexander, Ostroumov, Peter

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Improved Robustness of Deep Reinforcement Learning for Control of Time-Varying Systems by Bounded Extremum Seeking di Saxena, Shaifalee, Williams, Alan, Fierro, Rafael, Scheinker, Alexander

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Using Convolutional Neural Networks to Accelerate 3D Coherent Synchrotron Radiation Computations di Leon, Christopher, Anisimov, Petr M., Yampolsky, Nikolai, Scheinker, Alexander

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Nested Extremum Seeking Converges to Stackelberg Equilibrium di Ratto, Brad, Williams, Alan, Krstić, Miroslav, Başar, Tamer, Scheinker, Alexander

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PDE foundation model-accelerated inverse estimation of system parameters in inertial confinement fusion di Rautela, Mahindra, Scheinker, Alexander, Love, Bradley, Oyen, Diane, DeBardeleben, Nathan, Lawrence, Earl, Biswas, Ayan

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MORPH: PDE Foundation Models with Arbitrary Data Modality di Rautela, Mahindra Singh, Most, Alexander, Mansingh, Siddharth, Love, Bradley C., Scheinker, Alexander, Oyen, Diane, Debardeleben, Nathan, Lawrence, Earl, Biswas, Ayan

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