The following pages link to author name string (P43):
Displaying 50 items.
- Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty (Q6432074) (← links)
- Local Intrinsic Dimensional Entropy (Q6432123) (← links)
- Many Data: Combine Experimental and Observational Data through a Power Likelihood (Q6432163) (← links)
- Visualizing Quantum Circuit Probability -- estimating computational action for quantum program synthesis (Q6432168) (← links)
- Modeling still matters: a surprising instance of catastrophic floating point errors in mathematical biology and numerical methods for ODEs (Q6432169) (← links)
- IHCV: Discovery of Hidden Time-Dependent Control Variables in Non-Linear Dynamical Systems (Q6432189) (← links)
- Optimal subsampling designs (Q6432297) (← links)
- Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning (Q6432386) (← links)
- CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? (Q6432395) (← links)
- A Novel Channel Model for Reconfigurable Intelligent Surfaces with Consideration of Polarization and Switch Impairments (Q6432440) (← links)
- SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization (Q6432549) (← links)
- Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations (Q6432565) (← links)
- Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach (Q6432576) (← links)
- A Novel Point-based Algorithm for Multi-agent Control Using the Common Information Approach (Q6432587) (← links)
- Improved Logical Error Rate via List Decoding of Quantum Polar Codes (Q6432663) (← links)
- GRIL: A $2$-parameter Persistence Based Vectorization for Machine Learning (Q6432705) (← links)
- Robust Tube Model Predictive Control with Uncertainty Quantification for Discrete-Time Linear Systems (Q6432720) (← links)
- Automatic Gradient Descent: Deep Learning without Hyperparameters (Q6432739) (← links)
- Maximum-likelihood Estimators in Physics-Informed Neural Networks for High-dimensional Inverse Problems (Q6432885) (← links)
- Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints (Q6432894) (← links)
- Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems (Extended Version) (Q6432904) (← links)
- Designing a Framework for Solving Multiobjective Simulation Optimization Problems (Q6433047) (← links)
- A Non-homogeneous Count Process: Marginalizing a Poisson Driven Cox Process (Q6433057) (← links)
- Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction (Q6433063) (← links)
- Long-term instabilities of deep learning-based digital twins of the climate system: The cause and a solution (Q6433081) (← links)
- Using a one-dimensional finite-element approximation of Webster's horn equation to estimate individual ear canal acoustic transfer from input impedances (Q6433099) (← links)
- Learning in latent spaces improves the predictive accuracy of deep neural operators (Q6433200) (← links)
- In-Context Operator Learning with Data Prompts for Differential Equation Problems (Q6433302) (← links)
- Beyond first-order methods for non-convex non-concave min-max optimization (Q6433386) (← links)
- Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motion (Q6433487) (← links)
- M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts (Q6433519) (← links)
- Learning to Transmit with Provable Guarantees in Wireless Federated Learning (Q6433572) (← links)
- Approximate non-linear model predictive control with safety-augmented neural networks (Q6433604) (← links)
- Leveraging the two timescale regime to demonstrate convergence of neural networks (Q6433605) (← links)
- Linear convergence in time-varying generalized Nash equilibrium problems (Q6433615) (← links)
- Regions without flux surfaces of given class for magnetic fields in toroidal geometry (Q6433621) (← links)
- Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness (Q6433667) (← links)
- Why POCS works, and how to make it better (Q6433682) (← links)
- Totally deranged elements of almost simple groups and invariable generating sets (Q6433733) (← links)
- Statistical inference for Gaussian Whittle-Mat\'ern fields on metric graphs (Q6433767) (← links)
- KitchenScale: Learning to predict ingredient quantities from recipe contexts (Q6433837) (← links)
- DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards (Q6433844) (← links)
- Rolling Lookahead Learning for Optimal Classification Trees (Q6433857) (← links)
- An Orchestration Framework for Open System Models of Reconfigurable Intelligent Surfaces (Q6433867) (← links)
- Learning Dictionaries from Physical-Based Interpolation for Water Network Leak Localization (Q6433886) (← links)
- Automatically identifying ordinary differential equations from data (Q6433921) (← links)
- Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design (Q6433979) (← links)
- Local Energy Distribution Based Hyperparameter Determination for Stochastic Simulated Annealing (Q6434064) (← links)
- Exact Bayesian Geostatistics Using Predictive Stacking (Q6434181) (← links)
- DONUT -- Creation, Development, and Opportunities of a Database (Q6434183) (← links)
