The following pages link to has companion code repository (P1687):
Displaying 50 items.
- 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)
- Deep Generative Modeling with Backward Stochastic Differential Equations (Q6432519) (← 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)
- Tip growth in a strongly concentrated aggregation model follows local geodesics (Q6432601) (← links)
- Improved Logical Error Rate via List Decoding of Quantum Polar Codes (Q6432663) (← links)
- Observability of Hypergraphs (Q6432691) (← links)
- GRIL: A $2$-parameter Persistence Based Vectorization for Machine Learning (Q6432705) (← links)
- Gradient flows of interacting Laguerre cells as discrete porous media flows (Q6432716) (← links)
- Robust Tube Model Predictive Control with Uncertainty Quantification for Discrete-Time Linear Systems (Q6432720) (← links)
- Bounds on non-linear errors for variance computation with stochastic rounding * (Q6432736) (← links)
- Automatic Gradient Descent: Deep Learning without Hyperparameters (Q6432739) (← links)
- Homogenization of peristaltic flows in piezoelectric porous media (Q6432784) (← links)
- PH-STAT (Q6432872) (← links)
- Quantum Algorithm for Lattice Boltzmann (QALB) Simulation of Incompressible Fluids with a Nonlinear Collision Term (Q6432874) (← 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)
- Improved lower bounds for Queen's Domination via an exactly-solvable relaxation (Q6432989) (← 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)
- Skein module dimensions of mapping tori of the 2-torus (Q6433129) (← links)
- The Betti numbers of real toric varieties associated to Weyl chambers of types E7 and E8 (Q6433191) (← links)
- Learning in latent spaces improves the predictive accuracy of deep neural operators (Q6433200) (← links)
- Manifold Fitting (Q6433223) (← links)
- In-Context Operator Learning with Data Prompts for Differential Equation Problems (Q6433302) (← links)
- NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems (Q6433371) (← 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)
- Efficient computation of the sinc matrix function for the integration of second-order differential equations (Q6433636) (← 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)
- Linear wave solutions of a stochastic shallow water model (Q6433722) (← links)
- Statistical inference for Gaussian Whittle-Mat\'ern fields on metric graphs (Q6433767) (← links)
- The Lichnerowicz Laplacian on normal homogeneous spaces (Q6433814) (← 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)
