The following pages link to extracted from (P1689):
Displaying 50 items.
- SHAPER: Can You Hear the Shape of a Jet? (Q6427458) (← links)
- On the Limitations of Physics-informed Deep Learning: Illustrations Using First Order Hyperbolic Conservation Law-based Traffic Flow Models (Q6427473) (← links)
- Full-Stack End-To-End mmWave Simulations Using 3GPP and NYUSIM Channel Model in ns-3 (Q6427482) (← links)
- Simultaneous upper and lower bounds of American option prices with hedging via neural networks (Q6427492) (← links)
- Formalising Yoneda Ext in Univalent Foundations (Q6427540) (← links)
- Comparisons of two-stage models for flood mitigation of electrical substations (Q6427576) (← links)
- Elliptic PDE learning is provably data-efficient (Q6427582) (← links)
- A generalized conditional gradient method for multiobjective composite optimization problems (Q6427589) (← links)
- Achieving High Accuracy with PINNs via Energy Natural Gradients (Q6427645) (← links)
- Root finding via local measurement (Q6427659) (← links)
- Invariant Representations of Embedded Simplicial Complexes (Q6427729) (← links)
- FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric (Q6427754) (← links)
- Polynomial-delay generation of functional digraphs up to isomorphism (Q6427788) (← links)
- Domain Adaptive Decision Trees: Implications for Accuracy and Fairness (Q6427790) (← links)
- An Approximation Theory Framework for Measure-Transport Sampling Algorithms (Q6427815) (← links)
- Opinion disparity in hypergraphs with community structure (Q6427816) (← links)
- Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions (Q6427833) (← links)
- Injectivity of ReLU networks: perspectives from statistical physics (Q6427837) (← links)
- Renaissance canons with asymmetric schemes (Q6427845) (← links)
- i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments (Q6427857) (← links)
- Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping (Q6427862) (← links)
- GNOT: A General Neural Operator Transformer for Operator Learning (Q6427874) (← links)
- An active-set method for sparse approximations. Part II: General piecewise-linear terms (Q6427891) (← links)
- Introduction to Generalized Fiducial Inference (Q6427911) (← links)
- Parametrizing Product Shape Manifolds by Composite Networks (Q6427919) (← links)
- Robust one-shot estimation over shared networks in the presence of denial-of-service attacks (Q6427923) (← links)
- Motivic geometry of two-loop Feynman integrals (Q6427956) (← links)
- Monolithic Convex Limiting for Legendre-Gauss-Lobatto Discontinuous Galerkin Spectral Element Methods (Q6428032) (← links)
- ASP: Learn a Universal Neural Solver! (Q6428052) (← links)
- Information Plane Analysis for Dropout Neural Networks (Q6428087) (← links)
- Robustness of quantum algorithms against coherent control errors (Q6428089) (← links)
- Robust and Practical Solution of Laplacian Equations by Approximate Elimination (Q6428100) (← links)
- On the Relationship Between the Value Function and the Efficient Frontier of a Mixed Integer Linear Optimization Problem (Q6428108) (← links)
- The greedy side of the LASSO: New algorithms for weighted sparse recovery via loss function-based orthogonal matching pursuit (Q6428119) (← links)
- State estimation for control: an approach for output-feedback stochastic MPC (Q6428128) (← links)
- Variance-reduced Clipping for Non-convex Optimization (Q6428131) (← links)
- Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB (Q6428132) (← links)
- In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning (Q6428171) (← links)
- A domain splitting strategy for solving PDEs (Q6428179) (← links)
- Optimization-Based Deep learning methods for Magnetic Resonance Imaging Reconstruction and Synthesis (Q6428241) (← links)
- A Slightly Lifted Convex Relaxation for Nonconvex Quadratic Programming with Ball Constraints (Q6428251) (← links)
- DC-based Security Constraints Formulation: A Perspective of Primal-Dual Interior Point Method (Q6428273) (← links)
- Robust Parameter Estimation for Rational Ordinary Differential Equations (Q6428346) (← links)
- DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network (Q6428348) (← links)
- Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed! (Q6428367) (← links)
- Collaborative Learning with a Drone Orchestrator (Q6428368) (← links)
- On Probability Shaping for 5G MIMO Wireless Channel with Realistic LDPC Codes (Q6428433) (← links)
- On the universal distribution of the coverage in split conformal prediction (Q6428460) (← links)
- Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization (Q6428483) (← links)
- Empirical partially Bayes multiple testing and compound $\chi^2$ decisions (Q6428487) (← links)
