The following pages link to extracted from (P1689):
Displaying 50 items.
- Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation (Q6369193) (← links)
- Refinement of Direction of Arrival Estimators by Majorization-Minimization Optimization on the Array Manifold (Q6369216) (← links)
- Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations (Q6369221) (← links)
- Diffusion Schr\"odinger Bridge with Applications to Score-Based Generative Modeling (Q6369280) (← links)
- q-RBFNN:A Quantum Calculus-based RBF Neural Network (Q6369284) (← links)
- Smooth Bilevel Programming for Sparse Regularization (Q6369297) (← links)
- Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification (Q6369301) (← links)
- Kernel Learning for Robust Dynamic Mode Decomposition: Linear and Nonlinear Disambiguation Optimization (LANDO) (Q6369310) (← links)
- Convex optimization (Q6369363) (← links)
- Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path (Q6369389) (← links)
- A Continuous Paradoxical Colouring Rule Using Group Action (Q6369390) (← links)
- A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples (Q6369397) (← links)
- Probabilistic forecasting for sizing in the capacity firming framework (Q6369427) (← links)
- Neural Architecture Search via Bregman Iterations (Q6369451) (← links)
- On Ensembling vs Merging: Least Squares and Random Forests under Covariate Shift (Q6369470) (← links)
- A Diversity-Aware Memetic Algorithm for the Linear Ordering Problem: Improving Best-Known Solutions for Standard Benchmarks (Q6369491) (← links)
- On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework (Q6369504) (← links)
- Principal Bit Analysis: Autoencoding with Schur-Concave Loss (Q6369507) (← links)
- Neural Distributed Source Coding (Q6369508) (← links)
- Learning proofs for the classification of nilpotent semigroups (Q6369543) (← links)
- Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling (Q6369564) (← links)
- Towards Practical Mean Bounds for Small Samples (Q6369566) (← links)
- Subtilings of Elnitsky Tilings for Finite Irreducible Coxeter Groups (Q6369567) (← links)
- Robust Implicit Networks via Non-Euclidean Contractions (Q6369574) (← links)
- Neural Tangent Kernel Maximum Mean Discrepancy (Q6369581) (← links)
- Signatured Deep Fictitious Play for Mean Field Games with Common Noise (Q6369590) (← links)
- Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data (Q6369602) (← links)
- The cohomology of the free loop spaces of $SU(n+1)/T^n$ (Q6369615) (← links)
- End-to-end reconstruction meets data-driven regularization for inverse problems (Q6369628) (← links)
- How Tight Can PAC-Bayes be in the Small Data Regime? (Q6369630) (← links)
- DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning (Q6369673) (← links)
- An Information-theoretic Approach to Distribution Shifts (Q6369676) (← links)
- Neural Monge Map estimation and its applications (Q6369680) (← links)
- Noisy intermediate-scale quantum algorithm for semidefinite programming (Q6369699) (← links)
- Manifold Topology Divergence: a Framework for Comparing Data Manifolds (Q6369715) (← links)
- Dilated Convolution based CSI Feedback Compression for Massive MIMO Systems (Q6369717) (← links)
- Unbalanced Optimal Transport through Non-negative Penalized Linear Regression (Q6369734) (← links)
- Fast Federated Learning in the Presence of Arbitrary Device Unavailability (Q6369735) (← links)
- Efficient solution method based on inverse dynamics for optimal control problems of rigid body systems (Q6369739) (← links)
- Stability and Generalization of Bilevel Programming in Hyperparameter Optimization (Q6369740) (← links)
- Parameter Inference with Bifurcation Diagrams (Q6369745) (← links)
- Optimizing a Binary Intelligent Reflecting Surface for OFDM Communications under Mutual Coupling (Q6369752) (← links)
- Robust Generalization despite Distribution Shift via Minimum Discriminating Information (Q6369773) (← links)
- The Fast Kernel Transform (Q6369782) (← links)
- Bayesian Optimization over Hybrid Spaces (Q6369797) (← links)
- Provably Faster Algorithms for Bilevel Optimization (Q6369799) (← links)
- Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient (Q6369814) (← links)
- Fundamental Privacy Limits in Bipartite Networks under Active Attacks (Q6369818) (← links)
- Encoding physics to learn reaction-diffusion processes (Q6369821) (← links)
- A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs (Q6369849) (← links)
