The following pages link to author name string (P43):
Displaying 50 items.
- Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders (Q6397425) (← links)
- E-values as unnormalized weights in multiple testing (Q6397524) (← links)
- The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification (Q6397565) (← links)
- Supervised Contrastive CSI Representation Learning for Massive MIMO Positioning (Q6397593) (← links)
- A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching (Q6397595) (← links)
- Particle algorithms for maximum likelihood training of latent variable models (Q6397617) (← links)
- Semantic Information Recovery in Wireless Networks (Q6397689) (← links)
- From prediction markets to interpretable collective intelligence (Q6397702) (← links)
- GCN-FFNN: A Two-Stream Deep Model for Learning Solution to Partial Differential Equations (Q6397743) (← links)
- Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics (Q6397788) (← links)
- Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition (Q6397789) (← links)
- A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates (Q6397856) (← links)
- Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data (Q6397888) (← links)
- TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning (Q6397899) (← links)
- Neural Network Optimal Feedback Control with Guaranteed Local Stability (Q6397923) (← links)
- Ridgeless Regression with Random Features (Q6397943) (← links)
- Bayesian Monitoring of COVID-19 in Sweden (Q6398029) (← links)
- RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks (Q6398069) (← links)
- Enhanced Physics-Informed Neural Networks with Augmented Lagrangian Relaxation Method (AL-PINNs) (Q6398071) (← links)
- FedGiA: An Efficient Hybrid Algorithm for Federated Learning (Q6398124) (← links)
- Efficient implementation of incremental proximal-point methods (Q6398129) (← links)
- Modeling and Correcting Bias in Sequential Evaluation (Q6398163) (← links)
- The College Application Problem (Q6398210) (← links)
- FedNest: Federated Bilevel, Minimax, and Compositional Optimization (Q6398270) (← links)
- BilevelJuMP.jl: Modeling and Solving Bilevel Optimization in Julia (Q6398283) (← links)
- Second-Order Sensitivity Analysis for Bilevel Optimization (Q6398287) (← links)
- Communication-Efficient Adaptive Federated Learning (Q6398347) (← links)
- Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks (Q6398373) (← links)
- Immiscible Color Flows in Optimal Transport Networks for Image Classification (Q6398380) (← links)
- Far from Asymptopia (Q6398443) (← links)
- Physics-informed neural networks for PDE-constrained optimization and control (Q6398449) (← links)
- GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion (Q6398523) (← links)
- Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces (Q6398529) (← links)
- Learning from Drivers to Tackle the Amazon Last Mile Routing Research Challenge (Q6398568) (← links)
- EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization (Q6398606) (← links)
- High-Cardinality Geometrical Constellation Shaping for the Nonlinear Fibre Channel (Q6398659) (← links)
- Universal Caching (Q6398748) (← links)
- Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks (Q6398766) (← links)
- A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks (Q6398785) (← links)
- Deep Learning-based Channel Estimation for Wideband Hybrid MmWave Massive MIMO (Q6398816) (← links)
- A globally convergent fast iterative shrinkage-thresholding algorithm with a new momentum factor for single and multi-objective convex optimization (Q6398838) (← links)
- Evidence estimation in finite and infinite mixture models and applications (Q6398876) (← links)
- Modelling the dynamics of cross-border ideological competition (Q6398972) (← links)
- The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control (Q6399018) (← links)
- Closed-Form Solution of the Unit Normal Loss Integral in Two-Dimensions (Q6399033) (← links)
- MIND: Maximum Mutual Information Based Neural Decoder (Q6399153) (← links)
- Nonparametric Value-at-Risk via Sieve Estimation (Q6399160) (← links)
- Trajectory Inference via Mean-field Langevin in Path Space (Q6399172) (← links)
- The logic of planetary combination in Vettius Valens (Q6399264) (← links)
- Exasim: Generating Discontinuous Galerkin Codes for Numerical Solutions of Partial Differential Equations on Graphics Processors (Q6399290) (← links)
