The following pages link to author name string (P43):
Displaying 50 items.
- Physics-informed machine learning techniques for edge plasma turbulence modelling in computational theory and experiment (Q6399292) (← links)
- Perfect Spectral Clustering with Discrete Covariates (Q6399321) (← links)
- NOMA-aided Joint Communication, Sensing, and Multi-tier Computing Systems (Q6399365) (← links)
- rom.js/cfd.xyz: An open-source framework for generating and visualizing parametric CFD results (Q6399384) (← links)
- Raw Radar data based Object Detection and Heading estimation using Cross Attention (Q6399389) (← links)
- Searching for subgroup-specific associations while controlling the false discovery rate (Q6399435) (← links)
- Dependent Latent Class Models (Q6399440) (← links)
- The Kernelized Taylor Diagram (Q6399472) (← links)
- Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are? (Q6399511) (← links)
- Acceptability Judgements via Examining the Topology of Attention Maps (Q6399617) (← links)
- The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization (Q6399622) (← links)
- Metrics of calibration for probabilistic predictions (Q6399629) (← links)
- Learning Interface Conditions in Domain Decomposition Solvers (Q6399652) (← links)
- A Subspace Method for Time Series Anomaly Detection in Cyber-Physical Systems (Q6399676) (← links)
- Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions (Q6399698) (← links)
- Latent-space disentanglement with untrained generator networks for the isolation of different motion types in video data (Q6399743) (← links)
- Adaptive Bayesian Inference of Markov Transition Rates (Q6399744) (← links)
- Approximate Message Passing with Parameter Estimation for Heavily Quantized Measurements (Q6399753) (← links)
- Interpreting Neural Min-Sum Decoders (Q6399791) (← links)
- Policy-based Primal-Dual Methods for Convex Constrained Markov Decision Processes (Q6399799) (← links)
- A Deep Conjugate Direction Method for Iteratively Solving Linear Systems (Q6399808) (← links)
- Deep Learning-Based Synchronization for Uplink NB-IoT (Q6399822) (← links)
- Fundamentals of Wobbling and Hardware Impairments-Aware Air-to-Ground Channel Model (Q6399859) (← links)
- Learning to branch with Tree MDPs (Q6399891) (← links)
- Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent (Q6399933) (← links)
- Quadratic models for understanding neural network dynamics (Q6399996) (← links)
- Model-Based and Graph-Based Priors for Group Testing (Q6400004) (← links)
- Neur2SP: Neural Two-Stage Stochastic Programming (Q6400043) (← links)
- PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization (Q6400045) (← links)
- Gacs-Korner Common Information Variational Autoencoder (Q6400077) (← links)
- Detecting Abrupt Changes in Sequential Pairwise Comparison Data (Q6400102) (← links)
- Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation (Q6400107) (← links)
- Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization (Q6400148) (← links)
- Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification (Q6400205) (← links)
- Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization (Q6400207) (← links)
- Mutual Information Divergence: A Unified Metric for Multimodal Generative Models (Q6400271) (← links)
- CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization (Q6400276) (← links)
- Multi-layer State Evolution Under Random Convolutional Design (Q6400281) (← links)
- Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations (Q6400290) (← links)
- Auditing Differential Privacy in High Dimensions with the Kernel Quantum R\'enyi Divergence (Q6400351) (← links)
- Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces (Q6400369) (← links)
- Solving infinite-horizon POMDPs with memoryless stochastic policies in state-action space (Q6400382) (← links)
- Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport (Q6400386) (← links)
- MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers (Q6400393) (← links)
- Competitive Gradient Optimization (Q6400397) (← links)
- Input-to-State Safety with Input Delay in Longitudinal Vehicle Control (Q6400453) (← links)
- Unbiased and Efficient Estimation of Causal Treatment Effects in Cross-over Trials (Q6400527) (← links)
- Metrizing Fairness (Q6400542) (← links)
- OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs (Q6400562) (← links)
- An Approach to Ordering Objectives and Pareto Efficient Solutions (Q6400598) (← links)
