The following pages link to author name string (P43):
Displaying 50 items.
- Experimental Analysis of Safety Application Reliability in V2V Networks (Q6341485) (← links)
- Biologically-informed neural networks guide mechanistic modeling from sparse experimental data (Q6341489) (← links)
- The limits of quantum circuit simulation with low precision arithmetic (Q6341532) (← links)
- A Deep Dive into the Distribution Function: Understanding Phase Space Dynamics with Continuum Vlasov-Maxwell Simulations (Q6341550) (← links)
- Explicit Distributed and Localized Model Predictive Control via System Level Synthesis (Q6341590) (← links)
- VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors (Q6341609) (← links)
- copent: Estimating Copula Entropy and Transfer Entropy in R (Q6341618) (← links)
- SimRIS Channel Simulator for Reconfigurable Intelligent Surface-Empowered Communication Systems (Q6341771) (← links)
- Interacting particle solutions of Fokker-Planck equations through gradient-log-density estimation (Q6341796) (← links)
- Uniform Convergence Rates for Maximum Likelihood Estimation under Two-Component Gaussian Mixture Models (Q6341797) (← links)
- Sparse Identification of Slow Timescale Dynamics (Q6341821) (← links)
- Quantum circuit design for universal distribution using a superposition of classical automata (Q6341824) (← links)
- Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation (Q6341861) (← links)
- On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators (Q6341877) (← links)
- A fast and simple modification of Newton's method helping to avoid saddle points (Q6341898) (← links)
- Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization (Q6341949) (← links)
- Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces (Q6341998) (← links)
- Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors (Q6342002) (← links)
- Indoor and Outdoor Physical Channel Modeling and Efficient Positioning for Reconfigurable Intelligent Surfaces in mmWave Bands (Q6342004) (← links)
- Non-Euclidean Universal Approximation (Q6342020) (← links)
- Optimizing Neural Networks via Koopman Operator Theory (Q6342025) (← links)
- SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence (Q6342055) (← links)
- Asymptotic Analysis of Conditioned Stochastic Gradient Descent (Q6342091) (← links)
- Single-step deep reinforcement learning for open-loop control of laminar and turbulent flows (Q6342122) (← links)
- Deep learning-based reduced order models in cardiac electrophysiology (Q6342126) (← links)
- Semi-device-dependent blind quantum tomography (Q6342129) (← links)
- Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems (Q6342135) (← links)
- Online Motion Planning based on Nonlinear Model Predictive Control with Non-Euclidean Rotation Groups (Q6342205) (← links)
- MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution (Q6342227) (← links)
- Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies (Q6342251) (← links)
- Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control (Q6342257) (← links)
- Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark (Q6342268) (← links)
- Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints (Q6342347) (← links)
- The Dual Information Bottleneck (Q6342371) (← links)
- The Heavy-Tail Phenomenon in SGD (Q6342386) (← links)
- Benchmark Computation of Morphological Complexity in the Functionalized Cahn-Hilliard Gradient Flow (Q6342401) (← links)
- Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability (Q6342402) (← links)
- Near-Optimal Confidence Sequences for Bounded Random Variables (Q6342423) (← links)
- Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization (Q6342430) (← links)
- Privacy For Free: Wireless Federated Learning Via Uncoded Transmission With Adaptive Power Control (Q6342487) (← links)
- Simultaneous Decision Making for Stochastic Multi-echelon Inventory Optimization with Deep Neural Networks as Decision Makers (Q6342511) (← links)
- Random Reshuffling: Simple Analysis with Vast Improvements (Q6342566) (← links)
- A Variational Approach to Privacy and Fairness (Q6342621) (← links)
- Uplink and Downlink MIMO-NOMA with Simultaneous Triangularization (Q6342642) (← links)
- AdaS: Adaptive Scheduling of Stochastic Gradients (Q6342660) (← links)
- CoinPress: Practical Private Mean and Covariance Estimation (Q6342664) (← links)
- One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers (Q6342685) (← links)
- Adaptive Gradient Methods Converge Faster with Over-Parameterization (but you should do a line-search) (Q6342704) (← links)
- Robust Optimization and Inference on Manifolds (Q6342708) (← links)
- Exploring Algorithmic Fairness in Robust Graph Covering Problems (Q6342714) (← links)
