The following pages link to author name string (P43):
Displaying 50 items.
- Convex optimization over a probability simplex (Q6436736) (← links)
- Graph Reinforcement Learning for Network Control via Bi-Level Optimization (Q6436756) (← links)
- On the implementation of checkpointing with high-level algorithmic differentiation (Q6436838) (← links)
- Phase Retrieval via Model-Free Power Flow Jacobian Recovery (Q6436855) (← links)
- Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs (Q6436859) (← links)
- Distributionally Robust Differential Dynamic Programming with Wasserstein Distance (Q6436869) (← links)
- Upper bounds for integrated information (Q6436877) (← links)
- SHoP: A Deep Learning Framework for Solving High-order Partial Differential Equations (Q6436926) (← links)
- Algorithms for Boolean Matrix Factorization using Integer Programming (Q6436958) (← links)
- Spectral Clustering via Orthogonalization-Free Methods (Q6437002) (← links)
- Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs (Q6437092) (← links)
- A Compound Gaussian Least Squares Algorithm and Unrolled Network for Linear Inverse Problems (Q6437124) (← links)
- Nonparametric classification with missing data (Q6437213) (← links)
- Multi-Objective Optimization Using the R2 Utility (Q6437238) (← links)
- PyTorch Hyperparameter Tuning - A Tutorial for spotPython (Q6437270) (← links)
- Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization (Q6437274) (← links)
- SF-SFD: Stochastic Optimization of Fourier Coefficients to Generate Space-Filling Designs (Q6437292) (← links)
- Soft Actor-Critic Learning-Based Joint Computing, Pushing, and Caching Framework in MEC Networks (Q6437304) (← links)
- ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations (Q6437371) (← links)
- Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks (Q6437380) (← links)
- Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments (Q6437442) (← links)
- Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph (Q6437460) (← links)
- DeepJSCC-l++: Robust and Bandwidth-Adaptive Wireless Image Transmission (Q6437516) (← links)
- On the layer crossing problem for a semi-infinite hydraulic fracture (Q6437517) (← links)
- Cooperative Channel Capacity Learning (Q6437574) (← links)
- An implicit level set algorithm for hydraulic fracturing with a stress-layer asymptote (Q6437607) (← links)
- Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension (Q6437669) (← links)
- Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains (Q6437672) (← links)
- SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models (Q6437700) (← links)
- Directed Message Passing Based on Attention for Prediction of Molecular Properties (Q6437758) (← links)
- Segmented GRAND: Combining Sub-patterns in Near-ML Order (Q6437766) (← links)
- ReSync: Riemannian Subgradient-based Robust Rotation Synchronization (Q6437808) (← links)
- Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata (Q6437828) (← links)
- Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees (Q6437835) (← links)
- Error Feedback Shines when Features are Rare (Q6437837) (← links)
- Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids (Q6437865) (← links)
- Task-aware Distributed Source Coding under Dynamic Bandwidth (Q6437874) (← links)
- The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning (Q6437916) (← links)
- Generative Adversarial Reduced Order Modelling (Q6437941) (← links)
- Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback (Q6437978) (← links)
- The Representation Jensen-Shannon Divergence (Q6438041) (← links)
- Computation of Reliability Statistics for Finite Samples of Success-Failure Experiments (Q6438073) (← links)
- Fractional model of COVID--19 with pathogens as shedding effects (Q6438082) (← links)
- On Consistent Bayesian Inference from Synthetic Data (Q6438097) (← links)
- Error Bounds for Learning with Vector-Valued Random Features (Q6438160) (← links)
- Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex Environments (Q6438182) (← links)
- Optimal Resource Allocation with Delay Guarantees for Network Slicing in Disaggregated RAN (Q6438191) (← links)
- Learning from Integral Losses in Physics Informed Neural Networks (Q6438201) (← links)
- On the Noise Sensitivity of the Randomized SVD (Q6438213) (← links)
- Reaching an equilibrium of prices and holdings of goods through direct buying and selling (Q6438236) (← links)
